Topics: Boundary-value problems , Errors , Physics , Stress , Displacement , Finite element analysis , Damage , Geometry , Convolutional neural networks

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Mehdi Taghizadeh, Mohammad Amin Nabian, Negin Alemazkoor

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111003. doi: https://doi.org/10.1115/1.4063986

Abstract

View articletitled, Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

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Topics: Generative adversarial networks , Generators , Hafnium , Physics , Artificial neural networks , Partial differential equations , Errors

Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity

Tong Zhu, Qiye Zheng, Yanglong Lu

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111004. doi: https://doi.org/10.1115/1.4064555

Abstracts

View articletitled, Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity

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Topics: Heat conduction , Physics , Temperature , Thermal diffusivity , Artificial neural networks , Boundary-value problems , Inverse problems

Machine-Learning Metacomputing for Materials Science Data

J. C. Steuben, A. B. Geltmacher, S. N. Rodriguez, A. J. Birnbaum, B. D. Graber, A. K. Rawlings, A. P. Iliopoulos, J. G. Michopoulos

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111005. doi: https://doi.org/10.1115/1.4064975

Abstracts

View articletitled, Machine-Learning Metacomputing for Materials Science Data

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Topics: Electron backscatter diffraction , Machine learning , Materials science , Noise (Sound) , Modeling , Errors , Maintenance , Simulation

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Sean Rescsanski, Vihaan Shah, Jiong Tang, Farhad Imani

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111006. doi: https://doi.org/10.1115/1.4065525

Abstracts

View articletitled, Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

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Topics: Additive manufacturing , Flaw detection , Manufacturing , Random-access memory , Robotics , Simulation , Robots

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Jan N. Fuhg, Nikolaos Bouklas, Reese E. Jones

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111007. doi: https://doi.org/10.1115/1.4064650

Abstracts

View articletitled, Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

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Topics: Artificial neural networks , Stress , Tensors , Errors

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

Amin Yousefpour, Mehdi Shishehbor, Zahra Zanjani Foumani, Ramin Bostanabad

J. Comput. Inf. Sci. Eng. November 2024, 24(11): 111008. doi: https://doi.org/10.1115/1.4063642

Abstract

View articletitled, Unsupervised Anomaly Detection via Nonlinear Manifold Learning

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Topics: Manifolds , Errors

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Special Issue: Scientific Machine Learning for Manufacturing Processes and Material Systems

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Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation

A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage

Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations

Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity

Machine-Learning Metacomputing for Materials Science Data

Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps

Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen

Unsupervised Anomaly Detection via Nonlinear Manifold Learning

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