16 citations · 84 across the 22 of their papers we have counts for
6 papers · 1 filter
DPmoire: A tool for constructing accurate machine learning force fields in moiré systems
Jiaxuan Liu, Zhong Fang, Hongming Weng +1
In moiré systems, the impact of lattice relaxation on electronic band structures is significant, yet the computational demands of first-principles relaxation are prohibitively high…
Universal Moiré-Model-Building Method without Fitting: Application to Twisted MoTe and WSe
Yan Zhang, Hanqi Pi, Jiaxuan Liu +8
We develop a comprehensive method to construct analytical continuum models for moiré systems directly from first-principle calculations without any parameter fitting. The core idea…
Enhancing Large Language Models with Domain-Specific Knowledge: The Case in Topological Materials
HuangChao Xu, Baohua Zhang, Zhong Jin +3
Large language models (LLMs), such as ChatGPT, have demonstrated impressive performance in the text generation task, showing the ability to understand and respond to complex instru…
Topological Superconductivity in Monolayer T-MoTe
Xin-Zhi Li, Zhen-Bo Qi, Quansheng Wu +1
Topological superconductivity has attracted significant attention due to its potential applications in quantum computation, but its experimental realization remains challenging. Re…
Observation of dichotomic field-tunable electronic structure in twisted monolayer-bilayer graphene
Hongyun Zhang, Qian Li, Youngju Park +18
Twisted bilayer graphene (tBLG) provides a fascinating platform for engineering flat bands and inducing correlated phenomena. By designing the stacking architecture of graphene lay…
Complex field-, temperature-, and angle-dependent Hall effects from intrinsic Fermi surface revealed by first-principles calculations
ShengNan Zhang, Zhihao Liu, Hanqi Pi +3
The Hall effect, ever intriguing since its discovery, has spurred the exploration of its phenomena, intensified by advances in topology and novel materials. Differentiating the ord…