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Physics guided neural networks for modelling of non-linear dynamics

Physics guided neural networks for modelling of non-linear dynamics

13 May 2022
Haakon Robinson
Suraj Pawar
Adil Rasheed
Omer San
    PINN
    AI4TS
    AI4CE
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Papers citing "Physics guided neural networks for modelling of non-linear dynamics"

11 / 11 papers shown
Title
State-space models are accurate and efficient neural operators for dynamical systems
State-space models are accurate and efficient neural operators for dynamical systems
Zheyuan Hu
Nazanin Ahmadi Daryakenari
Qianli Shen
Kenji Kawaguchi
George Karniadakis
Mamba
AI4CE
75
13
0
28 Jan 2025
Point Neuron Learning: A New Physics-Informed Neural Network
  Architecture
Point Neuron Learning: A New Physics-Informed Neural Network Architecture
Hanwen Bi
T. Abhayapala
PINN
21
3
0
30 Aug 2024
Aeroengine performance prediction using a physical-embedded data-driven
  method
Aeroengine performance prediction using a physical-embedded data-driven method
Tong Mo
Shiran Dai
An Fu
Xiaomeng Zhu
Shuxiao Li
27
0
0
29 Jun 2024
A novel framework for generalization of deep hidden physics models
A novel framework for generalization of deep hidden physics models
Vijay Kag
Birupaksha Pal
AI4CE
13
0
0
09 Jan 2024
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
20
9
0
31 Oct 2023
Digital Twins in Wind Energy: Emerging Technologies and
  Industry-Informed Future Directions
Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions
Florian Stadtmann
Adil Rasheed
T. Kvamsdal
K. Johannessen
Omer San
...
Håvard Paulshus
Tore Rasmussen
E. Rishoff
Francesco Scibilia
John Olav Skogås
27
32
0
16 Apr 2023
Machine Learning for Smart and Energy-Efficient Buildings
Machine Learning for Smart and Energy-Efficient Buildings
Hari Prasanna Das
Yu-Wen Lin
Utkarsha Agwan
Lucas Spangher
Alex Devonport
Yu Yang
Ján Drgoňa
A. Chong
S. Schiavon
C. Spanos
HAI
AI4CE
34
20
0
27 Nov 2022
A novel corrective-source term approach to modeling unknown physics in
  aluminum extraction process
A novel corrective-source term approach to modeling unknown physics in aluminum extraction process
Haakon Robinson
E. Lundby
Adil Rasheed
J. Gravdahl
28
5
0
22 Sep 2022
Decentralized digital twins of complex dynamical systems
Decentralized digital twins of complex dynamical systems
Omer San
Suraj Pawar
Adil Rasheed
AI4CE
41
11
0
07 Jul 2022
Combining physics-based and data-driven techniques for reliable hybrid
  analysis and modeling using the corrective source term approach
Combining physics-based and data-driven techniques for reliable hybrid analysis and modeling using the corrective source term approach
Sindre Stenen Blakseth
Adil Rasheed
T. Kvamsdal
Omer San
AI4CE
26
31
0
07 Jun 2022
Physics guided machine learning using simplified theories
Physics guided machine learning using simplified theories
Suraj Pawar
Omer San
Burak Aksoylu
Adil Rasheed
T. Kvamsdal
PINN
AI4CE
105
106
0
18 Dec 2020
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