ResearchTrend.AI
Theory and implementation of inelastic Constitutive Artificial Neural Networks

Theory and implementation of inelastic Constitutive Artificial Neural Networks

H. Holthusen
L. Lamm
T. Brepols
Stefanie Reese
Ellen Kuhl
ArXiv (abs)PDFHTML

Papers citing "Theory and implementation of inelastic Constitutive Artificial Neural Networks"

4 / 4 papers shown
Title
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
Automated Model Discovery for Tensional Homeostasis: Constitutive Machine Learning in Growth and Remodeling
H. Holthusen
T. Brepols
K. Linka
Ellen Kuhl
97
5
0
17 Oct 2024
Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks
Accounting for plasticity: An extension of inelastic Constitutive Artificial Neural Networks
Birte Boes
Jaan-Willem Simon
H. Holthusen
AI4CE
80
6
0
27 Jul 2024
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
Yusuke Yamazaki
Ali Harandi
Mayu Muramatsu
A. Viardin
Markus Apel
T. Brepols
Stefanie Reese
Shahed Rezaei
AI4CE
102
14
0
21 May 2024
On sparse regression, Lp-regularization, and automated model discovery
On sparse regression, Lp-regularization, and automated model discovery
Jeremy A. McCulloch
Skyler R. St. Pierre
K. Linka
E. Kuhl
77
31
0
09 Oct 2023

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.