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c65a90434a8d18c56f64467018d06027f2799ef38b192d88fa98ae27a7bba342
2026-01-07T00:00:00-05:00
SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents
arXiv:2512.22322v2 Announce Type: replace Abstract: Agentic reinforcement learning (RL) holds great promise for the development of autonomous agents under complex GUI tasks, but its scalability remains severely hampered by the verification of task completion. Existing task verification is treated as a passive, post-hoc...
https://arxiv.org/abs/2512.22322
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e3d9c74600c3b73b60d3b2ba752db5e50bec2abcd9500b94d9553933c7fc15c4
2026-01-07T00:00:00-05:00
When Does Multi-Task Learning Fail? Quantifying Data Imbalance and Task Independence in Metal Alloy Property Prediction
arXiv:2512.22740v2 Announce Type: replace Abstract: Multi-task learning (MTL) is widely adopted in materials informatics under the assumption that related properties share leverageable physical principles. This study critically examines this premise by simultaneously predicting electrical resistivity, Vickers hardness,...
https://arxiv.org/abs/2512.22740
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5e69f3adbb4b4db39a63b780663f9e05498c06f9b6b1a21cdbc062abce61f06c
2026-01-07T00:00:00-05:00
Agentic Physical AI toward a Domain-Specific Foundation Model for Nuclear Reactor Control
arXiv:2512.23292v2 Announce Type: replace Abstract: The prevailing paradigm in AI for physical systems, scaling general-purpose foundation models toward universal multimodal reasoning, confronts a fundamental barrier at the control interface. Recent benchmarks show that even frontier vision-language models achieve only...
https://arxiv.org/abs/2512.23292
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9660538b8b8a733b37546e759c15802f989a083ad6da36f80d9312f8faac5d50
2026-01-07T00:00:00-05:00
Less is more: Probabilistic reduction is best explained by small-scale predictability measures
arXiv:2512.23659v2 Announce Type: replace Abstract: The primary research questions of this paper center on defining the amount of context that is necessary and/or appropriate when investigating the relationship between language model probabilities and cognitive phenomena. We investigate whether whole utterances are nec...
https://arxiv.org/abs/2512.23659
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e39b03a65bf64947d42abc166a491d23bf77f0bf321be1e89eebde3a7e0eb80f
2026-01-07T00:00:00-05:00
Large Empirical Case Study: Go-Explore adapted for AI Red Team Testing
arXiv:2601.00042v2 Announce Type: replace Abstract: Production LLM agents with tool-using capabilities require security testing despite their safety training. We adapt Go-Explore to evaluate GPT-4o-mini across 28 experimental runs spanning six research questions. We find that random-seed variance dominates algorithmic ...
https://arxiv.org/abs/2601.00042
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f2ce286e9ab963e6842c603530563e492932f78c602d7534bccf66443511a62e
2026-01-07T00:00:00-05:00
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
arXiv:2601.00095v2 Announce Type: replace Abstract: Large language models increasingly require structured inference, from JSON schema enforcement to multi-lingual parsing, where outputs must satisfy complex constraints. We introduce MetaJuLS, a meta-reinforcement learning approach that learns universal constraint propa...
https://arxiv.org/abs/2601.00095
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552c70f9229ac2d1e6efce395672c910f4562ccb1a351de8599b2a8ffafc452f
2026-01-07T00:00:00-05:00
FCMBench: A Comprehensive Financial Credit Multimodal Benchmark for Real-world Applications
arXiv:2601.00150v2 Announce Type: replace Abstract: As multimodal AI becomes widely used for credit risk assessment and document review, a domain-specific benchmark is urgently needed that (1) reflects documents and workflows specific to financial credit applications, (2) includes credit-specific understanding and real...
https://arxiv.org/abs/2601.00150
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d97006ae29f0e3303ff284b20acde3170170e492c35fe153b386424a859c9dd2
2026-01-07T00:00:00-05:00
When Agents See Humans as the Outgroup: Belief-Dependent Bias in LLM-Powered Agents
arXiv:2601.00240v2 Announce Type: replace Abstract: This paper reveals that LLM-powered agents exhibit not only demographic bias (e.g., gender, religion) but also intergroup bias under minimal "us" versus "them" cues. When such group boundaries align with the agent-human divide, a new bias risk emerges: agents may trea...
https://arxiv.org/abs/2601.00240
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6c5aadde3c4cf814e7e90dc8ac84495e47f033d9cfc8e7826bff0d075a17c1a6
2026-01-07T00:00:00-05:00
SlingBAG Pro: Accelerating point cloud-based iterative reconstruction for 3D photoacoustic imaging with arbitrary array geometries
arXiv:2601.00551v2 Announce Type: replace Abstract: High-quality three-dimensional (3D) photoacoustic imaging (PAI) is gaining increasing attention in clinical applications. To address the challenges of limited space and high costs, irregular geometric transducer arrays that conform to specific imaging regions are prom...
https://arxiv.org/abs/2601.00551
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116cc074d7c02d9911e0a5f42148fa339b4a5721a798994bcd412918c17beeee
2026-01-07T00:00:00-05:00
Interpretability-Guided Bi-objective Optimization: Aligning Accuracy and Explainability
arXiv:2601.00655v2 Announce Type: replace Abstract: This paper introduces Interpretability-Guided Bi-objective Optimization (IGBO), a framework that trains interpretable models by incorporating structured domain knowledge via a bi-objective formulation. IGBO encodes feature importance hierarchies as a Directed Acyclic ...
https://arxiv.org/abs/2601.00655
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91b7e7f870d98e490986f9b0d465847115b441588eacf72bdae650bf72128d1f
2026-01-07T00:00:00-05:00
CogCanvas: Verbatim-Grounded Artifact Extraction for Long LLM Conversations
arXiv:2601.00821v2 Announce Type: replace Abstract: Conversation summarization loses nuanced details: when asked about coding preferences after 40 turns, summarization recalls "use type hints" but drops the critical constraint "everywhere" (19.0% exact match vs. 93.0% for our approach). We present CogCanvas, a training...
https://arxiv.org/abs/2601.00821
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072caf69d025c1797c9d95eefd01a8a37bb461d5200b43814ffd1a6d6b3d192e
2026-01-07T00:00:00-05:00
Geometric and Dynamic Scaling in Deep Transformers
arXiv:2601.01014v2 Announce Type: replace Abstract: Despite their empirical success, pushing Transformer architectures to extreme depth often leads to a paradoxical failure: representations become increasingly redundant, lose rank, and ultimately collapse. Existing explanations largely attribute this phenomenon to opti...
https://arxiv.org/abs/2601.01014
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6d39c633efc4aaed4951b197f8958ff357c9f37455ea14d51ada228b22b88afa
2026-01-07T00:00:00-05:00
Coarse-Grained Kullback--Leibler Control of Diffusion-Based Generative AI
arXiv:2601.01045v2 Announce Type: replace Abstract: Diffusion models and score-based generative models provide a powerful framework for synthesizing high-quality images from noise. However, there is still no satisfactory theory that describes how coarse-grained quantities, such as blockwise intensity or class proportio...
