This article introduces an innovative approach that utilizes machine learning (ML) to address the computational challenges of accurate atomistic simulations in materials science. Focusing…
Browsing: Molecular Dynamics
This paper presents an integrated, multi-disciplinary framework for Active Learning (AL) enabled scale-bridging approach. This approach is demonstrated through two exemplar applications, Inertial Confinement…
This article presents a workflow for the design of architected honeycomb materials, utilizing simulation to determine insights into the space of hierarchical honeycomb lattices,…