Thermodynamics-informed graph neural networks

3 March 2022

Papers citing "Thermodynamics-informed graph neural networks"

20 / 20 papers shown

Title
Learning Paradigms and Modelling Methodologies for Digital Twins in Process Industry Michael Mayr Georgios C. Chasparis Josef Küng AI4CE 21 0 0 02 Jul 2024
GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications Oisín M. Morrison F. Pichi J. Hesthaven AI4CE 21 1 0 05 Jun 2024
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray Faisal Amlani Frédéric Feyel David Néron AI4CE 31 5 0 03 Jun 2024
Physics-Aware Neural Implicit Solvers for multiscale, parametric PDEs with applications in heterogeneous media Matthaios Chatzopoulos P. Koutsourelakis AI4CE 21 3 0 29 May 2024
Graph neural networks informed locally by thermodynamics Alicia Tierz Ic´ıar Alfaro David González Francisco Chinesta Elías Cueto AI4CE PINN 55 0 0 21 May 2024
A comparison of Single- and Double-generator formalisms for Thermodynamics-Informed Neural Networks Pau Urdeitx Ic´ıar Alfaro David González Francisco Chinesta Elías Cueto AI4CE 28 1 0 01 Apr 2024
Thermodynamics-informed super-resolution of scarce temporal dynamics data Carlos Bermejo-Barbanoj B. Moya Alberto Badías Francisco Chinesta Elías Cueto AI4CE 12 2 0 27 Feb 2024
On the Interplay of Subset Selection and Informed Graph Neural Networks Niklas Breustedt Paolo Climaco Jochen Garcke J. Hamaekers Gitta Kutyniok D. Lorenz Rick Oerder Chirag Varun Shukla 22 0 0 15 Jun 2023
Gibbs-Duhem-Informed Neural Networks for Binary Activity Coefficient Prediction Jan G. Rittig Kobi C. Felton A. Lapkin Alexander Mitsos AI4CE 12 13 0 31 May 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 12 9 0 24 May 2023
A graph convolutional autoencoder approach to model order reduction for parametrized PDEs F. Pichi B. Moya J. Hesthaven AI4CE 25 51 0 15 May 2023
Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems Ce Zhang Kailiang Wu Zhihai He 11 0 0 15 Apr 2023
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 25 13 0 03 Nov 2022
Thermodynamics-informed neural networks for physically realistic mixed reality Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 13 16 0 24 Oct 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 16 22 0 26 Jul 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 56 39 0 16 May 2022
Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN) Filippo Masi I. Stefanou AI4CE 17 87 0 30 Aug 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud Weijing Shi Ragunathan R. Rajkumar 3DPC 139 731 0 02 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 139 219 0 29 Sep 2019
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016