SNU CBE

Model Reduction and Neural Networks

연구주제 · Statistical and Nonlinear Physics

참여 교수

교수연구분야논문
남재욱고분자 및 유기 소재3
이원보공정시스템 · 고분자 및 유기 소재3
이종민공정시스템2

연결되는 NTIS 분류

화학공정 5

논문 (피인용 순)

연도논문학부 저자피인용
2022Physics-informed deep learning for data-driven solutions of computational fluid dynamics 화학공정 › 공정시스템기술
Korean Journal of Chemical Engineering
이종민59
2024Multiphysics generalization in a polymerization reactor using physics-informed neural networks 화학공정 › 공정시스템기술
Chemical Engineering Science
이원보21
2019Development of surrogate model using CFD and deep neural networks to optimize gas detector layout
Korean Journal of Chemical Engineering
이원보13
2023Physics-informed neural networks for learning fluid flows with symmetry 화학공정 › 공정설비기술
Korean Journal of Chemical Engineering
남재욱10
2025Simultaneous optimization of reactor design and operating conditions using geometry-aware physics-informed neural network 화학공정 › 촉매/반응기술
Chemical Engineering Journal
이원보2
2024Optimizing a Physics-Informed Machine Learning Model for Pulsatile Shear-Thinning Channel Flow 화학공정 › 공정설비기술
Nihon Reoroji Gakkaishi
남재욱1
2025Surrogate modeling of slot-die coating manifold for lithium-ion battery manufacturing using mode extraction methods
Chemical Engineering Science
남재욱, 이종민0

인접 그래프

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이 문서와 연결된 페이지

교수 3

이원보 · 이종민 · 남재욱

논문 7

Surrogate modeling of slot-die coating manifold for lithium-ion batter · Simultaneous optimization of reactor design and operating conditions u · Physics-informed deep learning for data-driven solutions of computatio · Multiphysics generalization in a polymerization reactor using physics- · Development of surrogate model using CFD and deep neural networks to o · Optimizing a Physics-Informed Machine Learning Model for Pulsatile She · Physics-informed neural networks for learning fluid flows with symmetr

학문분야 1

Statistical and Nonlinear Physics