Jun Sur Richard Park
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Also affiliated: Korea Institute for Advanced Study (2024); University of Iowa (2021–2022); Korea Advanced Institute of Science and Technology (2023); Korea University (2026); Texas A&M University (2019–2020)
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Biography and Research Information
OverviewAI-generated summary
Jun Sur Richard Park's research focuses on the development and application of advanced computational methods for solving complex problems in science and engineering. His work often involves multiscale simulations, aiming to model phenomena across different spatial and temporal scales. Recent publications highlight his investigations into Richards equations for multi-continuum systems and the use of physics-informed neural networks to learn homogenized coefficients for multiscale elliptic equations. He has also explored thermodynamics-informed latent space dynamics identification and non-intrusive bi-fidelity reduced basis methods. Park's scholarship metrics include an h-index of 4, with 14 total publications and 62 citations, indicating ongoing contributions to his field.
Metrics
- h-index: 6
- Publications: 14
- Citations: 84
Selected Publications
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tLaSDI: Thermodynamics-informed Latent Space Dynamics Identification (2026)
Collaboration Network
Top Collaborators
- tLaSDI: Thermodynamics-informed Latent Space Dynamics Identification
- tLaSDI: Thermodynamics-informed Latent Space Dynamics Identification
- tLaSDI: Thermodynamics-informed Latent Space Dynamics Identification
- tLaSDI: Thermodynamics-informed Latent Space Dynamics Identification
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