https://arxiv.org/abs/2601.01045
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0492583918b71a011ac5ce238142b45fc06d972047b6aba5cc5f42b7e958a202
2026-01-07T00:00:00-05:00
A UCB Bandit Algorithm for General ML-Based Estimators
arXiv:2601.01061v2 Announce Type: replace Abstract: We present ML-UCB, a generalized upper confidence bound algorithm that integrates arbitrary machine learning models into multi-armed bandit frameworks. A fundamental challenge in deploying sophisticated ML models for sequential decision-making is the lack of tractable...
https://arxiv.org/abs/2601.01061
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893e1d8ccf0bbe2c440a3d8ce76736215ab5a330714504510ed277b866051a6a
2026-01-07T00:00:00-05:00
Making MoE-based LLM Inference Resilient with Tarragon
arXiv:2601.01310v2 Announce Type: replace Abstract: Mixture-of-Experts (MoE) models are increasingly used to serve LLMs at scale, but failures become common as deployment scale grows. Existing systems exhibit poor failure resilience: even a single worker failure triggers a coarse-grained, service-wide restart, discardi...
https://arxiv.org/abs/2601.01310
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9ab6bb0409f937f988a45174b4dd259c554e7f48193744c6d35ee128fe43555c
2026-01-07T00:00:00-05:00
Accelerating Storage-Based Training for Graph Neural Networks
arXiv:2601.01473v2 Announce Type: replace Abstract: Graph neural networks (GNNs) have achieved breakthroughs in various real-world downstream tasks due to their powerful expressiveness. As the scale of real-world graphs has been continuously growing, a storage-based approach to GNN training has been studied, which leve...
https://arxiv.org/abs/2601.01473
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53a2930b777e751d3d5751a220d51e0308efda0a93eefcf7ff6fc9734f9d0036
2026-01-07T00:00:00-05:00
MOSS Transcribe Diarize: Accurate Transcription with Speaker Diarization
arXiv:2601.01554v2 Announce Type: replace Abstract: Speaker-Attributed, Time-Stamped Transcription (SATS) aims to transcribe what is said and to precisely determine the timing of each speaker, which is particularly valuable for meeting transcription. Existing SATS systems rarely adopt an end-to-end formulation and are ...
https://arxiv.org/abs/2601.01554
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64ca65201fea9e77126168ea47523de441e2deba13a640a6d027841f0ec37466
2026-01-07T00:00:00-05:00
Steerability of Instrumental-Convergence Tendencies in LLMs
arXiv:2601.01584v2 Announce Type: replace Abstract: We examine two properties of AI systems: capability (what a system can do) and steerability (how reliably one can shift behavior toward intended outcomes). A central question is whether capability growth reduces steerability and risks control collapse. We also disting...
https://arxiv.org/abs/2601.01584
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08319c4ab74fe88da0cd9440636d7b667f1fc87bed415f06d5ddfd2dd75f803f
2026-01-07T00:00:00-05:00
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
arXiv:2601.01720v2 Announce Type: replace Abstract: First-Frame Propagation (FFP) offers a promising paradigm for controllable video editing, but existing methods are hampered by a reliance on cumbersome run-time guidance. We identify the root cause of this limitation as the inadequacy of current training datasets, whi...
https://arxiv.org/abs/2601.01720
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1694e136e0c1a1006cecc7a96d3482c958e6c25b8b528080c70258938dca9dd9
2026-01-07T00:00:00-05:00
PsychEval: A Multi-Session and Multi-Therapy Benchmark for High-Realism AI Psychological Counselor
arXiv:2601.01802v2 Announce Type: replace Abstract: To develop a reliable AI for psychological assessment, we introduce \texttt{PsychEval}, a multi-session, multi-therapy, and highly realistic benchmark designed to address three key challenges: \textbf{1) Can we train a highly realistic AI counselor?} Realistic counsel...
https://arxiv.org/abs/2601.01802
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79fa009518a73ac2c61eb555cce0178c3a231cc874296ef97a5d7830b66fcb6f
2026-01-07T00:00:00-05:00
RSwinV2-MD: An Enhanced Residual SwinV2 Transformer for Monkeypox Detection from Skin Images
arXiv:2601.01835v2 Announce Type: replace Abstract: In this paper, a deep learning approach for Mpox diagnosis named Customized Residual SwinTransformerV2 (RSwinV2) has been proposed, trying to enhance the capability of lesion classification by employing the RSwinV2 tool-assisted vision approach. In the RSwinV2 method,...
https://arxiv.org/abs/2601.01835
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a315eb822b52aaeddac37bec30679b28572a0a4ad14eb6f8ee0cba88a38d88bf
2026-01-07T00:00:00-05:00
Safety at One Shot: Patching Fine-Tuned LLMs with A Single Instance
arXiv:2601.01887v2 Announce Type: replace Abstract: Fine-tuning safety-aligned large language models (LLMs) can substantially compromise their safety. Previous approaches require many safety samples or calibration sets, which not only incur significant computational overhead during realignment but also lead to noticeab...
https://arxiv.org/abs/2601.01887
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15e27f901848141e38567c55a74affc187c1641f009caf8ba98df2d638bec924
2026-01-07T00:00:00-05:00
Tackling the Inherent Difficulty of Noise Filtering in RAG
arXiv:2601.01896v2 Announce Type: replace Abstract: Retrieval-Augmented Generation (RAG) has become a widely adopted approach to enhance Large Language Models (LLMs) by incorporating external knowledge and reducing hallucinations. However, noisy or irrelevant documents are often introduced during RAG, potentially degra...
https://arxiv.org/abs/2601.01896
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48aafd6f641901f7ce138cd27a13658404362d5824410dd408d54d308324df53
2026-01-07T00:00:00-05:00
Hidden State Poisoning Attacks against Mamba-based Language Models
arXiv:2601.01972v2 Announce Type: replace Abstract: State space models (SSMs) like Mamba offer efficient alternatives to Transformer-based language models, with linear time complexity. Yet, their adversarial robustness remains critically unexplored. This paper studies the phenomenon whereby specific short input phrases...
https://arxiv.org/abs/2601.01972
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56504dbf4354cd36df87ecc84270166cd22d65f4acdc5b247e92b9e714765662
2026-01-07T00:00:00-05:00
MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics
arXiv:2601.02075v2 Announce Type: replace Abstract: Molecular dynamics (MD) simulations are essential for understanding atomic-scale behaviors in materials science, yet writing LAMMPS scripts remains highly specialized and time-consuming tasks. Although LLMs show promise in code generation and domain-specific question ...
https://arxiv.org/abs/2601.02075
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7b07cc8954efaeca863e610258f472aba0775c0f0223568b8aaa2b50341c0682
2026-01-07T00:00:00-05:00
PhysSFI-Net: Physics-informed Geometric Learning of Skeletal and Facial Interactions for Orthognathic Surgical Outcome Prediction
arXiv:2601.02088v2 Announce Type: replace Abstract: Orthognathic surgery repositions jaw bones to restore occlusion and enhance facial aesthetics. Accurate simulation of postoperative facial morphology is essential for preoperative planning. However, traditional biomechanical models are computationally expensive, while...
