2 citations · 2 across the 3 of their papers we have counts for
3 papers
cond-mat.mtrl-sci2026
Materials design based on a material-motif network and heterogeneous graphs
Anoj Aryal, Weiyi Gong, Huta Banjade +1
Machine learning models for functional materials design require precise and informative representations of material systems. Common representations encode atomic composition and bo…
cond-mat.mes-hall2025
Ideal Topological Flat Bands in Two-dimensional Moiré Heterostructures with Type-II Band Alignment
Yunzhe Liu, Anoj Aryal, Kaijie Yang +6
Topological flat bands play an essential role in inducing exotic interacting physics, ranging from fractional Chern insulators to superconductivity, in moiré materials. In this wor…
physics.chem-ph2022★ 2 cited
Incorporation of density scaling constraint in density functional design via contrastive representation learning
Weiyi Gong, Tao Sun, Hexin Bai +7
In a data-driven paradigm, machine learning (ML) is the central component for developing accurate and universal exchange-correlation (XC) functionals in density functional theory (…