8 citations · 19 across the 9 of their papers we have counts for
5 papers · 1 filter
Physics-Guided Dual Implicit Neural Representations for Source Separation
Yuan Ni, Zhantao Chen, Alexander N. Petsch +7
Significant challenges exist in efficient data analysis of most advanced experimental and observational techniques because the collected signals often include unwanted contribution…
Accurate Prediction of Tensorial Spectra Using Equivariant Graph Neural Network
Ting-Wei Hsu, Zhenyao Fang, Arun Bansil +1
Optical spectroscopies provide a powerful tool for harnessing light-matter interactions for unraveling complex electronic features such as the flat bands and nontrivial topologies…
Magnetism-Enhanced Strong Electron-Phonon Coupling in Infinite-Layer Nickelate
Ruiqi Zhang, Yanyong Wang, Manuel Engel +12
Intriguing analogies between the nickelates and the cuprates provide a promising avenue for unraveling the microscopic mechanisms underlying high- superconductivity. While ele…
Tunable superconductivity coexisting with the anomalous Hall effect in 1T'-WS2
Md Shafayat Hossain, Qi Zhang, David Graf +25
Transition metal dichalcogenides are a family of quasi-two-dimensional materials that display a high technological potential due to their wide range of electronic ground states, e.…
Giant Kohn anomaly and chiral phonons in the charge density wave phase of 1H-NbSe
Susy Exists, Sougata Mardanya, Robert Markiewicz +6
Despite extensive investigations, many aspects of charge density waves (CDWs) remain elusive, especially the relative roles of electron-phonon coupling and Fermi surface nesting as…