239 citations · 633 across the 17 of their papers we have counts for
18 papers
Power-law growth of shift current with superlattice period in flat Chern bands
Nianlong Zou, Cheng Xu, Ning Mao +1
Quantum geometry governs a wide array of physical observables in topological quantum materials. In its ideal limit, quantum geometry yields exact bounds and analytical results for…
Kohn--Luttinger Superconductivity in Flat Chern Bands
Nianlong Zou, Cheng Xu, Yafis Barlas +1
Recent observations of superconductivity near correlated topological phases in flat bands suggest a facile link between flat-band geometry and electron pairing. In this work, we re…
Observation of the Magnus Nonlinear Hall effect from Chiral Weyl Monopoles
Heda Zhang, Nikolai Peshcherenko, Ning Mao +4
The nonlinear Hall effect (NLHE) connects crystalline symmetry to quantum geometry, offering a probe of band topology beyond linear transport. While most studies have focused on th…
Sign-resolved nanoscale readout and control of hidden antiferromagnetic spin order
A. Schmid, D. Siebenkotten, D. Dai +16
Antiferromagnetic memories promise ultrafast, stray-field-free information storage. Yet perfect magnetic compensation conceals the information carrier itself: the sign of the Néel…
Chiral superconductivity from spin polarized Chern band in twisted MoTe
Cheng Xu, Nianlong Zou, Nikolai Peshcherenko +4
Superconductivity has been observed in twisted MoTe2 within the anomalous Hall metal parent state. Key signatures-including a fully spin/valley polarized normal state, anomalous Ha…
Correlated topological flat bands in rhombohedral graphite
Hongyun Zhang, Qian Li, Michael G. Scheer +22
Flat bands and nontrivial topological physics are two important topics of condensed matter physics. With a unique stacking configuration analogous to the Su-Schrieffer-Heeger (SSH)…
Deep Band Crossings Enhanced Nonlinear Optical Effects
Nianlong Zou, He Li, Meng Ye +8
Nonlinear optical (NLO) effects in materials with band crossings have attracted significant research interests due to the divergent band geometric quantities around these crossings…
Improving density matrix electronic structure method by deep learning
Zechen Tang, Nianlong Zou, He Li +10
The combination of deep learning and ab initio materials calculations is emerging as a trending frontier of materials science research, with deep-learning density functional theory…
Universal materials model of deep-learning density functional theory Hamiltonian
Yuxiang Wang, Yang Li, Zechen Tang +14
Realizing large materials models has emerged as a critical endeavor for materials research in the new era of artificial intelligence, but how to achieve this fantastic and challeng…
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
Zun Wang, Chang Liu, Nianlong Zou +5
In this study, we introduce a unified neural network architecture, the Deep Equilibrium Density Functional Theory Hamiltonian (DEQH) model, which incorporates Deep Equilibrium Mode…
Deep-learning density functional perturbation theory
He Li, Zechen Tang, Jingheng Fu +5
Calculating perturbation response properties of materials from first principles provides a vital link between theory and experiment, but is bottlenecked by the high computational c…
Deep-learning electronic-structure calculation of magnetic superstructures
He Li, Zechen Tang, Xiaoxun Gong +3
Ab initio study of magnetic superstructures (e.g., magnetic skyrmion) is indispensable to the research of novel materials but bottlenecked by its formidable computational cost. For…
General framework for E(3)-equivariant neural network representation of density functional theory Hamiltonian
Xiaoxun Gong, He Li, Nianlong Zou +3
Combination of deep learning and ab initio calculation has shown great promise in revolutionizing future scientific research, but how to design neural network models incorporating…
Basic formulation and first-principles implementation of nonlinear magneto-optical effects
Haowei Chen, Meng Ye, Nianlong Zou +3
First-principles calculation of nonlinear magneto-optical effects has become an indispensable tool to reveal the geometric and topological nature of electronic states and to unders…
Deep-Learning Density Functional Theory Hamiltonian for Efficient ab initio Electronic-Structure Calculation
He Li, Zun Wang, Nianlong Zou +5
The marriage of density functional theory (DFT) and deep learning methods has the potential to revolutionize modern computational materials science. Here we develop a deep neural n…
Manipulate the Electronic State of Mott Iridate Superlattice through Protonation Induced Electron-Filling
Meng Wang, Lin Hao, Fang Yin +12
Spin-orbit-coupled Mott iridates show great similarity with parent compounds of superconducting cuprates, attracting extensive research interests especially for their electron-dope…
Ubiquitous topological states of phonons in solids: Silicon as a model material
Yizhou Liu, Nianlong Zou, Sibo Zhao +3
Research on topological physics of phonons has attracted enormous interest but demands appropriate model materials. Our {\it ab initio} calculations identify silicon as an ideal ca…
Dimensional Crossover and Topological Phase Transition in Dirac Semimetal Na3Bi Films
Huinan Xia, Yang Li, Min Cai +7
Three-dimensional (3D) topological Dirac semimetal, when thinned down to 2D few layers, is expected to possess gapped Dirac nodes via quantum confinement effect and concomitantly d…