2 papers
cond-mat.mtrl-sci2024
Materials Learning Algorithms (MALA): Scalable Machine Learning for Electronic Structure Calculations in Large-Scale Atomistic Simulations
Attila Cangi, Lenz Fiedler, Bartosz Brzoza +11
We present the Materials Learning Algorithms (MALA) package, a scalable machine learning framework designed to accelerate density functional theory (DFT) calculations suitable for…
cs.DC2024
Breaking the mold: overcoming the time constraints of molecular dynamics on general-purpose hardware
Danny Perez, Aidan Thompson, Stan Moore +11
The evolution of molecular dynamics (MD) simulations has been intimately linked to that of computing hardware. For decades following the creation of MD, simulations have improved w…