11 citations · 11 across the 4 of their papers we have counts for
5 papers
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…
Kitaev physics in the two-dimensional magnet NiPSe
Cheng Peng, Sougata Mardanya, Alexander N. Petsch +6
The Kitaev interaction, found in candidate materials such as -RuCl, occurs through the metal ()-ligand ()-metal () paths of the edge-sharing octahedra because the l…
3D Heisenberg universality in the Van der Waals antiferromagnet NiPS
Rajan Plumley, Sougata Mardanya, Cheng Peng +20
Van der Waals (vdW) magnetic materials are comprised of layers of atomically thin sheets, making them ideal platforms for studying magnetism at the two-dimensional (2D) limit. Thes…
Machine learning enabled experimental design and parameter estimation for ultrafast spin dynamics
Zhantao Chen, Cheng Peng, Alexander N. Petsch +5
Advanced experimental measurements are crucial for driving theoretical developments and unveiling novel phenomena in condensed matter and material physics, which often suffer from…
Capturing dynamical correlations using implicit neural representations
Sathya Chitturi, Zhurun Ji, Alexander Petsch +16
The observation and description of collective excitations in solids is a fundamental issue when seeking to understand the physics of a many-body system. Analysis of these excitatio…