124 citations · 225 across the 9 of their papers we have counts for
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cond-mat.mtrl-sci2023
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…
cond-mat.str-el2023★ 11 cited
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…