Machine learning structure preserving brackets for forecasting irreversible processes

23 June 2021

Papers citing "Machine learning structure preserving brackets for forecasting irreversible processes"

29 / 29 papers shown

Title
Equilibrium Conserving Neural Operators for Super-Resolution Learning Vivek Oommen Andreas E. Robertson Daniel Diaz Coleman Alleman Zhen Zhang Anthony D. Rollett George Karniadakis Rémi Dingreville 33 1 0 18 Apr 2025
Efficiently Parameterized Neural Metriplectic Systems Anthony Gruber Kookjin Lee Haksoo Lim Noseong Park Nathaniel Trask 58 1 0 28 Jan 2025
Understanding and Mitigating Membership Inference Risks of Neural Ordinary Differential Equations Sanghyun Hong Fan Wu A. Gruber Kookjin Lee 42 0 0 12 Jan 2025
Recovering implicit physics model under real-world constraints Ayan Banerjee Sandeep K. S. Gupta PINN AI4CE 66 1 0 03 Dec 2024
Parameterized Physics-informed Neural Networks for Parameterized PDEs Woojin Cho Minju Jo Haksoo Lim Kookjin Lee Dongeun Lee Sanghyun Hong Noseong Park PINN AI4CE 30 15 1 18 Aug 2024
Graph neural networks informed locally by thermodynamics Alicia Tierz Ic´ıar Alfaro David González Francisco Chinesta Elías Cueto AI4CE PINN 68 0 0 21 May 2024
A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling Christophe Bonneville Xiaolong He April Tran Jun Sur Richard Park William D. Fries ... David M. Bortz Debojyoti Ghosh Jiun-Shyan Chen Jonathan Belof Youngsoo Choi AI4CE 29 7 0 16 Mar 2024
tLaSDI: Thermodynamics-informed latent space dynamics identification Jun Sur Richard Park Siu Wun Cheung Youngsoo Choi Yeonjong Shin AI4CE 11 4 0 09 Mar 2024
Thermodynamics-informed super-resolution of scarce temporal dynamics data Carlos Bermejo-Barbanoj B. Moya Alberto Badías Francisco Chinesta Elías Cueto AI4CE 14 2 0 27 Feb 2024
Neural oscillators for generalization of physics-informed machine learning Taniya Kapoor Abhishek Chandra D. Tartakovsky Hongrui Wang Alfredo Núñez R. Dollevoet AI4CE 19 10 0 17 Aug 2023
Reversible and irreversible bracket-based dynamics for deep graph neural networks A. Gruber Kookjin Lee N. Trask AI4CE 25 9 0 24 May 2023
Physics-Informed Learning Using Hamiltonian Neural Networks with Output Error Noise Models Sarvin Moradi N. Jaensson Roland Tóth Maarten Schoukens PINN 25 3 0 02 May 2023
Pseudo-Hamiltonian neural networks for learning partial differential equations Sølve Eidnes K. Lye 18 10 0 27 Apr 2023
Climate Intervention Analysis using AI Model Guided by Statistical Physics Principles S. K. Kim Kalai Ramea Salva Rühling Cachay H. Hirasawa Subhashis Hazarika D. Hingmire Peetak Mitra P. Rasch Hansi K. A. Singh AI4CE 25 0 0 07 Feb 2023
Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto PINN AI4CE 27 13 0 03 Nov 2022
Mining Causality from Continuous-time Dynamics Models: An Application to Tsunami Forecasting Fan Wu Sanghyun Hong Dobsub Rim Noseong Park Kookjin Lee AI4TS 29 1 0 10 Oct 2022
Exact conservation laws for neural network integrators of dynamical systems E. Müller PINN 37 12 0 23 Sep 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 23 22 0 26 Jul 2022
AdamNODEs: When Neural ODE Meets Adaptive Moment Estimation Suneghyeon Cho Sanghyun Hong Kookjin Lee Noseong Park 13 2 0 13 Jul 2022
Scalable algorithms for physics-informed neural and graph networks K. Shukla Mengjia Xu N. Trask George Karniadakis PINN AI4CE 59 40 0 16 May 2022
A Thermodynamics-informed Active Learning Approach to Perception and Reasoning about Fluids B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto AI4CE 10 12 0 11 Mar 2022
Thermodynamics-informed graph neural networks Quercus Hernandez Alberto Badías Francisco Chinesta Elías Cueto AI4CE PINN 25 31 0 03 Mar 2022
Learning Neural Hamiltonian Dynamics: A Methodological Overview Zhijie Chen Mingquan Feng Junchi Yan H. Zha AI4CE 19 15 0 28 Feb 2022
Deconstructing the Inductive Biases of Hamiltonian Neural Networks Nate Gruver Marc Finzi Samuel Stanton A. Wilson AI4CE 13 39 0 10 Feb 2022
One-Shot Transfer Learning of Physics-Informed Neural Networks Shaan Desai M. Mattheakis H. Joy P. Protopapas Stephen J. Roberts PINN AI4CE 14 58 0 21 Oct 2021
Structure-preserving Sparse Identification of Nonlinear Dynamics for Data-driven Modeling Kookjin Lee Nathaniel Trask P. Stinis 30 24 0 11 Sep 2021
GFINNs: GENERIC Formalism Informed Neural Networks for Deterministic and Stochastic Dynamical Systems Zhen Zhang Yeonjong Shin George Karniadakis AI4CE 17 51 0 31 Aug 2021
Lagrangian Neural Networks M. Cranmer S. Greydanus Stephan Hoyer Peter W. Battaglia D. Spergel S. Ho PINN 127 422 0 10 Mar 2020
Symplectic Recurrent Neural Networks Zhengdao Chen Jianyu Zhang Martín Arjovsky Léon Bottou 141 219 0 29 Sep 2019