11 citations · 21 across the 5 of their papers we have counts for
3 papers · 1 filter
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
Hyungro Lee, Heng Ma, Matteo Turilli +3
Simulations of biological macromolecules play an important role in understanding the physical basis of a number of complex processes such as protein folding. Even with increasing c…
Deep Generative Model Driven Protein Folding Simulation
Heng Ma, Debsindhu Bhowmik, Hyungro Lee +4
Significant progress in computer hardware and software have enabled molecular dynamics (MD) simulations to model complex biological phenomena such as protein folding. However, enab…
Extensible and Scalable Adaptive Sampling on Supercomputers
Eugen Hruska, Vivekanandan Balasubramanian, Hyungro Lee +2
The accurate sampling of protein dynamics is an ongoing challenge despite the utilization of High-Performance Computers (HPC) systems. Utilizing only "brute force" MD simulations r…