all AI news
Accelerated Solutions of Coupled Phase-Field Problems using Generative Adversarial Networks. (arXiv:2211.12084v2 [cond-mat.mtrl-sci] UPDATED)
Nov. 24, 2022, 7:13 a.m. | Vir Karan, A. Maruthi Indresh, Saswata Bhattacharyya
cs.LG updates on arXiv.org arxiv.org
Multiphysics problems such as multicomponent diffusion, phase transformations
in multiphase systems and alloy solidification involve numerical solution of a
coupled system of nonlinear partial differential equations (PDEs). Numerical
solutions of these PDEs using mesh-based methods require spatiotemporal
discretization of these equations. Hence, the numerical solutions are often
sensitive to discretization parameters and may have inaccuracies (resulting
from grid-based approximations). Moreover, choice of finer mesh for higher
accuracy make these methods computationally expensive. Neural network-based PDE
solvers are emerging as robust …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Senior ML Researcher - 3D Geometry Processing | 3D Shape Generation | 3D Mesh Data
@ Promaton | Europe
Research Assistant/Associate, Health Data Science [LKCMedicine]
@ Nanyang Technological University | NTU Novena Campus, Singapore
Senior Machine Learning Engineer, Portfolio ML
@ Affirm | Remote Canada
[Sessional Lecturer] Foundations of Data Analytics and Machine Learning - APS1070
@ University of Toronto | Toronto, ON, CA
Senior Data Scientist
@ Prosper | United States
Data Analyst
@ ZF Friedrichshafen AG | Coimbatore, TN, IN, 641659