Myeong-Seok Go

According to our database1, Myeong-Seok Go authored at least 2 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
An efficient fixed-time increment-based data-driven simulation for general multibody dynamics using deep neural networks.
Eng. Comput., February, 2024

2020
A family of Craig-Bampton methods considering residual mode compensation.
Appl. Math. Comput., 2020


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