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Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks

28 July 2020

Papers citing "Machine learning for metal additive manufacturing: Predicting temperature and melt pool fluid dynamics using physics-informed neural networks"

32 / 32 papers shown

Title
Physics-Informed Machine Learning for Smart Additive Manufacturing Rahul Sharma M. Raissi Y. B. Guo PINN AI4CE 42 3 0 15 Jul 2024
Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes Ming Zhong Dehao Liu Raymundo Arroyave U. Braga-Neto AI4CE SSL 69 1 0 08 Apr 2024
Advancing Additive Manufacturing through Deep Learning: A Comprehensive Review of Current Progress and Future Challenges Amirul Islam Saimon Emmanuel Yangue Xiaowei Yue Zhenyu Kong Chenang Liu AI4CE 84 7 0 01 Mar 2024
Preconditioning for Physics-Informed Neural Networks Songming Liu Chang Su J. Yao Zhongkai Hao Hang Su Youjia Wu Jun Zhu AI4CE PINN 110 6 0 01 Feb 2024
Real-Time 2D Temperature Field Prediction in Metal Additive Manufacturing Using Physics-Informed Neural Networks Pouyan Sajadi M. Rahmani Dehaghani Yifan Tang G. G. Wang PINN AI4CE 33 0 0 04 Jan 2024
The Physics-Informed Neural Network Gravity Model: Generation III John Martin Hanspeter Schaub PINN 108 0 0 15 Dec 2023
Deep Learning in Deterministic Computational Mechanics L. Herrmann Stefan Kollmannsberger AI4CE PINN 114 0 0 27 Sep 2023
Fast and Accurate Reduced-Order Modeling of a MOOSE-based Additive Manufacturing Model with Operator Learning M. Yaseen D. Yushu P. German Xuechun Wu AI4CE 25 5 0 04 Aug 2023
Physics-Informed Machine Learning of Argon Gas-Driven Melt Pool Dynamics Rahul Sharma Y.B. Guo M. Raissi W. Guo PINN AI4CE 61 6 0 23 Jul 2023
A hybrid machine learning framework for clad characteristics prediction in metal additive manufacturing S. Tayebati K. Cho AI4CE 44 3 0 04 Jul 2023
Capturing Local Temperature Evolution during Additive Manufacturing through Fourier Neural Operators Jiangce Chen Wenzhuo Xu Martha Baldwin Björn Nijhuis T. Boogaard Noelia Grande Gutiérrez S. Narra Christopher McComb AI4CE 48 3 0 04 Jul 2023
Learning from Integral Losses in Physics Informed Neural Networks Ehsan Saleh Saba Ghaffari Timothy Bretl Luke N. Olson Matthew West PINN AI4CE 72 4 0 27 May 2023
A Multi-Resolution Physics-Informed Recurrent Neural Network: Formulation and Application to Musculoskeletal Systems Karan Taneja Xiaolong He Qizhi He Jiun-Shyan Chen 77 9 0 26 May 2023
A Framework Based on Symbolic Regression Coupled with eXtended Physics-Informed Neural Networks for Gray-Box Learning of Equations of Motion from Data Elham Kiyani K. Shukla George Karniadakis M. Karttunen 73 22 0 18 May 2023
Simulation and Prediction of Countercurrent Spontaneous Imbibition at Early and Late Times Using Physics-Informed Neural Networks J. Abbasi P. Andersen PINN 55 5 0 06 May 2023
Physics-aware deep learning framework for linear elasticity Anisha Roy Rikhi Bose AI4CE 83 8 0 19 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 95 2 0 06 Feb 2023
Spatio-Temporal Super-Resolution of Dynamical Systems using Physics-Informed Deep-Learning Rajat Arora Ankit Shrivastava AI4CE 96 4 0 08 Dec 2022
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 125 99 0 15 Nov 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 77 21 0 27 Oct 2022
New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences Umberto Michelucci F. Venturini 34 5 0 30 Sep 2022
MRF-PINN: A Multi-Receptive-Field convolutional physics-informed neural network for solving partial differential equations Shihong Zhang Chi Zhang Bo Wang AI4CE 41 3 0 06 Sep 2022
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling Arka Daw Jie Bu Sizhuang He P. Perdikaris Anuj Karpatne AI4CE 109 52 0 05 Jul 2022
PhySRNet: Physics informed super-resolution network for application in computational solid mechanics Rajat Arora AI4CE 83 10 0 30 Jun 2022
Hybrid thermal modeling of additive manufacturing processes using physics-informed neural networks for temperature prediction and parameter identification Shuheng Liao Tianju Xue Jihoon Jeong Samantha Webster K. Ehmann Jian Cao AI4CE 70 53 0 15 Jun 2022
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks Raghav Gnanasambandam Bo Shen Jihoon Chung Xubo Yue Zhenyu Zhen Kong LRM 153 12 0 26 Apr 2022
Physics-informed neural networks for modeling rate- and temperature-dependent plasticity Rajat Arora P. Kakkar Biswadip Dey Amit Chakraborty PINN AI4CE 114 20 0 20 Jan 2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next S. Cuomo Vincenzo Schiano Di Cola F. Giampaolo G. Rozza Maizar Raissi F. Piccialli PINN 136 1,299 0 14 Jan 2022
Physics informed neural networks for continuum micromechanics Alexander Henkes Henning Wessels R. Mahnken PINN AI4CE 75 145 0 14 Oct 2021
A Review of Physics-based Machine Learning in Civil Engineering S. Vadyala S. N. Betgeri J. Matthews Elizabeth Matthews AI4CE 89 156 0 09 Oct 2021
A Physics Informed Neural Network Approach to Solution and Identification of Biharmonic Equations of Elasticity M. Vahab E. Haghighat M. Khaleghi N. Khalili PINN 120 45 0 16 Aug 2021
A Physics-Informed Machine Learning Model for Porosity Analysis in Laser Powder Bed Fusion Additive Manufacturing Rui Liu Sen Liu Xiaoli Zhang AI4CE 33 86 0 13 Jan 2021