6 papers
Relaxation-driven flat bands and topology in moiré transition metal dichalcogenide heterobilayers
Mitchell Luskin, Max Geier, Liang Fu +1
Moiré transition metal dichalcogenide (TMD) heterobilayers are commonly modeled by a continuum theory that yields topologically trivial bands, in contrast to their homobilayer coun…
Attention-Based Foundation Model for Quantum States
Timothy Zaklama, Daniele Guerci, Liang Fu
We present an attention-based foundation model architecture for learning and predicting quantum states across Hamiltonian parameters, system sizes, and physical systems. Using only…
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…
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…
Solving fractional electron states in twisted MoTe with deep neural network
Di Luo, Timothy Zaklama, Liang Fu
The emergence of moiré materials, such as twisted transition-metal dichalcogenides (TMDs), has created a fertile ground for discovering novel quantum phases of matter. However, so…
Structure factor and topological bound of twisted bilayer semiconductors at fractional fillings
Timothy Zaklama, Di Luo, Liang Fu
The structure factor is a useful observable for probing charge density correlations in real materials, and its long-wavelength behavior encapsulated by ``quantum weight'' has recen…