Work

Comparative evaluation of deep learning architectures for surrogate modeling of the dynamic process: Case study for boil-off gas reliquefaction process

Year: 2026

Type: article

Source: Computers & Chemical Engineering

DOI: 10.1016/j.compchemeng.2026.109643

Authors: Jae Hyun An, Hyunjun Shin, Wonjae Choi, Jong Woo Kim

Institution: Incheon National University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: green

Funders: Incheon National University, Ministry of Education, National Research Foundation of Korea

Award: G849473927

OpenAlex ID: W7140162433

FWCI: 3.395

Cites: 55

Cited by: 1

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