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Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md

Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)

We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration. Our current academic focus is to develop numerical methods for the following issues:

  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications

We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.

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    A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

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  2. Enhanced-CBEnhanced-CBPublic

    1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic

    Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python 1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic

  5. RecurDynPythonRecurDynPythonPublic

    RecurDyn automation using Python and ProcessNet

    Python 8

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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
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  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
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  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
Hits

Pinned
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  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


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Showing 10 of 13 repositories
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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
Hits

Pinned
Loading
  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


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Showing 10 of 13 repositories
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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
Hits

Pinned
Loading
  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


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Showing 10 of 13 repositories
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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
Hits

Pinned
Loading
  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


Repositories

Showing 10 of 13 repositories
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Modeling & Simulation Lab. · GitHub
Skip to content
@KHU-MASLAB

Modeling & Simulation Lab.

Department of Mechanical Engineering (Integrated Engineering), Kyung Hee University
README.md
Welcome to Modeling and Simulation (M&S) lab (Jin-Gyun Kim's group)
We are in Department of Mechanical Engineering at Kyung Hee University. We develop computational modeling and simulation methods of structures based on classical mechanics, in particular, for dynamics and vibration.
Our current academic focus is to develop numerical methods for the following issues:
  • Deterministic/stochastic M&S
  • Multi-physics M&S
  • Data driven M&S (In particular, for digital twin, virtual sensing and real-time simulation)
  • Engineering applications
We also tackle broad range projects of vibration, dynamics and CAE issues with both academic and industrial partners. For more information, please visit our website.
Hits

Pinned
Loading
  1. cNN-DPcNN-DPPublic
    
A novel neural network for effective learning of highly impulsive/oscillatory dynamic systems by jointly utilizing low-order derivatives

    Python
4

2

  2. Enhanced-CBEnhanced-CBPublic
    
1

  3. TimeSeriesSeq2SeqTimeSeriesSeq2SeqPublic
    
Sequence-to-sequence model implementations including RNN, CNN, Attention, and Transformers using PyTorch

    Python
1

  4. Vibroacoustic_ROMVibroacoustic_ROMPublic
  5. RecurDynPythonRecurDynPythonPublic
    
RecurDyn automation using Python and ProcessNet

    Python
8


Repositories

Showing 10 of 13 repositories
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People

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