Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics

23 July 2023

Papers citing "Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics"

5 / 5 papers shown

Title
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing D. Patel R. Sharma Y.B. Guo AI4CE PINN 28 0 0 02 May 2025
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 37 94 0 05 Oct 2021
Finite Basis Physics-Informed Neural Networks (FBPINNs): a scalable domain decomposition approach for solving differential equations Benjamin Moseley Andrew Markham T. Nissen‐Meyer PINN 37 206 0 16 Jul 2021
B-PINNs: Bayesian Physics-Informed Neural Networks for Forward and Inverse PDE Problems with Noisy Data Liu Yang Xuhui Meng George Karniadakis PINN 170 755 0 13 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey A. Torfi Rouzbeh A. Shirvani Yaser Keneshloo Nader Tavvaf Edward A. Fox AI4CE VLM 76 211 0 02 Mar 2020