no code implementations • 5 May 2022 • Mario Lino, Stati Fotiadis, Anil A. Bharath, Chris Cantwell
Numerical simulation is an essential tool in many areas of science and engineering, but its performance often limits application in practice or when used to explore large parameter spaces.
no code implementations • 5 May 2022 • Mario Lino, Stathi Fotiadis, Anil A. Bharath, Chris Cantwell
Numerical simulators are essential tools in the study of natural fluid-systems, but their performance often limits application in practice.
1 code implementation • 26 Aug 2021 • Stathi Fotiadis, Mario Lino, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath
Deep neural networks have become increasingly of interest in dynamical system prediction, but out-of-distribution generalization and long-term stability still remains challenging.
no code implementations • 9 Jun 2021 • Mario Lino, Chris Cantwell, Anil A. Bharath, Stathi Fotiadis
Continuum mechanics simulators, numerically solving one or more partial differential equations, are essential tools in many areas of science and engineering, but their performance often limits application in practice.
no code implementations • 1 Dec 2020 • Mario Lino, Chris Cantwell, Stathi Fotiadis, Eduardo Pignatelli, Anil Bharath
We investigate the performance of fully convolutional networks to simulate the motion and interaction of surface waves in open and closed complex geometries.