Joshua A. Rackers

According to our database, Joshua A. Rackers authored at least 4 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

On the design space between molecular mechanics and machine learning force fields.

Yuanqing Wang, Kenichiro Takaba, Michael S. Chen, Marcus Wieder, Yuzhi Xu, Tong Zhu, John Z. H. Zhang, Arnav Nagle, Kuang Yu, Xinyan Wang, Daniel J. Cole, Joshua A. Rackers, Kyunghyun Cho, Joe G. Greener, Peter K. Eastman, Stefano Martiniani, Mark E. Tuckerman

CoRR, 2024

2023

A recipe for cracking the quantum scaling limit with machine learned electron densities.

Joshua A. Rackers, Lucas Tecot, Mario Geiger, Tess E. Smidt

Mach. Learn. Sci. Technol., March, 2023

2022

Hierarchical Learning in Euclidean Neural Networks.

Joshua A. Rackers, Pranav Rao

CoRR, 2022

2016

Scalable improvement of SPME multipolar electrostatics in anisotropic polarizable molecular mechanics using a general short-range penetration correction up to quadrupoles.

Christophe Narth, Louis Lagardère, Étienne Polack, Nohad Gresh, Qiantao Wang, David R. Bell, Joshua A. Rackers, Jay W. Ponder, Pengyu Y. Ren, Jean-Philip Piquemal

J. Comput. Chem., 2016