https://arxiv.org/abs/2601.02088
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d3075e2fcf2e628342af8123d8eb23dc871fb256982e2d74b7b53ca6ba0a8c77
2026-01-07T00:00:00-05:00
MCD-Net: A Lightweight Deep Learning Baseline for Optical-Only Moraine Segmentation
arXiv:2601.02091v2 Announce Type: replace Abstract: Glacial segmentation is essential for reconstructing past glacier dynamics and evaluating climate-driven landscape change. However, weak optical contrast and the limited availability of high-resolution DEMs hinder automated mapping. This study introduces the first lar...
https://arxiv.org/abs/2601.02091
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1d1a39c4eb6fcbadebc51dedc7759a0c52dda8183fd5fde7c35b80bb47858230
2026-01-07T00:00:00-05:00
Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
arXiv:2601.02240v2 Announce Type: replace Abstract: The growing performance demands and higher deployment densities of next-generation wireless systems emphasize the importance of adopting strategies to manage the energy efficiency of mobile networks. In this demo, we showcase a framework that enables research on Deep ...
https://arxiv.org/abs/2601.02240
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12e4e67c4586554f6deb89ea1ea508293b1dcae7a3056c040bb3f4e34e6e89c0
2026-01-07T00:00:00-05:00
Deciding Serializability in Network Systems
arXiv:2601.02251v2 Announce Type: replace Abstract: We present the SER modeling language for automatically verifying serializability of concurrent programs, i.e., whether every concurrent execution of the program is equivalent to some serial execution. SER programs are suitably restricted to make this problem decidable...
https://arxiv.org/abs/2601.02251
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a9fbb09999b6443323ffcf2d5a1a6de2566fa240ce0134cf56b8185bc32a794b
2026-01-07T00:00:00-05:00
pdfQA: Diverse, Challenging, and Realistic Question Answering over PDFs
arXiv:2601.02285v2 Announce Type: replace Abstract: PDFs are the second-most used document type on the internet (after HTML). Yet, existing QA datasets commonly start from text sources or only address specific domains. In this paper, we present pdfQA, a multi-domain 2K human-annotated (real-pdfQA) and 2K synthetic data...
https://arxiv.org/abs/2601.02285
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9c8e5e7e54e5ef15f09184823690c945f03f8085cc3e5644188ee32ba10d0b8d
2026-01-07T00:00:00-05:00
At the Intersection of Deep Sequential Model Framework and State-space Model Framework: Study on Option Pricing
arXiv:2012.07784v2 Announce Type: replace-cross Abstract: Inference and forecast problems of the nonlinear dynamical system have arisen in a variety of contexts. Reservoir computing and deep sequential models, on the one hand, have demonstrated efficient, robust, and superior performance in modeling simple and chaotic ...
https://arxiv.org/abs/2012.07784
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c68c9b540a757ff6b2335a409b70bd514cb58a7b839c2bffdba85ca85acad212
2026-01-07T00:00:00-05:00
Development of a high-resolution indoor radon map using a new machine learning-based probabilistic model and German radon survey data
arXiv:2310.11143v5 Announce Type: replace-cross Abstract: Accurate knowledge of indoor radon concentration is crucial for assessing radon-related health effects or identifying radon-prone areas. Indoor radon concentration at the national scale is usually estimated on the basis of extensive measurement campaigns. Howeve...
https://arxiv.org/abs/2310.11143
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134fd772df66f64f91a98451ab1d614d0fb3bbbd5c7fcb392e50d35583d65bfd
2026-01-07T00:00:00-05:00
Learning mirror maps in policy mirror descent
arXiv:2402.05187v3 Announce Type: replace-cross Abstract: Policy Mirror Descent (PMD) is a popular framework in reinforcement learning, serving as a unifying perspective that encompasses numerous algorithms. These algorithms are derived through the selection of a mirror map and enjoy finite-time convergence guarantees....
https://arxiv.org/abs/2402.05187
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5daca0448ad935a2d398e70aba5441e5f7f6e29327e6c9e16b3b8e606b5e2dcf
2026-01-07T00:00:00-05:00
A Method For Bounding Tail Probabilities
arXiv:2402.13662v3 Announce Type: replace-cross Abstract: We present a method for upper and lower bounding the right and the left tail probabilities of continuous random variables (RVs). For the right tail probability of RV $X$ with probability density function $f (x)$, this method requires first setting a continuous, ...
https://arxiv.org/abs/2402.13662
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cec46043e748d26030c4e3d521b05f36e904c3f3b0491028bd40c857e8712c1d
2026-01-07T00:00:00-05:00
Convergence of Decentralized Stochastic Subgradient-based Methods for Nonsmooth Nonconvex functions
arXiv:2403.11565v4 Announce Type: replace-cross Abstract: In this paper, we focus on the decentralized stochastic subgradient-based methods in minimizing nonsmooth nonconvex functions without Clarke regularity, especially in the decentralized training of nonsmooth neural networks. We propose a general framework that un...
https://arxiv.org/abs/2403.11565
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06afa83692a4c4c82129aac470be17a8d5da705b269f0ffd8bd25eaf0bb427df
2026-01-07T00:00:00-05:00
A split-step Christov method for approximating rational PDE solutions
arXiv:2407.04013v3 Announce Type: replace-cross Abstract: Rational solutions of partial differential equations (PDEs) are notoriously difficult to approximate via spectral Fourier methods due to their algebraically slow decay rate. In this work we discuss approximating rational PDE solutions in a basis of orthogonal fu...
https://arxiv.org/abs/2407.04013
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caafb35fb35997e656145fccb1601517895e9c8603081675e6fc0866a29a137f
2026-01-07T00:00:00-05:00
Robust Egoistic Rigid Body Localization
arXiv:2501.10219v2 Announce Type: replace-cross Abstract: We consider a robust and self-reliant (or "egoistic") variation of the rigid body localization (RBL) problem, in which a primary rigid body seeks to estimate the pose (i.e., location and orientation) of another rigid body (or "target"), relative to its own, with...
https://arxiv.org/abs/2501.10219
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cb9d1ac69814bf0023ad6d5d77624977e126010baf133bf891582039574a61aa
2026-01-07T00:00:00-05:00
Multimodal oscillator networks learn to solve a classification problem
arXiv:2502.12020v3 Announce Type: replace-cross Abstract: We numerically demonstrate a network of coupled oscillators that can learn to solve a classification task from a set of examples -- performing both training and inference through the nonlinear evolution of the system. We accomplish this by combining three key el...
https://arxiv.org/abs/2502.12020
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16534e41e8033ce0ae874e770c2b19de414d7d11c60820f6bc7d12a277ccc651
2026-01-07T00:00:00-05:00
Network topology of the Euro Area interbank market
arXiv:2502.15611v2 Announce Type: replace-cross Abstract: The rapidly increasing availability of large amounts of granular financial data, paired with the advances of big data related technologies induces the need of suitable analytics that can represent and extract meaningful information from such data. In this paper ...
