activity
20222025
most citedCapturing dynamical correlations using implicit neural representations

11 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2025

Efficient Nudged Elastic Band Method using Neural Network Bayesian Algorithm Execution

Pranav Kakhandiki, Sathya Chitturi, Daniel Ratner +1

The discovery of a minimum energy pathway (MEP) between metastable states is crucial for scientific tasks including catalyst and biomolecular design. However, the standard nudged e…

cond-mat.mtrl-sci2023★ 2 cited

Targeted materials discovery using Bayesian algorithm execution

Sathya Chitturi, Akash Ramdas, Yue Wu +8

Rapid discovery and synthesis of new materials requires intelligent data acquisition strategies to navigate large design spaces. A popular strategy is Bayesian optimization, which…

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…

physics.data-an2022★ 3 cited

A machine learning photon detection algorithm for coherent X-ray ultrafast fluctuation analysis

Sathya R. Chitturi, Nicolas G. Burdet, Youssef Nashed +8

X-ray free electron laser (XFEL) experiments have brought unique capabilities and opened new directions in research, such as creating new states of matter or directly measuring ato…