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Moraru, Maxim [Los Alamos National Laboratory]

Publications and source records attributed to Moraru, Maxim [Los Alamos National Laboratory].

ML-AMD/exa-pd

Exa-pd is a highly parallelizable workflow for constructing multi-element phase diagrams (PDs). It uses standard sampling techniques—molecular dynamics (MD) and Monte Carlo (MC)—as implemented in the LAMMPS package, to simultaneously sample multiple phases on a fine temperature–composition mesh for free-energy calculations. The workflow uses Parsl as a global controller to manage the MD/MC jobs to achieve massive parallelization with almost ideal scalability. The resulting free energies of both liquid and solid phases (including solid solutions) are then fed to CALPHAD modeling using the PYCALPHAD package for the construction of a multi-element PD.

Zhang, Feng [Ames Laboratory (AMES), Ames, IA (Uni↗

ML-AMD/exa-amd

ML-AMD is a Python workflow framework designed to accelerate the discovery and design of functional materials.

Moraru, Maxim [Los Alamos National Laboratory]↗