https://arxiv.org/abs/2502.15611
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271e954cb4c92aa628bbb60286a9b29aa97466d4a5e04796a7d7962fea7d676b
2026-01-07T00:00:00-05:00
Global law of conjugate kernel random matrices with heavy-tailed weights
arXiv:2502.18428v2 Announce Type: replace-cross Abstract: We study the asymptotic spectral distribution of the conjugate kernel random matrix $YY^\top$, where $Y= f(WX)$ arises from a two-layer neural network model. We consider the setting where $W$ and $X$ are random rectangular matrices with i.i.d.\ entries, where th...
https://arxiv.org/abs/2502.18428
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89b50810687351d37f9a9661c64bc3cca65d0d2d4ead152c9c92c6f9969cde7c
2026-01-07T00:00:00-05:00
SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
arXiv:2503.16941v3 Announce Type: replace-cross Abstract: Personalized services are central to today's digital economy, and their sequential decisions are often modeled as contextual bandits. Modern applications pose two main challenges: high-dimensional covariates and the need for nonparametric models to capture compl...
https://arxiv.org/abs/2503.16941
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039beac21f5997174bae7ef5cdb8de5c940cdccd4dcf0e2e8930ce81ede0c830
2026-01-07T00:00:00-05:00
AdGT: Decentralized Gradient Tracking with Tuning-free Per-Agent Stepsize
arXiv:2504.15196v4 Announce Type: replace-cross Abstract: In decentralized optimization, the choice of stepsize plays a critical role in algorithm performance. A common approach is to use a shared stepsize across all agents to ensure convergence. However, selecting an optimal stepsize often requires careful tuning, whi...
https://arxiv.org/abs/2504.15196
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dc09f58fd9820331604050de45db00af5785c8a3025d845e37e7917566c7c6a9
2026-01-07T00:00:00-05:00
Vertex evaluation of multiplex graphs using Forman Curvature
arXiv:2504.17286v2 Announce Type: replace-cross Abstract: The identification of vertices that play a central role in network analysis is a fundamental challenge. Although traditional centrality measures have been extensively employed for this purpose, the increasing complexity of modern networks necessitates the use of...
https://arxiv.org/abs/2504.17286
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03592e022a71576fcf75b20c32091df5ae58a41d1f41f7b8ac3f8b4a5fdccd31
2026-01-07T00:00:00-05:00
Machine Learning-Based Modeling of the Anode Heel Effect in X-ray Beam Monte Carlo Simulations
arXiv:2504.19155v3 Announce Type: replace-cross Abstract: To develop a machine learning-based framework for accurately modeling the anode heel effect in Monte Carlo simulations of X-ray imaging systems, enabling realistic beam intensity profiles with minimal experimental calibration. Multiple regression models were tra...
https://arxiv.org/abs/2504.19155
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7a12d3180e7db3ff4922251bb3837a8f1b3fc0a1aaa2039ddccb2762f55e3441
2026-01-07T00:00:00-05:00
Constant-Factor Algorithms for Revenue Management with Consecutive Stays
arXiv:2506.00909v2 Announce Type: replace-cross Abstract: We study network revenue management problems motivated by applications such as railway ticket sales and hotel room bookings. Requests, each requiring a resource for a consecutive stay, arrive sequentially with known arrival probabilities. We investigate two scen...
https://arxiv.org/abs/2506.00909
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c2009d164a2c973d1a3e48be00e603350035328d16f03803205c5d9d81e34167
2026-01-07T00:00:00-05:00
Explainable AI Technique in Lung Cancer Detection Using Convolutional Neural Networks
arXiv:2508.10196v3 Announce Type: replace-cross Abstract: Early detection of lung cancer is critical to improving survival outcomes. We present a deep learning framework for automated lung cancer screening from chest computed tomography (CT) images with integrated explainability. Using the IQ-OTH/NCCD dataset (1,197 sc...
https://arxiv.org/abs/2508.10196
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4c3a1ea84b3d40bad99202824a67b903e388be91299270a3639addb3d9a5fc57
2026-01-07T00:00:00-05:00
Machine Learning H-theorem
arXiv:2508.14003v3 Announce Type: replace-cross Abstract: H-theorem provides a microscopic foundation of the Second Law of Thermodynamics and is therefore essential to establishing statistical physics, but at the same time, H-theorem has been subject to controversy that in part persists till this day. To better underst...
https://arxiv.org/abs/2508.14003
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2ffbf635bb8b8915ed6f72ce59aad2674f997cebd460823986b99403827b259a
2026-01-07T00:00:00-05:00
Integrating upstream and downstream reciprocity stabilizes cooperator-defector coexistence in others-only public goods games
arXiv:2509.04743v2 Announce Type: replace-cross Abstract: Human cooperation persists among strangers in large, well-mixed populations despite theoretical predictions of difficulties, leaving a fundamental evolutionary puzzle. While upstream (pay-it-forward: helping others because you were helped) and downstream (reward...
https://arxiv.org/abs/2509.04743
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ca56de06cf5928d2317f311ec82346ac512e0ca07771bb9d54e518e011c9e8ee
2026-01-07T00:00:00-05:00
Error analysis of a compositional score-based algorithm for simulation-based inference
arXiv:2510.15817v2 Announce Type: replace-cross Abstract: Simulation-based inference (SBI) has become a widely used framework in applied sciences for estimating the parameters of stochastic models that best explain experimental observations. A central question in this setting is how to effectively combine multiple obse...
https://arxiv.org/abs/2510.15817
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424770e1ace1de6ac00ef13926601acf0572714e01ccc07d6536d36322c86845
2026-01-07T00:00:00-05:00
A Trust-region Funnel Algorithm for Grey-Box Optimisation
arXiv:2511.18998v2 Announce Type: replace-cross Abstract: Grey-box optimisation, where some parts of an optimisation problem are represented by explicit algebraic (glass-box) models while others are treated as black-box models lacking analytic derivatives, remains a challenge in process systems engineering. Trust-regio...
https://arxiv.org/abs/2511.18998
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1486d7c69907afadbe7b159dbcda8ef10ff5fc4f199ca2e8ec73ef4ed097ab3f
2026-01-07T00:00:00-05:00
The Color-Clinical Decoupling: Why Perceptual Calibration Fails Clinical Biomarkers in Smartphone Dermatology
arXiv:2512.21988v2 Announce Type: replace-cross Abstract: Smartphone-based tele-dermatology assumes that colorimetric calibration ensures clinical reliability, yet this remains untested for underrepresented skin phototypes. We investigated whether standard calibration translates to reliable clinical biomarkers using 43...
https://arxiv.org/abs/2512.21988
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7f6e561c4a4e674d71fc36504e5e708c8c951ddcc06357de7d39c4d0f4f42f59
2026-01-07T00:00:00-05:00
Modeling Information Blackouts in Missing Not-At-Random Time Series Data
arXiv:2601.01480v2 Announce Type: replace-cross Abstract: Large-scale traffic forecasting relies on fixed sensor networks that often exhibit blackouts: contiguous intervals of missing measurements caused by detector or communication failures. These outages are typically handled under a Missing At Random (MAR) assumptio...
