Reaction condition optimization for non-oxidative conversion of methane using artificial intelligence-Reference-Cited by-同舟云学术

Reaction condition optimization for non-oxidative conversion of methane using artificial intelligence

Published:2021 Issue:2 Volume:6 Page:235-243
ISSN:2058-9883
Container-title:Reaction Chemistry & Engineering
language:en
Short-container-title:React. Chem. Eng.

Author:

Kim Hyun Woo¹²³⁴^ORCID,Lee Sung Woo⁵⁶³⁴,Na Gyoung S.¹²³⁴^ORCID,Han Seung Ju⁵⁶³⁴,Kim Seok Ki⁵⁶³⁴⁷^ORCID,Shin Jung Ho¹²³⁴,Chang Hyunju¹²³⁴^ORCID,Kim Yong Tae⁵⁶³⁴^ORCID

Affiliation:

1. Chemical Data-Driven Research Center

2. Korea Research Institute of Chemical Technology (KRICT)

3. Daejeon 34114

4. Korea

5. C1 Gas & Carbon Convergent Research Center

6. Korea Research Institute of Chemical Technology

7. Advanced Materials and Chemical Engineering

Abstract

Using machine learning and metaheuristic optimization, we optimize the reaction conditions for non-oxidative conversion of methane.

Funder

Korea Research Institute of Chemical Technology

Ministry of Science ICT and Future Planning

Publisher

Royal Society of Chemistry (RSC)

Subject

Fluid Flow and Transfer Processes,Process Chemistry and Technology,Chemical Engineering (miscellaneous),Chemistry (miscellaneous),Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2021/RE/D0RE00378F

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