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ACEworks and Materials Design to continue their successful collaboration in the field of Machine-Learned Potentials
ACEworks and Materials Design are rolling forward their successful collaboration with the full integration of the GRACEmaker code of ACEworks in the MedeA computational environment. The GRACEmaker code is based on the Graph Atomic Cluster Expansion (GRACE), one of the most advanced methods for the generation of Machine-Learned Potentials (MLPs). MedeA 3.12 provides comprehensive support of the leading GRACE 1L and 2L potentials in MedeA LAMMPS . This includes access to t

Katherine Hollingsworth
2 days ago1 min read


Materials Design Releases MedeA 3.12 —Train.Deploy.Discover
Materials Design announces MedeA 3.12, materials simulation environment, delivering a revolutionary integration of machine learning capabilities that transform materials modeling workflows. The MedeA 3.12 release establishes a comprehensive machine-learned potential ecosystem spanning training, refinement, deployment, and analysis, while introducing powerful new builders for complex microstructures and enhanced tools for materials discovery.

Katherine Hollingsworth
Dec 22, 20256 min read
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