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Observation of the nonlinear Hall effect under time reversal symmetric conditions
Qiong Ma, Su-Yang Xu, Huitao Shen +18
The electrical Hall effect is the production of a transverse voltage under an out-of-plane magnetic field. Historically, studies of the Hall effect have led to major breakthroughs…
Electrically switchable Berry curvature dipole in the monolayer topological insulator WTe2
Su-Yang Xu, Qiong Ma, Huitao Shen +16
Recent experimental evidence for the quantum spin Hall (QSH) state in monolayer WTe has bridged two of the most active fields of condensed matter physics, 2D materials and topo…
In-Plane Ferroelectric Tunnel Junction
Huitao Shen, Junwei Liu, Kai Chang +1
The ferroelectric material is an important platform to realize non-volatile memories. So far, existing ferroelectric memory devices utilize out-of-plane polarization in ferroelectr…
Deep Learning Topological Invariants of Band Insulators
Ning Sun, Jinmin Yi, Pengfei Zhang +2
In this work we design and train deep neural networks to predict topological invariants for one-dimensional four-band insulators in AIII class whose topological invariant is the wi…
Visualizing Neural Network Developing Perturbation Theory
Yadong Wu, Pengfei Zhang, Huitao Shen +1
In this letter, motivated by the question that whether the empirical fitting of data by neural network can yield the same structure of physical laws, we apply the neural network to…
Quantum Oscillation from In-gap States and non-Hermitian Landau Level Problem
Huitao Shen, Liang Fu
Motivated by recent experiments on Kondo insulators, we theoretically study quantum oscillations from disorder-induced in-gap states in small-gap insulators. By solving a non-Hermi…
Self-learning Monte Carlo with Deep Neural Networks
Huitao Shen, Junwei Liu, Liang Fu
Self-learning Monte Carlo (SLMC) method is a general algorithm to speedup MC simulations. Its efficiency has been demonstrated in various systems by introducing an effective model…