Large Electron Model: A Universal Ground State Predictor
- URL: http://arxiv.org/abs/2603.02346v1
- Date: Mon, 02 Mar 2026 19:29:12 GMT
- Title: Large Electron Model: A Universal Ground State Predictor
- Authors: Timothy Zaklama, Max Geier, Liang Fu,
- Abstract summary: We introduce a single neural network model that produces variational wavefunctions of interacting electrons over the entire Hamiltonian parameter manifold.<n>Our results establish a foundation model method for material discovery that is grounded in the variational principle.
- Score: 0.0
- License: http://creativecommons.org/licenses/by/4.0/
- Abstract: We introduce Large Electron Model, a single neural network model that produces variational wavefunctions of interacting electrons over the entire Hamiltonian parameter manifold. Our model employs the Fermi Sets architecture, a universal representation of many-body fermionic wavefunctions, which is further conditioned on Hamiltonian parameter and particle number. On interacting electrons in a two-dimensional harmonic potential, a single trained model accurately predicts the ground state wavefunction while generalizing across unseen coupling strengths and particle-number sectors, producing both accurate real-space charge densities and ground state energies, even up to $50$ particles. Our results establish a foundation model method for material discovery that is grounded in the variational principle, while accurately treating strong electron correlation beyond the capacity of density functional theory.
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