no code implementations • 25 Oct 2022 • Pouria Mistani, Samira Pakravan, Rajesh Ilango, Sanjay Choudhry, Frederic Gibou
We present a highly scalable strategy for developing mesh-free neuro-symbolic partial differential equation solvers from existing numerical discretizations found in scientific computing.
no code implementations • 24 Feb 2022 • Benjamin Wu, Oliver Hennigh, Jan Kautz, Sanjay Choudhry, Wonmin Byeon
This efficiently and flexibly produces a compressed representation which is used for additional conditioning of physics-informed models.
no code implementations • 14 Dec 2020 • Oliver Hennigh, Susheela Narasimhan, Mohammad Amin Nabian, Akshay Subramaniam, Kaustubh Tangsali, Max Rietmann, Jose del Aguila Ferrandis, Wonmin Byeon, Zhiwei Fang, Sanjay Choudhry
We present real-world use cases that range from challenging forward multi-physics simulations with turbulence and complex 3D geometries, to industrial design optimization and inverse problems that are not addressed efficiently by the traditional solvers.
