DavidYin94/NextHAM
[ICLR 2026] Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of Materials
Python25 stars4 forks
Topics
#ai-for-materials
What it does
NextHAM is an implementation of a deep learning model designed to predict electronic-structure Hamiltonians for materials. This research aims to enhance the efficiency and accuracy of material predictions, which is crucial for advancements in materials science.
Star history
Tracking
- Last trending
- 2026-02-21
Creator kit
Hook
Discover how NextHAM is revolutionizing material predictions with advanced deep learning techniques!
Content angles
- A tutorial on setting up the NextHAM environment and running the model.
- An exploration of the Materials-SOC-HAM dataset and its significance in materials research.
- A comparison of NextHAM's performance with traditional methods of Hamiltonian prediction.
Who should care
Researchers and developers in AI and materials science looking to leverage deep learning for material predictions.