2 citations · 2 across the 2 of their papers we have counts for
2 papers
physics.chem-ph2025
Coarse-Graining in Quantum Mechanics: Distinguishable and Indistinguishable Particles
Patrick G. Sahrmann, Gregory A. Voth
Bottom-up coarse-grained (CG) modeling expands the spatial and temporal scales of molecular simulation by seeking a reduced, thermodynamically consistent representation of an atomi…
physics.chem-ph2023★ 2 cited
Coarse-Graining with Equivariant Neural Networks: A Path Towards Accurate and Data-Efficient Models
Timothy D. Loose, Patrick G. Sahrmann, Thomas S. Qu +1
Machine learning has recently entered into the mainstream of coarse-grained (CG) molecular modeling and simulation. While a variety of methods for incorporating deep learning into…