40 citations · 160 across the 39 of their papers we have counts for
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Manifold learning for coarse-graining atomistic simulations: Application to amorphous solids
Katiana Kontolati, Darius Alix-Williams, Nicholas M. Boffi +3
We introduce a generalized machine learning framework to probabilistically parameterize upper-scale models in the form of nonlinear PDEs consistent with a continuum theory, based o…
Coordinate transformation methodology for simulating quasi-static elastoplastic solids
Nicholas M. Boffi, Chris H. Rycroft
Molecular dynamics simulations frequently employ periodic boundary conditions where the positions of the periodic images are manipulated in order to apply deformation to the materi…
Parallel three-dimensional simulations of quasi-static elastoplastic solids
Nicholas M. Boffi, Chris H. Rycroft
Hypo-elastoplasticity is a flexible framework for modeling the mechanics of many hard materials under small elastic deformation and large plastic deformation. Under typical loading…