Ganesh Sivaraman

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 8

Top Topics

Density Functional Theory

Electron Transfer

Machine Learning

Top Venues

Nature materials

The Journal of chemical physics

The journal of physical chemistry letters

Scientific data

This page only lists publications with an associated author ORCID identifier.

Publications

Stephen K Wilke, Chris J Benmore, Oliver L G Alderman, Ganesh Sivaraman, Matthew D Ruehl, Krista L Hawthorne, Anthony Tamalonis, David A Andersson, Mark A Williamson, Richard Weber
Plutonium oxide melt structure and covalency. Nature materials (2024)
Stephen K Wilke, Chris J Benmore, Oliver L G Alderman, Ganesh Sivaraman, Matthew D Ruehl, Krista L Hawthorne, Anthony Tamalonis, David A Andersson, Mark A Williamson, Richard Weber
Plutonium oxide melt structure and covalency. Nature materials 23 (7) (2024)
Jicheng Guo, Vanessa Woo, David A Andersson, Nathaniel Hoyt, Mark Williamson, Ian T Foster, Chris J Benmore, Nicholas E Jackson, Ganesh Sivaraman
AL4GAP: Active learning workflow for generating DFT-SCAN accurate machine-learning potentials for combinatorial molten salt mixtures. The Journal of chemical physics 159 (2) (2023)
Diego Milardovich, Christoph Wilhelmer, Dominic Waldhoer, Lukas Cvitkovich, Ganesh Sivaraman, Tibor Grasser
Machine learning interatomic potential for silicon-nitride (Si3N4) by active learning. The Journal of chemical physics 158 (19) (2023)
Ganesh Sivaraman, Nicholas E Jackson
Coarse-Grained Density Functional Theory Predictions via Deep Kernel Learning. Journal of chemical theory and computation 18 (2) (2022)
Jeremy Feinstein, Ganesh Sivaraman, Kurt Picel, Brian Peters, Álvaro Vázquez-Mayagoitia, Arvind Ramanathan, Margaret MacDonell, Ian Foster, Eugene Yan
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity. Journal of chemical information and modeling 61 (12) (2021)
Ganesh Sivaraman, Jicheng Guo, Logan Ward, Nathaniel Hoyt, Mark Williamson, Ian Foster, Chris J Benmore, Nicholas E Jackson
Automated Development of Molten Salt Machine Learning Potentials: Application to LiCl. The journal of physical chemistry letters 12 (17) (2021)
Edward J Beard, Ganesh Sivaraman, Álvaro Vázquez-Mayagoitia, Venkatram Vishwanath, Jacqueline M Cole
Comparative dataset of experimental and computational attributes of UV/vis absorption spectra. Scientific data 6 (1) (2019)