https://arxiv.org/abs/2601.01480
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91bfbb28a51400e2ea78658da3cae2878602567715c220210c0e36f4b11e5bf2
2026-01-07T00:00:00-05:00
Rethinking Secure Semantic Communications in the Age of Generative and Agentic AI: Threats and Opportunities
arXiv:2601.01791v2 Announce Type: replace-cross Abstract: Semantic communication (SemCom) improves communication efficiency by transmitting task-relevant information instead of raw bits and is expected to be a key technology for 6G networks. Recent advances in generative AI (GenAI) further enhance SemCom by enabling ro...
https://arxiv.org/abs/2601.01791
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2b6780dd46494a0bf3b6cab849282da5f703979ea710f9710ed89f6037c9abb3
2026-01-07T00:00:00-05:00
Spectral Properties and Energy Injection in Mercury's Magnetotail Current Sheet
arXiv:2601.02393v1 Announce Type: new Abstract: Mercury's magnetotail hosts a thin and highly dynamic current sheet (CS), where magnetic reconnection and strong fluctuations frequently occur. Here, we statistically analyze magnetic field power spectra across 370 magnetotail CSs observed by MESSENGER. About 20% of the e...
https://arxiv.org/abs/2601.02393
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285d289c722c57c2b489c99bf154c6624b20ee80aaa783ac20929e86e258e6a8
2026-01-07T00:00:00-05:00
Modeling Policy and Resource Dynamics in the Construction Sector of Developing Countries: A System Dynamics Approach Using Sudan as a Case Study
arXiv:2601.02405v1 Announce Type: new Abstract: Construction industries in developing countries face systemic challenges such as chronic project delays, cost overruns, and regulatory inefficiencies. This paper presents a system dynamics (SD) modeling framework for analyzing policy and resource dynamics within the const...
https://arxiv.org/abs/2601.02405
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2492173607033d392c26c25afdbea6475127460936cd22ef47d0f97680894bcc
2026-01-07T00:00:00-05:00
A Combined Barrow Entropy and QCD Ghost Mechanism for Late-Time Cosmic Acceleration
arXiv:2601.02408v1 Announce Type: new Abstract: We investigate a unified dark-energy scenario based on the combined effects of Barrow entropy corrections and the QCD ghost mechanism, referred to as the BH--QCDGDE model. The dark-energy density is constructed in a generalized holographic form that incorporates both Barr...
https://arxiv.org/abs/2601.02408
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fb054f02ae1146e4db8df9079301bf599703415263c8992707d590297b441871
2026-01-07T00:00:00-05:00
Complex-time singular structure of the 1D Hou-Luo model
arXiv:2601.02464v1 Announce Type: new Abstract: Starting from smooth initial data, we investigate the complex-time analytic structure of the one-dimensional Hou--Luo (HL) model, a wall approximation of the three-dimensional axisymmetric Euler equations. While the finite-time blow-up in this setting has been already est...
https://arxiv.org/abs/2601.02464
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6afa69d1fb610a55aff7b57b9dc8b7d5f3e2d273ce9096dee75ac40a6c00a090
2026-01-07T00:00:00-05:00
How to Engage Active Pedagogy with Physics Faculty: Watch Out for Powerlessness
arXiv:2601.02493v1 Announce Type: new Abstract: Despite the large body of research showing that students in STEM classes at all levels learn better via active learning than they do via lecture, post-secondary physics and astronomy (P&A) faculty members continue to primarily use teacher-focused, lecture pedagogy in ...
https://arxiv.org/abs/2601.02493
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854a09ee7be9b2eaff1006f7881b25d95707c409442d5290aa47244f17b492e3
2026-01-07T00:00:00-05:00
Ultrafast cation-dication dynamics in ammonia borane: H-migration to roaming H2 and reduced H3+ formation under strong-field ionization
arXiv:2601.02510v1 Announce Type: new Abstract: We report a femtosecond time-resolved strong-field study of ammonia borane (AB, BH3NH3) following both single and double ionization, revealing ultrafast fragmentation dynamics and hydrogen release. Mass spectrometry, combined with fragment correlation analysis and ab init...
https://arxiv.org/abs/2601.02510
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3b74529159482c39807ccf7627e6ef5fdfb11b43f26cc95919eaac8d332e487a
2026-01-07T00:00:00-05:00
Relaxation and statistical equilibria in generalised two-dimensional flows
arXiv:2601.02544v1 Announce Type: new Abstract: We study relaxation toward statistical equilibrium states of inviscid generalised two-dimensional flows, where the generalised vorticity $q$ is related to the streamfunction $\psi$ via $q=(-\nabla^2)^{\frac{\alpha}{2}}\psi$, with the parameter $\alpha$ controlling the str...
https://arxiv.org/abs/2601.02544
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637fca50fabb974e3c8b10f4ecdf080fb2189e25ce92f40fdb7e4e25062bccff
2026-01-07T00:00:00-05:00
Electron Beam Profiling via Rydberg Electromagnetically Induced Transparency in Rubidium Vapor with Crossed Laser beams
arXiv:2601.02549v1 Announce Type: new Abstract: We present an all-optical detection approach to determine the position and spatial profile of an electron beam based on quantum properties of alkali metal atoms. To measure the electric field, produced by an electron beam, we excite thermal rubidium atoms to a highly exci...
https://arxiv.org/abs/2601.02549
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e898c5c12ada976e5804add242084139409b874675c6001b892b00a1ae559613
2026-01-07T00:00:00-05:00
Deep Learning-based Single-Shot Composite Fringe Projection Profilometry with Pixel-Wise Uncertainty Quantification
arXiv:2601.02572v1 Announce Type: new Abstract: Driven by the growing demand for high-speed 3D measurement in advanced manufacturing, optical metrology algorithms must deliver high accuracy and robustness under dynamic conditions. Fringe projection profilometry (FPP) offers high precision, yet the 2pi ambiguity of the ...
https://arxiv.org/abs/2601.02572
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365b44feaf63ad57179cb8d766ae5f849c5006b55d00ca66a457ff09f67a0aa8
2026-01-07T00:00:00-05:00
Receiver Functions in the San Fernando Valley, California: Graph-Regularized Bayesian Approach for Gravity-Informed Mapping
arXiv:2601.02575v1 Announce Type: new Abstract: The San Fernando Valley (SFV) in Southern California is a complex sedimentary basin whose shape strongly influences ground shaking. We develop a fully quantitative, probabilistic graph-regularized inference model that integrates both gravity and receiver function (RF) con...
https://arxiv.org/abs/2601.02575
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698ba52bac3fd94ec2a5fbf2d3bc8dc70213fb65999da71ce68aa0c959cadd85
2026-01-07T00:00:00-05:00
Integrated Radiation-Magneto-Hydrodynamic Simulations of Magnetized Burning Plasmas. I. Magnetizing Ignition-Class Designs
arXiv:2601.02588v1 Announce Type: new Abstract: Motivated by breakthroughs in inertial confinement fusion (ICF), first achieving ignition conditions in National Ignition Facility (NIF) shot N210808 and then laser energy breakeven in N221204, modeling efforts here investigate the effect of imposed magnetic fields on int...
