SciML & UQ @ ME Purdue Univ.
BongSeok Kim
Scientific Machine Learning and Computational Science
School of Mechanical Engineering · Purdue University

Publications: (* denotes corresponding author)

  1. BongSeok Kim, Jiahao Zhang, and Guang Lin*, “Weak-form evolutionary Kolmogorov–Arnold Networks for solving partial differential equations,” Computer Methods in Applied Mechanics and Engineering, 458, 119065, 2026 https://doi.org/10.1016/j.cma.2026.119065
  2. BongSeok Kim, Shinseong Kang, and Kyunghoon Lee*, “Component-based wing structure reconfiguration and analysis on the fly,” Aerospace Science and Technology, 151, 109238. https://doi.org/10.1016/j.ast.2024.109238
  3. Suman Chakraborty, BongSeok Kim (co-1st author), and Li Qiao*, “Molecular Dynamics Investigation of Mass Transport during Evaporation for the Binary System of n-Dodecane and Nitrogen,” The Journal of Physical Chemistry B, 1520-6106, 2026 https://doi.org/10.1021/acs.jpcb.6c00493
  4. BongSeok Kim, Johannes Krotz, Dinshaw S. Balsara, Ryan G. McClarren, Jiahao Zhang, and Guang Lin*, “A Hyperbolic Neural Closure for M1 Radiation Transfer,” Computer Methods in Applied Mechanics and Engineering, Under Review (July 2026). arXiv:2607.10364
  5. BongSeok Kim, Jiahao Zhang, and Guang Lin*, “BEKAN: Boundary condition-guaranteed evolutionary Kolmogorov–Arnold networks with radial basis functions for solving PDE problems,” Mathematics and Computers in Simulation, Under Review (July 2026). arXiv:2510.03576
  6. BongSeok Kim, Heesung Lee and Kyunghoon Lee*, “Structural Design Optimization of a Launch Vehicle Propellant Tank using Kriging,” Engineering Structures, 336, 120196. 10.5139/JKSAS.2025.53.10.1027
  7. Dayoung Kang, Shinseong Kang, BongSeok Kim and Kyunghoon Lee*, “Condition-based fatigue life monitoring of a high-pressure hydrogen storage vessel using a reduced basis digital twin,” Engineering Structures, 336, 120196. https://doi.org/10.1016/j.engstruct.2025.120196
  8. Amirhossein Mollaali, BongSeok Kim, Christian Moya, and Guang Lin*, “pADAM: A Plug-and-Play All-in-One Diffusion Architecture for Multi-Physics Learning,” Nature npj Artificial Intelligence, Under Revision (July 2026). arXiv:2603.16757

  9. BongSeok Kim, Haoyang Zhang, and Guang Lin*, “Bayesian Multi-fidelity Laplace Neural Operators for Parametric Oscillatory Partial Differential Equations,” Computer Methods in Applied Mechanics and Engineering, To be submitted (July 2026)
  10. BongSeok Kim, Suman Chakraborty, Gary Huang, Mehek Mathur, and Li Qiao*, “Symbolic Machine Learning for Vapor–Liquid Equilibrium Prediction in Cx–N2 Binary Mixtures,” Machine Learning with Applications, To be submitted (July 2026)

Conferences

  1. BongSeok Kim, Johannes Krotz, Dinshaw S. Balsara, Ryan G. McClarren, Jiahao Zhang, and Guang Lin, “Symmetrizable Hyperbolic Neural Closure for M1 Radiation Transfer,” SIAM Annual Meeting 2026, Cleveland, Ohio, USA, July 2026. Oral Presentation.
  2. Suman Chakraborty, BongSeok Kim, and Li Qiao, “Molecular Dynamics Investigation of Transcritical Mass Transport during Evaporation of n-Dodecane in Nitrogen,” International Conference of Fluid Dynamics 2025, Sendai, Japan, November 2025. Oral Presentation.
  3. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Component-Based Aircraft Wing Reconfiguration and Structural Response Prediction on the Fly,” Asian Congress of Structural and Multidisciplinary Optimization, May 2024. Oral Presentation.
  4. Dayoung Kang, BongSeok Kim, and Kyunghoon Lee, “Reliability-based Design Optimization of a Hydrogen Storage Vessel Using Rapid yet Accurate Structural Analysis,” The Society for Aerospace System Engineering 2024 Spring Conference, May 2024.
  5. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Static condensation reduced basis element analysis of an aircraft wing structure with applications,” The Korean Institute of Military Science and Technology 2023 Spring Conference, June 2023.
  6. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Linear elastostatic analysis of a wing structure via static condensation reduced basis element method,” Korean Society for Industrial and Applied Mathematics 2023 Spring Conference, May 2023.
  7. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Rapid yet accurate linear elastostatic analysis of an aircraft wing structure and its applications,” The Society for Aerospace System Engineering 2023 Spring Conference, May 2023.
  8. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Rapid and accurate large-scale structural analysis by a static condensation reduced basis element method: application to aircraft wing structural analysis,” The Korean Society of Mechanical Engineers 2022 Fall Conference, November 2022.
  9. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Component library-based reconstruction of an aircraft wing structure and a rapid yet accurate structural analysis,” The Korean Society for Aeronautical and Space Sciences 2022 Fall Conference, November 2022.
  10. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Rapid yet accurate elastostatic analysis of a large-scale structure: application to an aircraft wing structure,” The Korean Institute of Military Science and Technology 2022 Spring Conference, June 2022.
  11. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Rapid yet accurate elastostatic analysis and geometric parameterization of an aircraft wing structure,” The Korean Society of Mechanical Engineers 2022 Spring Conference, May 2022.
  12. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “A static condensation reduced basis element method applied to the linear elastostatic analysis of an aircraft wing structure,” Computational Structural Engineering Institute of Korea 2022 Spring Conference, April 2022.
  13. BongSeok Kim, Shinseon Kang, and Kyunghoon Lee, “Rapid yet accurate linear elastostatic analysis of an aircraft wing structure,” The Korean Society for Aeronautical and Space Sciences 2022 Spring Conference, April 2022.