173 citations · 1.3k across the 56 of their papers we have counts for
56 papers
Nonlinear and nonreciprocal transport effects in untwinned thin films of ferromagnetic Weyl metal SrRuO
Uddipta Kar, Elisha Cho-Hao Lu, Akhilesh Kr. Singh +12
The identification of distinct charge transport features, deriving from nontrivial bulk band and surface states, has been a challenging subject in the field of topological systems.…
Topological phase transition in commensurate multi-frequency Floquet Su-Schrieffer-Heeger model
Sam Olin, Wei-Cheng Lee
Recently, Floquet systems have attracted a great deal of interest as they offer unprecedented ability to engineer topological states through the tuning of an external time-periodic…
Surface state evolution induced by magnetic order in axion insulator candidate EuIn2As2
Mingda Gong, Divyanshi Sar, Joel Friedman +4
Gapping of Dirac surface states through time reversal symmetry breaking may realize the axion insulator state in condensed matter. Despite tremendous efforts, only a few material s…
Mechanism of the Resistivity Switching Induced by the Joule Heating in Crystalline NbO
Samuel W. Olin, S. Abdel Razek, L. F. J. Piper +1
Recently the memristive electrical transport properties in NbO have attracted much attention for their promising application to the neuromorphic computation. At the center of d…
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation
Sangeeta Srivastava, Samuel Olin, Viktor Podolskiy +3
Given their ability to effectively learn non-linear mappings and perform fast inference, deep neural networks (NNs) have been proposed as a viable alternative to traditional simula…
Physics-Informed Machine Learning for Optical Modes in Composites
Abantika Ghosh, Mohannad Elhamod, Jie Bu +3
We demonstrate that embedding physics-driven constraints into machine learning process can dramatically improve accuracy and generalizability of the resulting model. Physics-inform…