https://arxiv.org/abs/2601.02588
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3bca610d7e09e5a03ac925bbe256ff77b709cb3907508e43190252e540ccbfb0
2026-01-07T00:00:00-05:00
High-throughput, high-brightness, ultrashort 90 keV electrons at 40 kHz
arXiv:2601.02597v1 Announce Type: new Abstract: Radiofrequency-compressed keV electron sources for ultrafast electron diffraction (UED) face competing demands: short pulses require low charge, yet weak scatterers demand high flux; high repetition rates enable signal averaging, yet most systems operate $\lesssim$1 kHz w...
https://arxiv.org/abs/2601.02597
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ad5fae6c359d24b9bab744215377d2858b3d3cbeb60c2a93d8fcd754914e1093
2026-01-07T00:00:00-05:00
Holotomography in 2025: From Morphometric Imaging to AI-Driven Multimodal Phenotyping
arXiv:2601.02611v1 Announce Type: new Abstract: By 2025, holotomography (HT) has matured from a niche optical modality into a versatile platform for quantitative, label-free imaging in biomedicine. By reconstructing the three-dimensional refractive-index (RI) distribution of cells and tissues, HT enables high-resolutio...
https://arxiv.org/abs/2601.02611
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394b1374464d99a8bb1314a1f97919775663c8d95ac3a5dd6f25f928fb95c184
2026-01-07T00:00:00-05:00
GKFieldFlow: A Spatio-Temporal Neural Surrogate for Nonlinear Gyrokinetic Turbulence
arXiv:2601.02614v1 Announce Type: new Abstract: We present GKFieldFlow, a novel three-dimensional autoregressive deep learning surrogate model for nonlinear gyrokinetic turbulence. Based on the architecture FieldFlow-Net, this model combines a multi-resolution 3D U-Net encoder-decoder that operates on evolving plasma p...
https://arxiv.org/abs/2601.02614
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d231e537add95e3326cce89217263cfb9b0bba4aacfd0e61a8bbe10863e91745
2026-01-07T00:00:00-05:00
Coupled Microelectromechanical Drum Resonators for Reservoir Computing via Sideband Pumped Phonon-Cavity Dynamics
arXiv:2601.02617v1 Announce Type: new Abstract: Reservoir computing is a bio-inspired machine learning paradigm that exploits the intrinsic dynamics of nonlinear systems with fading memory for efficient temporal information processing. Microelectromechanical resonators offer a promising platform for reservoir computing...
https://arxiv.org/abs/2601.02617
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799907546855faf08029cbbb6965a715e87a05bd4a580b3710805b923eb05b85
2026-01-07T00:00:00-05:00
Acoustic Analogy of Quantum Baldin Sum Rule for Optimal Causal Scattering
arXiv:2601.02630v1 Announce Type: new Abstract: The mass law is a cornerstone in predicting sound transmission loss, yet it neglects the constraints of causal dispersion. Current causality-based theories, such as the Rozanov limit, are applicable only to one-port reflective absorbers. Here, we derive a universal sum ru...
https://arxiv.org/abs/2601.02630
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40715f0a879b93a0c77488b20502e3f14517b8e31145161f1d6cbe9527ee1063
2026-01-07T00:00:00-05:00
Freestanding Resist Metasurface Supporting Higher-Order BICs for Efficient Field Enhancement in TMD Monolayers
arXiv:2601.02635v1 Announce Type: new Abstract: Enhancing light-matter coupling in two-dimensional (2D) semiconductors such as transition metal dichalcogenide monolayers remains a central challenge in nanophotonics due to their atomic thickness, which limits their interaction volume with light. Here, we demonstrate tha...
https://arxiv.org/abs/2601.02635
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987a5df9b62d00d90b3d3b9c7f59b56a5842f478fe18b6f6f7b6630f800e81eb
2026-01-07T00:00:00-05:00
Musical Molecules: Sonifying the IR Spectra and Modeling Intramolecular Vibrational Energy Redistribution of Small Molecules
arXiv:2601.02652v1 Announce Type: new Abstract: This work explores how small molecules sound. Infrared (IR) spectra of HCl, H2O, NH3, and acetone are mapped into the audible range using a simple anharmonic oscillator model and NIST vibrational data. Comparing harmonic and anharmonic sonifications reveals systematic pit...
https://arxiv.org/abs/2601.02652
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8ca161357472f39b7794f8625427afd4d0678fc5c2680b11c5e39329025be406
2026-01-07T00:00:00-05:00
Modulating anomalous thermal quenching behavior of stimulation luminescence via high-orbit electronic satellite-stabilized Trap state in germanate-based phosphors for 5D optical data storage
arXiv:2601.02667v1 Announce Type: new Abstract: Persistent luminescence (PersL) materials, widely used in emergency lighting and information storage, are primarily employed at room temperature. However, their luminescent performance deteriorates sharply at high temperatures. Herein, a serials of Mg2GeO4:Ti4+,Ln3+ (Ln =...
https://arxiv.org/abs/2601.02667
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6a7b8aa75534a2568f7bf3e6948c1d604b0d9cdd1e09954afac8a857c58168be
2026-01-07T00:00:00-05:00
Optical Quasi-symmetry Groups for Meron Lattices
arXiv:2601.02675v1 Announce Type: new Abstract: We introduce quasi-symmetry groups in optics emerging from the commutation between mirror operation and the spin-orbit interaction (SOI) of light. Contrary to the principle of symmetry inheritance in free-space optics, where the symmetry of any structured field is strictl...
https://arxiv.org/abs/2601.02675
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d213fcbedb5ca08c769c7347fb33b5ccf69fc4fd26593b6c82079a3955edc94e
2026-01-07T00:00:00-05:00
RONS Generation in Plasma-Activated Saline for Wound Healing
arXiv:2601.02684v1 Announce Type: new Abstract: This study explores the physicochemical modifications and antimicrobial potential of plasma activated saline generated by exposing Sodium Chloride and Ringer solution to atmospheric pressure dielectric barrier discharge plasma. Plasma activation produced reactive oxygen a...
https://arxiv.org/abs/2601.02684
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3e3bb9e24d245ae1a0a24eac4120a6bf5adee8b9a824e34cb16fd13ff317c5e2
2026-01-07T00:00:00-05:00
Data-Driven Flow Initialization Framework for CFD Acceleration of Underwater Vehicle in Vertical-Plane Oblique Motion
arXiv:2601.02693v1 Announce Type: new Abstract: Accurate prediction of flow fields around underwater vehicles undergoing vertical-plane oblique motions is critical for hydrodynamic analysis, but it often requires computationally expensive CFD simulations. This study proposes a Data-Driven Flow Initialization (DDFI) fra...
