1 citations · 1 across the 2 of their papers we have counts for
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…
physics.plasm-ph2022★ 1 cited
atoMEC: An open-source average-atom Python code
Timothy J. Callow, Daniel Kotik, Eli Kraisler +1
Average-atom models are an important tool in studying matter under extreme conditions, such as those conditions experienced in planetary cores, brown and white dwarfs, and during i…