Patrick G Sahrmann

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 5

Top Topics

Protein Protein

Machine Learning

Top Venues

The journal of physical chemistry. B

Journal of chemical theory and computation

Journal of chemical information and modeling

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

Publications

Timothy D Loose, Patrick G Sahrmann, Thomas S Qu, Gregory A Voth
Coarse-Graining with Equivariant Neural Networks: A Path Toward Accurate and Data-Efficient Models. The journal of physical chemistry. B (2023)
Patrick G Sahrmann, Timothy D Loose, Aleksander E P Durumeric, Gregory A Voth
Utilizing Machine Learning to Greatly Expand the Range and Accuracy of Bottom-Up Coarse-Grained Models through Virtual Particles. Journal of chemical theory and computation (2023)
Yuxing Peng, Alexander J Pak, Aleksander E P Durumeric, Patrick G Sahrmann, Sriramvignesh Mani, Jaehyeok Jin, Timothy D Loose, Jeriann Beiter, Gregory A Voth
OpenMSCG: A Software Tool for Bottom-Up Coarse-Graining. The journal of physical chemistry. B (2023)
Timothy D Loose, Patrick G Sahrmann, Gregory A Voth
Centroid Molecular Dynamics Can Be Greatly Accelerated through Neural Network Learned Centroid Forces Derived from Path Integral Molecular Dynamics. Journal of chemical theory and computation 18 (10) (2022)
Patrick G Sahrmann, Patrick H Donnan, Kenneth M Merz, Steven O Mansoorabadi, Douglas C Goodwin
MRP.py: A Parametrizer of Post-Translationally Modified Residues. Journal of chemical information and modeling 60 (10) (2020)