Update README.md

README.md

@@ -5,6 +5,52 @@ colorFrom: green
 colorTo: indigo
 sdk: gradio
 pinned: false
+license: other
 ---
+# 🌋 MIGRATE Project — Multidisciplinary and InteGRated Approach for geoThermal Exploration
 
-Edit this `README.md` markdown file to author your organization card.
+**MIGRATE** (*Multidisciplinary and InteGRated Approach for geoThermal Exploration*) is a scientific project that bridges **geology**, **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.
+
+## 🔬 Scientific Approach
+
+MIGRATE integrates three complementary disciplines:
+
+- **Seismology** — ambient noise surface wave tomography, dispersion curve analysis
+- **Geology** — magma occurrence, tectonic structure modeling, crustal scale interpretation
+- **Machine Learning** — 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
+- Enable **fast and reproducible geothermal target identification**
+
+
+## 🧠 AI for Earth Models
+
+We develop machine learning methods to capture the physical structure of the subsurface, with:
+
+- 🌪 **Normalizing Flows** for probabilistic inversion and generative modeling
+- 🎯 **Contrastive encoders** to structure seismic representations
+- 🧩 **Latent representations** to compress complex velocity models
+- 🔁 **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}}
+}