2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.DS2024
Physics-informed nonlinear vector autoregressive models for the prediction of dynamical systems
James H. Adler, Samuel Hocking, Xiaozhe Hu +1
Machine learning techniques have recently been of great interest for solving differential equations. Training these models is classically a data-fitting task, but knowledge of the…
cond-mat.soft2022★ 2 cited
Morpho -- A programmable environment for shape optimization and shapeshifting problems
Chaitanya Joshi, Daniel Goldstein, Cole Wennerholm +6
An emerging theme across many domains of science and engineering is materials that change shape, often dramatically. Determining their structure involves solving a shape optimizati…