139 citations · 288 across the 6 of their papers we have counts for
6 papers
Federated Learning on the American Science Cloud using APPFL
Zilinghan Li, Abhijit Chunduru, Harinarayan Krishnan +4
The American Science Cloud (AmSC), established under the Genesis Mission of the U.S. Department of Energy (DOE), aims to integrate DOE high-performance computing systems, experimen…
MLExchange: A web-based platform enabling exchangeable machine learning workflows for scientific studies
Zhuowen Zhao, Tanny Chavez, Elizabeth A. Holman +14
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data p…
Exact Gaussian Processes for Massive Datasets via Non-Stationary Sparsity-Discovering Kernels
Marcus M. Noack, Harinarayan Krishnan, Mark D. Risser +1
A Gaussian Process (GP) is a prominent mathematical framework for stochastic function approximation in science and engineering applications. This success is largely attributed to t…
Three dimensional localization of nanoscale battery reactions using soft X-ray tomography
Young-Sang Yu, Maryam Farmand, Chunjoong Kim +16
Battery function is determined by the efficiency and reversibility of the electrochemical phase transformations at solid electrodes. The microscopic tools available to study the ch…
Nanosurveyor: a framework for real-time data processing
Benedikt J. Daurer, Hari Krishnan, Talita Perciano +4
Scientists are drawn to synchrotrons and accelerator based light sources because of their brightness, coherence and flux. The rate of improvement in brightness and detector technol…
SHARP: a distributed, GPU-based ptychographic solver
Stefano Marchesini, Hari Krishnan, Benedikt J. Daurer +4
Ever brighter light sources, fast parallel detectors, and advances in phase retrieval methods, have made ptychography a practical and popular imaging technique. Compared to previou…