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Hybrid thermal modeling of additive manufacturing processes using
  physics-informed neural networks for temperature prediction and parameter
  identification

Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification

15 June 2022
Shuheng Liao
Tianju Xue
Jihoon Jeong
Samantha Webster
K. Ehmann
Jian Cao
    AI4CE
ArXivPDFHTML

Papers citing "Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification"

3 / 3 papers shown
Title
Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing
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
25
0
0
02 May 2025
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review
Suk Ki Lee
Hyunwoong Ko
AI4CE
46
0
0
30 Apr 2025
Physics-informed neural networks with hard constraints for inverse
  design
Physics-informed neural networks with hard constraints for inverse design
Lu Lu
R. Pestourie
Wenjie Yao
Zhicheng Wang
F. Verdugo
Steven G. Johnson
PINN
39
365
0
09 Feb 2021
1