https://arxiv.org/abs/2601.02693
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04465c8abcd622c6d5acdf1002eb49a282ae00b173e5ef09ae97a31d1cc3cfcb
2026-01-07T00:00:00-05:00
Uncooled low-noise thin-film optomechanical resonator for thermal sensing on lithium niobate
arXiv:2601.02715v1 Announce Type: new Abstract: Optomechanical transduction harnesses the interaction between optical fields and mechanical motion to achieve sensitive measurement of weak mechanical quantities with inherently low noise. Lithium niobate combines low optical loss, strong piezoelectricity, high intrinsic ...
https://arxiv.org/abs/2601.02715
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7a005b2b87773fd00ef2e09b07a222d0ae6765a5c18c1445a97b0c3affea969c
2026-01-07T00:00:00-05:00
Photonic Waveguide Circuit Integrated with Carbon Nanotube Single-Photon Source Operating at Room Temperature
arXiv:2601.02758v1 Announce Type: new Abstract: Photonic integrated circuits require robust room-temperature single-photon sources to enable scalable quantum technologies. Single-walled carbon nanotubes (CNTs), with their unique excitonic properties and chemical tunability, are attractive candidates, but their integrat...
https://arxiv.org/abs/2601.02758
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ecbaec584aa1cd87064bbe3e152e696d75cfaa2dcda0978fe739903c0f0f5f39
2026-01-07T00:00:00-05:00
Thermally adaptive textile inspired by morpho butterfly for all-season comfort and visible aesthetics
arXiv:2601.02774v1 Announce Type: new Abstract: A longstanding challenge in personal thermal management has been transitioning from static, appearance-limited passive radiative cooling (PDRC) materials to systems that are both dynamically adaptive and visually versatile. The central hurdle remains the inherent compromi...
https://arxiv.org/abs/2601.02774
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b04481f3b8bcb4327601dcd002b6e6399832fdc54d1067ed4ea863a6b02a9545
2026-01-07T00:00:00-05:00
Development of CMOS LGAD sensors for the ALICE~3 Time of Flight detector
arXiv:2601.02823v1 Announce Type: new Abstract: The next-generation ALICE 3 experiment at the High-Luminosity LHC (HL-LHC) requires detector technologies that combine fine spatial resolution, fast timing, and an extremely low material budget. This paper presents the design, characterization, and beam-test performance o...
https://arxiv.org/abs/2601.02823
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9399127a980753282a4d81420f0b6a6f5ddeac1a73d95d31221ccd3b7cc09c9c
2026-01-07T00:00:00-05:00
High-Q AlN microresonators for nonlinear near-infrared and near-visible photonics
arXiv:2601.02842v1 Announce Type: new Abstract: High Q-factors of microresonators are crucial for nonlinear integrated photonics, as many nonlinear dynamics have quadratic or even cubic dependence on Q-factors. The unique material properties make AlN microresonators invaluable for microcomb generation, Raman lasing and...
https://arxiv.org/abs/2601.02842
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034a77ac51b8676e5b4c12b2a349427bebc3ff5c4ab37fee1b209036852abd54
2026-01-07T00:00:00-05:00
A Vehicle-portable Ultra-stable Laser for Operating on Highways
arXiv:2601.02843v1 Announce Type: new Abstract: Portable ultra-stable lasers are essential for high-precision measurements. This study presents a 1550 nm vehicle-portable ultra-stable laser designed for continuous real-time operation on highways. We implement several measures to mitigate environmental impacts, includin...
https://arxiv.org/abs/2601.02843
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5e90ef42966ba61732585b11aa8835dde716b8d9a5495e6ae3f827f45e22dc84
2026-01-07T00:00:00-05:00
ML enhanced measurement of the electrostatic charge distribution of powder conveyed through a duct
arXiv:2601.02852v1 Announce Type: new Abstract: The electrostatic charge acquired by powders during transport through ducts can cause devastating dust explosions. Our recently developed laser-optical measurement technique can resolve the powder charge along a one-dimensional (1D) path. However, the charge across the du...
https://arxiv.org/abs/2601.02852
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a0452c2668bc7682c5c65d8739133ba5dca8526daf4138a0221f59a96a584344
2026-01-07T00:00:00-05:00
Finite Element Simulation of NMC Particle Fracture during Calendering: a Route to Optimize Electrode Microstructures
arXiv:2601.02879v1 Announce Type: new Abstract: Beyond active material intrinsic properties, the electrode manufacturing process is a crucial step to reach high energy density and long-life of Li-ion batteries. In particular, very high pressures are applied to the electrode during the calendering step, that directly in...
https://arxiv.org/abs/2601.02879
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651b8a8169a17985620fd296115aa83aa8175f4c8ca3e2f442244d514de9a14a
2026-01-07T00:00:00-05:00
What happens if you put your head in the Geneva water jet? An inquiry-based physics activity exploring fluid dynamics
arXiv:2601.02934v1 Announce Type: new Abstract: We describe a physics education activity for third-year Bachelor students, inspired by a humorous question about the Geneva water jet. The exercise engages students in key scientific practices: reformulating everyday questions in scientific terms, constructing simplified ...
https://arxiv.org/abs/2601.02934
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38285007bdb26febb8e0e2c5fbb35677f24bb365b03b63eb883d3d7277edfd6a
2026-01-07T00:00:00-05:00
A First-Principles Closure for Nonlocal Magnetized Transport
arXiv:2601.02937v1 Announce Type: new Abstract: A reduced kinetic method (RKM) for describing nonlocal transport in magnetized plasmas is derived from first principles and considered in a 1D3V geometry. Unlike standard nonlocal closures, this RKM uses the Fokker-Planck collision operator, therefore local transport resu...
https://arxiv.org/abs/2601.02937
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c05a8456feffada8bcf33aab3f6a8f9745b7402ae8cc1fc1afbec44201524ca8
2026-01-07T00:00:00-05:00
What Is the Minimum Number of Parameters Required to Represent Solutions of the Grad-Shafranov Equation?
arXiv:2601.02942v1 Announce Type: new Abstract: Fast and accurate solutions of the Grad--Shafranov (GS) equation are essential for equilibrium analysis, integrated modeling, and surrogate model construction in magnetic confinement fusion. In this work, we address a fundamental question: what is the minimum number of fr...
https://arxiv.org/abs/2601.02942
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3f1e75d04cf872bf5ac3251877d9dc4ffd0988032d6855ac0be2338e1c7a7e2f
2026-01-07T00:00:00-05:00
Defect Landscape Engineering Suppresses Helium Damage in Ceramics
arXiv:2601.02946v1 Announce Type: new Abstract: Helium accumulation in structural ceramics used in nuclear, fusion, and aerospace systems causes swelling, cracking, and early failure, yet controlling this damage has remained elusive. Here, we introduce defect landscape engineering, the deliberate creation of vacancy cl...
https://arxiv.org/abs/2601.02946
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08f2446ec45209072a44d668e1451f957d6e69ec417efe1f66d533c4174521b3
2026-01-07T00:00:00-05:00
Charged excitations made neutral: N-centered ensemble density functional theory of Fukui functions
arXiv:2601.02985v1 Announce Type: new Abstract: We introduce an in-principle exact working equation to compute Fukui functions within $N$-centered ensemble DFT. It avoids the kernel derivative discontinuity problem of DFT for fractional number of electrons, whose contribution is recovered through weight-derivatives of ...
