Publications

My main focus is on machine learning methods for scientific computing (SciML).

Please refer to my Google scholar , and GitHub .

^: equal contribution, +: correspondence.

2026

Dong-Chan Lee, Myeong-Su Lee, Youngjoon Hong, Jaemin Oh, KangWook Lee, and Sooncheol Park, Physics-Informed Neural Networks for the Fully Coupled Electrochemical-Thermal Pseudo-2D Model of Lithium-Ion Batteries, accepted for Journal of Energy Storage.

Jaemin Oh, Youngkyu Lee, Jerome Darbon, and George Em Karniadakis, Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers, submitted. preprint

Jaemin Oh+, On the Effects of Neural Field Reparameterization for 4DVAR, accepted for SIAM Journal on Scientific Computing. preprint/code

Shiqi Zhang, Wuwei Wu, Jaemin Oh, Jie Chen, and Xiaoning Qian+, Perron--Frobenius Operator Matching for Generative Modeling, accepted for IFAC World Congress. preprint

Jinsung Lee, Jaemin Oh, Namhun Kim, Dongwon Kim, Byung-Jun Yoon, and Suha Kwak+, Structured State-Space Regularization for Generation-Friendly Image Tokenization, submitted. preprint

Raj S Roy, Jaemin Oh, ANM Nafiz Abeer, Maria I Giraldo, Tesuro Ikegami, Scott C Weaver, Nikolaos Vasilakis, Byung-Jun Yoon, and Xiaoning Qian+, An integrated computational antigen discovery pipeline with hierarchical filtering for emerging viral variants, NAR Molecular Medicine. paper

Jaemin Oh, Raj S Roy, Xiaoning Qian, and Byung-Jun Yoon+, Rapid sequence-based screening of structure-disrupting protein mutations, submitted. preprint/code

2025

Jaemin Oh, Jinsil Lee, and Youngjoon Hong+, Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems, under revision. preprint/code

Jaemin Oh, Seung Yeon Cho, Seok-Bae Yun, Eunbyung Park, and Youngjoon Hong+, Separable physics-informed neural networks for solving the BGK model of the Boltzmann equation, SIAM Journal on Scientific Computing. paper/preprint/code

Myeong-Su Lee^, Jaemin Oh^, Dong-Chan Lee, KangWook Lee, Sooncheol Park, and Youngjoon Hong+, Forward and inverse simulation of pseudo-two-dimensional model of lithium-ion batteries using neural networks, Computer Methods in Applied Mechanics and Engineering. paper/preprint/Interview (Korean)

Namgyu Kang^, Jaemin Oh^, Youngjoon Hong+, and Eunbyung Park+, PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations, Internation Conference on Learning Representations. paper/code

2024

Daewon Yang et al. and Yeonseung Chung+, Temporal change in minimum mortality temperature under changing climate: A multicountry multicommunity observational study spanning 1986–2015, Environmental Epidemiology. paper