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Machine‐Learning‐Enabled Structural Design and Optimization of Methanol Reforming Hydrogen Reactors

Year: 2025

Type: article

Source: Chemie Ingenieur Technik

DOI: 10.1002/cite.70050

Authors: Miao Qian, Le Liu, Yuzhen Xu, Zhenhao Dong, Zhong Xiang, Weitao Wu

Institution: Zhejiang Sci-Tech University

Language: English

Topic: Catalysts for Methane Reforming

Subfield: Catalysis

Field: Chemical Engineering

Domain: Physical Sciences

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

Open Access status: closed

Funder: National Key Research and Development Program of China

Award: G3450140738

OpenAlex ID: W4416775317

FWCI: 0.138

Cites: 27

Cited by: 1

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