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Data-driven simulation for general purpose multibody dynamics using deep
  neural networks

Data-driven simulation for general purpose multibody dynamics using deep neural networks

2 September 2019
Hee-Sun Choi
Junmo An
Jin-Gyun Kim
Jae-Yoon Jung
Juhwan Choi
Grzegorz Orzechowski
A. Mikkola
J. Choi
    PINNAI4CE
ArXiv (abs)PDFHTML

Papers citing "Data-driven simulation for general purpose multibody dynamics using deep neural networks"

5 / 5 papers shown
Title
Real-Time Structural Deflection Estimation in Hydraulically Actuated Systems Using 3D Flexible Multibody Simulation and DNNs
Qasim Khadim
Peter Manzl
Emil Kurvinen
A. Mikkola
Grzegorz Orzechowski
Johannes Gerstmayr
AI4CE
94
0
0
10 Mar 2025
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
Dynami-CAL GraphNet: A Physics-Informed Graph Neural Network Conserving Linear and Angular Momentum for Dynamical Systems
Vinay Sharma
Olga Fink
AI4CE
89
2
0
13 Jan 2025
SLIDE: A machine-learning based method for forced dynamic response
  estimation of multibody systems
SLIDE: A machine-learning based method for forced dynamic response estimation of multibody systems
Peter Manzl
Alexander Humer
Qasim Khadim
Johannes Gerstmayr
101
1
0
26 Sep 2024
Path Following and Stabilisation of a Bicycle Model using a
  Reinforcement Learning Approach
Path Following and Stabilisation of a Bicycle Model using a Reinforcement Learning Approach
Sebastian Weyrer
Peter Manzl
A. L. Schwab
Johannes Gerstmayr
28
0
0
24 Jul 2024
Solving Coupled Differential Equation Groups Using PINO-CDE
Solving Coupled Differential Equation Groups Using PINO-CDE
Wenhao Ding
Qing He
Hanghang Tong
Qingjing Wang
Ping Wang
OODAI4CE
52
4
0
01 Oct 2022
1