影响力指数

-/100

发表论文2 篇

平均评分3.8

年均产出1.0 篇/年

Seungchan Ko

Assistant Professor@Inha University·韩国·OpenReview

研究方向

Scientific Machine Learning · Numerical Analysis · Partial Differential Equations

Data-free Asymptotics-Informed Operator Networks for Singularly Perturbed PDEs

ICLR 2026Withdrawn

Finite Element Operator Learning for Solving Parametric PDEs without Labeled Data

ICLR 2024Withdrawn

合作者 (4)