Application of Machine Learning to Catalyst Design and Process Design for Methanol Synthesis

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Publication Details

Journal
Journal of the Japan Petroleum Institute
Published
2024-12-31
DOI
https://doi.org/10.1627/jpi.68.10
Primary Topic
Machine Learning in Materials Science
Type
article
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article

Application of Machine Learning to Catalyst Design and Process Design for Methanol Synthesis

Kohji Omata
Journal of the Japan Petroleum Institute
Machine Learning in Materials Science
article

Application of Machine Learning to Catalyst Design and Process Design for Methanol Synthesis

Kohji Omata
article en

Abstract

No abstract available for this paper.
Journal of the Japan Petroleum InstituteVol. 68(1)
Shimane University (JP)
Openalex Percentile: Top 84%
Machine Learning in Materials Science
DOIOpen Access PDFOpenAlex
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Application of Machine Learning to Catalyst Design and Process Design for Methanol Synthesis — Kohji Omata · Journal of the Japan Petroleum Institute (2024) | TGRS Research Map | TGRS