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---
title: README
emoji: πŸ¦€
colorFrom: green
colorTo: indigo
sdk: gradio
pinned: false
license: other
---
# πŸŒ‹ MIGRATE Project β€” Multidisciplinary and InteGRated Approach for geoThermal Exploration
**MIGRATE** (*Multidisciplinary and InteGRated Approach for geoThermal Exploration*) is a scientific project that bridges **seismology** and **machine learning** to develop a new generation of automated, reproducible and high-resolution exploration tools for the Earth's upper crust.
## 🎯 Motivation
Reducing the acceleration of climate change is one of the great challenges of our time. As part of the global transition toward sustainable energy, **geothermal energy** offers a renewable and stable alternative to fossil fuels.
However, its development is hindered by a lack of reliable subsurface knowledge, which creates high geological and economic risks. **MIGRATE** aims to address this gap by creating innovative methods that **reduce uncertainty in passive seismic exploration**, using dense nodal networks and state-of-the-art data-driven models.
## πŸ”¬ Scientific Approach
MIGRATE integrates three complementary disciplines:
- **Seismology** β€” ambient noise surface wave tomography, dispersion curve analysis
- **Machine Learning** β€” generative modeling, contrastive learning, neural surrogate inversion, and digital twins
These domains are tightly coupled to:
- Automate the inversion of surface wave dispersion curves
- Learn expressive representations of crustal velocity models
## 🧠 AI for Earth Models
We develop machine learning methods to capture the physical structure of the subsurface, with:
- πŸŒͺ **Normalizing Flows** for probabilistic inversion and generative modeling
- 🎯 **Contrastive encoders** to structure seismic representations
- 🧩 **Latent representations** to compress complex velocity models
- πŸ” **Self-supervised learning** for unsupervised geophysical understanding
These tools are released as **open-source** datasets and pretrained models on Hugging Face.
## 🧾 Citation
If you use this project, please cite:
```bibtex
@misc{migrate2025,
title={MIGRATE: A Multidisciplinary and Integrated Approach for Geothermal Exploration},
author={SSTE and DMML-GE},
year={2025},
howpublished={\url{https://huggingface.co/MIGRATE}}
}