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2026
Neural advection-diffusion equation for long-term climate dynamics
Neurocomputing
Namkyeong Cho, Sung Woong Cho, Youngjoon Hong, Hyung Ju Hwang, Jae Yong Lee, Hwijae Son
FourierSpecNet: Neural collision operator approximation inspired by the Fourier spectral method for solving the Boltzmann equation
Kinetic and Related Models
Jae Yong Lee, Gwang Jae Jung, Byungchan Lim, Hyung Ju Hwang
Offline Data-Driven Recommender Systems for Improving Small Business Marketing Strategies
Big Data
Hwijae Son, Sung Woong Cho, Hyung Ju Hwang
Self-similar solutions of semilinear heat equations with positive speed
Journal of Differential Equations
Kyeongsu Choi, Jiuzhou Huang
Penalized Estimation in Finite Mixtures of Multivariate Regression Models via the EM-PGM Algorithm
Statistics in Medicine
Heeyeon Kang, Sunyoung Shin
WGFINNs: Weak formulation-based GENERIC formalism informed neural networks
Computer Methods in Applied Mechanics and Engineering
Jun Sur Richard Park, Auroni Huque Hashim, Siu Wun Cheung, Youngsoo Choi, Yeonjong Shin
NOEM: efficient and scalable finite element method enabled by reusable neural operators
Nature Computational Science
Weihang Ouyang, Yeonjong Shin, Si-Wei Liu, Lu Lu
A human-guided generative model based on diffusion processes for topology optimization
Journal of Computational Design and Engineering
Eui-Hyun Kim, Yeoneung Kim, Keun Park