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- license: apache-2.0
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - deep-learning
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+ - chemistry
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+ - computational-chemistry
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+ - vibrational-spectroscopy
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+ - molecular-structure
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+ ---
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+ [![](https://img.shields.io/badge/arXiv-2503.07014-c72c2c.svg)](https://arxiv.org/abs/2503.07014)
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+ [![](https://img.shields.io/badge/huggingface-ckpt--of--vib2mol-dd9029)](https://huggingface.co/xinyulu/vib2mol)
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+ [![](https://img.shields.io/badge/huggingface-vibench-dd9029)](https://huggingface.co/datasets/xinyulu/vibench)
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+ [![](https://img.shields.io/badge/figshare-10.6084/m9.figshare.28579832-2243da)](https://doi.org/10.6084/m9.figshare.28579832)
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+ # Model Overview
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+ Vib2Mol is a versatile deep learning model designed for two key tasks in computational chemistry: **spectrum-structure retrieval** and ***de novo* spectrum-to-structure generation**. It leverages a novel architecture to build a robust relationship between molecular structures and their corresponding vibrational spectra (specifically, Infrared and Raman).
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+ This model is a core component of the research presented in our paper, ***Vib2Mol: from vibrational spectra to molecular structures—a versatile deep learning model***. More details can be found in our [arXiv paper](https://arxiv.org/abs/2503.07014) and [GitHub repository](https://github.com/X1nyuLu/vib2mol).
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+ # How to Use
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+ To use this model for inference, you can load the model checkpoint and use the `infer_retrieval.sh` or `infer_generation.sh` scripts from our GitHub repository.
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+
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+ # Acknowledgements
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+ This work was supported by the National Natural Science Foundation (Grant No: 22227802, 22021001, 22474117 and 22272139) of China and the Fundamental Research Funds for the Central Universities (20720220009 and 20720250005) and Shanghai Innovation Institute.
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+
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+ # Contact
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+ Welcome to contact us or raise issues if you have any questions.
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+ Email: xinyulu@stu.xmu.edu.cn