Search Results for author: Seick Kim

Found 2 papers, 0 papers with code

Learning Green's functions associated with time-dependent partial differential equations

no code implementations27 Apr 2022 Nicolas Boullé, Seick Kim, Tianyi Shi, Alex Townsend

Neural operators are a popular technique in scientific machine learning to learn a mathematical model of the behavior of unknown physical systems from data.

Green's function for second order parabolic equations with singular lower order coefficients

no code implementations9 Sep 2020 Seick Kim, Longjuan Xu

We construct Green's functions for second order parabolic operators of the form $Pu=\partial_t u-{\rm div}({\bf A} \nabla u+ \boldsymbol{b}u)+ \boldsymbol{c} \cdot \nabla u+du$ in $(-\infty, \infty) \times \Omega$, where $\Omega$ is an open connected set in $\mathbb{R}^n$.

Analysis of PDEs

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