39 citations · 39 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026
PolyGraphPy: A unified Python framework for atomistic simulation and machine learning-driven polymer design
João G. C. S. Duarte, Shruti Venkatram, Morgan Cencer +2
Polymers are indispensable materials with daily applications ranging from electronics to medicine, owing to their versatility, which can be tailored by adjusting their chemical com…
physics.data-an2021★ 39 cited
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models
Katiana Kontolati, Dimitrios Loukrezis, Ketson R. M. dos Santos +2
In this work we introduce a manifold learning-based method for uncertainty quantification (UQ) in systems describing complex spatiotemporal processes. Our first objective is to ide…