2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 2 cited
Geometry encoding for numerical simulations
Amir Maleki, Jan Heyse, Rishikesh Ranade +3
We present a notion of geometry encoding suitable for machine learning-based numerical simulation. In particular, we delineate how this notion of encoding is different than other e…
cs.LG2021★ 1 cited
A Latent space solver for PDE generalization
Rishikesh Ranade, Chris Hill, Haiyang He +2
In this work we propose a hybrid solver to solve partial differential equation (PDE)s in the latent space. The solver uses an iterative inferencing strategy combined with solution…
cs.LG2021
ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs
Rishikesh Ranade, Jay Pathak
Engineering simulations for analysis of structural and fluid systems require information of contacts between various 3-D surfaces of the geometry to accurately model the physics be…