activity
20222025
most citedCapturing dynamical correlations using implicit neural representations

11 citations · 15 across the 6 of their papers we have counts for

collaborators

8 papers

cs.LG2025

Multi-resolution Enhancement for Full Spectrum Neural Representations

Yuan Ni, Zhantao Chen, Shizhou Xu +5

Scientific data acquisition continues to outpace storage and analysis capabilities, making voxel-based representations increasingly intractable. Implicit neural representations (IN…

cs.CV2025

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…

cond-mat.str-el2024

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…

cond-mat.mtrl-sci2024

Skyrmions: A review on materials perspective for future electronic devices

Vineet Kumar Sharma, Alana Okullo, Jalen Garner +7

Recent years have witnessed an enormous rise in research interest in magnetic skyrmions owing to their capability to improve over contemporary spintronic devices. An overview of th…

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.mtrl-sci2023★ 3 cited

On Ultrafast X-ray Methods for Magnetism

Rajan Plumley, Sathya Chitturi, Cheng Peng +36

With the introduction of x-ray free electron laser sources around the world, new scientific approaches for visualizing matter at fundamental length and time-scales have become poss…

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…

physics.data-an2022★ 1 cited

Testing the data framework for an AI algorithm in preparation for high data rate X-ray facilities

Hongwei Chen, Sathya R. Chitturi, Rajan Plumley +22

The advent of next-generation X-ray free electron lasers will be capable of delivering X-rays at a repetition rate approaching 1 MHz continuously. This will require the development…