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[ICLR 2026] Advancing Universal Deep Learning for Electronic-Structure Hamiltonian Prediction of 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.
Why it matters: Discover how NextHAM is revolutionizing material predictions with advanced deep learning techniques!
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Contents
Ali NematiWritten by Ali
