Exploring the potential of transfer learning for metamodels of heterogeneous material deformation

28 October 2020

Papers citing "Exploring the potential of transfer learning for metamodels of heterogeneous material deformation"

6 / 6 papers shown

Title
Cooperative data-driven modeling Aleksandr Dekhovich O. T. Turan Jiaxiang Yi Miguel A. Bessa CLL KELM AI4CE 24 5 0 23 Nov 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Enhancing Mechanical Metamodels with a Generative Model-Based Augmented Training Dataset Hiba Kobeissi S. Mohammadzadeh Emma Lejeune AI4CE 46 15 0 08 Mar 2022
Learning Mechanically Driven Emergent Behavior with Message Passing Neural Networks Peerasait Prachaseree Emma Lejeune PINN AI4CE 35 11 0 03 Feb 2022
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels S. Mohammadzadeh Emma Lejeune AI4CE 30 28 0 24 Jul 2021
Predicting the Mechanical Properties of Biopolymer Gels Using Neural Networks Trained on Discrete Fiber Network Data Yue Leng Vahidullah Tac S. Calve A. B. Tepole 28 32 0 23 Jan 2021