18 citations · 46 across the 11 of their papers we have counts for
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cond-mat.str-el2026
Large Electron Model: A Universal Ground State Predictor
Timothy Zaklama, Max Geier, Liang Fu
We introduce Large Electron Model, a single neural network model that produces variational wavefunctions of interacting electrons over the entire Hamiltonian parameter manifold. Ou…
cond-mat.str-el2026
Predicting magnetism with first-principles AI
Max Geier, Liang Fu
Computational discovery of magnetic materials remains challenging because magnetism arises from the competition between kinetic energy and Coulomb interaction that is often beyond…
cond-mat.str-el2025★ 14 cited
Is attention all you need to solve the correlated electron problem?
Max Geier, Khachatur Nazaryan, Timothy Zaklama +1
The attention mechanism has transformed artificial intelligence research by its ability to learn relations between objects. In this work, we explore how a many-body wavefunction an…