https://arxiv.org/abs/2601.02985
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eb81faae5652b87906ff3cdd5fe6b7bc200ae9a5d39415016fe0e9ba49a11d02
2026-01-07T00:00:00-05:00
Effective Hamiltonian based DNP Sequence Optimization
arXiv:2601.03004v1 Announce Type: new Abstract: Dynamic nuclear polarization (DNP) enhances the intensity of NMR signals by transferring polarization from electron spins to nuclei via microwave irradiation. Pulsed DNP methods offer more control on the spin dynamics than conventional continuous-wave approaches. Here, we...
https://arxiv.org/abs/2601.03004
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3062795d2a213f9b68da1339b9a4bf8ef8a229b2f5bc0da409e3a5bb27716593
2026-01-07T00:00:00-05:00
Statistical State Dynamics Based Study of the Turbulent Ekman Layer
arXiv:2601.03033v1 Announce Type: new Abstract: Streamwise roll and streak structures (RSS) are prominent features observed in both atmospheric and oceanic planetary boundary layers (PBL) as well as in laboratory scale Wall bounded shear flows. Despite their structural similarity across these systems, the mechanisms re...
https://arxiv.org/abs/2601.03033
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fb7a3282b495f00d283c71c4f5633163f95f539d50ae29e1edbf937b28488244
2026-01-07T00:00:00-05:00
Harnessing Evanescent Wave Interaction for Enhanced Optical NO2 Detection with Carbon Nanotube-Coated Side-Polished Fiber
arXiv:2601.03071v1 Announce Type: new Abstract: Evanescent-wave gas sensors employing side-polished optical fibers (SPFs) functionalized with nanomaterial coatings represent a promising platform for compact, sensitive detection. While single-walled carbon nanotube (SWCNT) films are recognized for their gas adsorption c...
https://arxiv.org/abs/2601.03071
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1e4bf9602b6dd443aef2823d97ecf9825cfa5f1286d4ada4150e94e5df643a2f
2026-01-07T00:00:00-05:00
Unifying Viscocapillary and Inertial Regimes in Selective Withdrawal
arXiv:2601.03074v1 Announce Type: new Abstract: Selective withdrawal extracts only a single phase from a stratified multi-layer system. Entrainment occurs when a critical condition draws up the static layer which is not being withdrawn. Existing studies provide robust scalings within distinct limiting regimes. These in...
https://arxiv.org/abs/2601.03074
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a8362bf9868572a22d6c9ae34888c5573baff2630b14ff7ede1b262b0f5c2d77
2026-01-07T00:00:00-05:00
Collective light-matter interaction in plasmonic waveguide quantum electrodynamics
arXiv:2601.03142v1 Announce Type: new Abstract: Rabi oscillations characterize light-matter hybridization in the waveguide quantum electrodynamics~(WQED) framework, with their associated decay rates reflecting excitation damping, yet their behavior remains unresolved when collective emitters are coupled to a collective...
https://arxiv.org/abs/2601.03142
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c14a3f2c58842b43c69c9a7501b522843267b80c140ce3ab5dcc8d56a1c3c6d2
2026-01-07T00:00:00-05:00
Fast and slow surfactants in turbulent bubble breakup
arXiv:2601.03157v1 Announce Type: new Abstract: When a large air cavity breaks in a turbulent flow, it goes through very large deformations and cascading events of new interface formation, including elongated filaments and bubbles over a wide range of scales, with their rate of formation controlled by turbulence and ca...
https://arxiv.org/abs/2601.03157
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c3c63e3948b12443e41cb4c60fd9f8e6e0965fb0e1fdd7fb868fdac4c4795ae4
2026-01-07T00:00:00-05:00
Optimization of Cryogenic Detector Test Station by Rejecting Electromagnetic Interference
arXiv:2601.03158v1 Announce Type: new Abstract: We report on the solution optimized for characterizing SNSPDs by rejecting electromagnetic interference from various sources. The proposed readout method enhances measurement stability and enables reliable device characterization at low bias currents, where the signal-to-...
https://arxiv.org/abs/2601.03158
Academic Papers
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3ae930e4bcffe7b2a6e565c21827e9425a8b9a8b42be07661247608df6c79702
2026-01-07T00:00:00-05:00
Feasibility study of the positronium lifetime imaging with the Biograph Vision Quadra and J-PET tomographs
arXiv:2601.03172v1 Announce Type: new Abstract: Background: After its first ex-vivo and in-vivo demonstration, Positronium Lifetime Imaging (PLI) has received considerable interest as a potential new diagnostic biomarker. High sensitivity Positron Emission Tomography (PET) systems are needed for PLI since it requires s...
https://arxiv.org/abs/2601.03172
Academic Papers
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5322a5d22d9bbfb0140b0316c39c0ba287a2b173799c0645a6764fdb0c8e42d2
2026-01-07T00:00:00-05:00
Modelling and Simulation of the Propagation of P-SV Seismic Waves from Earthquakes: Application to Deep Earthquakes in Acre, Brazil
arXiv:2601.03177v1 Announce Type: new Abstract: Brazil is located in the central-eastern portion of the South American Plate, meaning that the country mostly experiences low-intensity seismic activity within its territory. However, some geological faults in this region have generated intense earthquakes. In this contex...
https://arxiv.org/abs/2601.03177
Academic Papers
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4e1965dc706449a5172527313f8a56dcc5f0be9dc676275958d29fd1739d351c
2026-01-07T00:00:00-05:00
Open-Source Coil Matching Toolbox for Magnetic Stimulation and Other Electromagnetics (COMATOSE)
arXiv:2601.03224v1 Announce Type: new Abstract: The coil in transcranial magnetic stimulation (TMS) determines the spatial shape of the electromagnetic field in the head, which structures are concurrently activated, and how focal stimulation is. Most of the readily available coils have been designed intuitively instead...
https://arxiv.org/abs/2601.03224
Academic Papers
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9add334f51853b92c85909d645fe8b0b59aa2276102fc19539d23e7051a9d1ad
2026-01-07T00:00:00-05:00
Nutritional and growth enhancement of alfalfa sprouts through cold plasma and UV seed treatments
arXiv:2601.03255v1 Announce Type: new Abstract: Employing eco-friendly techniques like cold plasma (CP) and ultraviolet (UV) radiation provides innovative approaches to enhance the sprout quality and productivity of alfalfa. This study explores the effects of CP and UV radiation on the germination, growth, and phytoche...
https://arxiv.org/abs/2601.03255
Academic Papers
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4837b2520e20e25cbbeb500aea4426f50e87fc18d94a3726e05bbd6e2e2493e8
2026-01-07T00:00:00-05:00
Feedback Driven Convergence, Competition, and Entanglement in Classical Stochastic Processes
arXiv:2601.02388v1 Announce Type: cross Abstract: We present a dynamical theory of statistical convergence in which the law of large numbers arises from outcome-outcome feedback rather than assumed independence. Defining the convergence field and its derivative, we show that empirical frequencies evolve through couplin...
https://arxiv.org/abs/2601.02388
Academic Papers
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