Kyle Bystrom

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 4

Top Topics

Body Composition

Density Functional Theory

Machine Learning

Top Venues

The journal of physical chemistry letters

Journal of chemical theory and computation

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

Publications

Zachary A H Goodwin, Malia B Wenny, Julia H Yang, Andrea Cepellotti, Jingxuan Ding, Kyle Bystrom, Blake R Duschatko, Anders Johansson, Lixin Sun, Simon Batzner, Albert Musaelian, Jarad A Mason, Boris Kozinsky, Nicola Molinari
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials. The journal of physical chemistry letters (2024)
Kyle Bystrom, Stefano Falletta, Boris Kozinsky
Training Machine-Learned Density Functionals on Band Gaps. Journal of chemical theory and computation (2024)
Zachary A H Goodwin, Malia B Wenny, Julia H Yang, Andrea Cepellotti, Jingxuan Ding, Kyle Bystrom, Blake R Duschatko, Anders Johansson, Lixin Sun, Simon Batzner, Albert Musaelian, Jarad A Mason, Boris Kozinsky, Nicola Molinari
Transferability and Accuracy of Ionic Liquid Simulations with Equivariant Machine Learning Interatomic Potentials. The journal of physical chemistry letters 15 (30) (2024)
Kyle Bystrom, Boris Kozinsky
CIDER: An Expressive, Nonlocal Feature Set for Machine Learning Density Functionals with Exact Constraints. Journal of chemical theory and computation 18 (4) (2022)