1 citations · 1 across the 1 of their papers we have counts for
3 papers
cond-mat.str-el2025★ 1 cited
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, sol…
cond-mat.str-el2025
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…
cond-mat.str-el2024
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…