{"title":"封面特征:机器学习辅助制备石墨烯负载Cu-Zn催化剂用于CO2加氢制甲醇(化学)。亚洲J. 13/2025)","authors":"Nuttapon Pisitpipathsin, Krittapong Deshsorn, Varisara Deerattrakul, Pawin Iamprasertkun","doi":"10.1002/asia.202581303","DOIUrl":null,"url":null,"abstract":"<p>This study integrates machine learning with experimental validation to optimize Cu-Zn catalysts supported on nitrogen-doped graphene for CO<sub>2</sub> hydrogenation to methanol. Nitrogen doping enhances catalyst reduction and space-time yield, while decision tree analysis identifies key synthesis parameters, enabling efficient, data-driven catalyst design for improved performance and sustainability. More details can be found in article number e202500011 by Pawin Iamprasertkun and co-workers.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":145,"journal":{"name":"Chemistry - An Asian Journal","volume":"20 13","pages":""},"PeriodicalIF":3.5000,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asia.202581303","citationCount":"0","resultStr":"{\"title\":\"Cover Feature: Machine Learning Assisted for Preparation of Graphene Supported Cu-Zn Catalyst for CO2 Hydrogenation to Methanol (Chem. Asian J. 13/2025)\",\"authors\":\"Nuttapon Pisitpipathsin, Krittapong Deshsorn, Varisara Deerattrakul, Pawin Iamprasertkun\",\"doi\":\"10.1002/asia.202581303\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>This study integrates machine learning with experimental validation to optimize Cu-Zn catalysts supported on nitrogen-doped graphene for CO<sub>2</sub> hydrogenation to methanol. Nitrogen doping enhances catalyst reduction and space-time yield, while decision tree analysis identifies key synthesis parameters, enabling efficient, data-driven catalyst design for improved performance and sustainability. More details can be found in article number e202500011 by Pawin Iamprasertkun and co-workers.\\n\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":145,\"journal\":{\"name\":\"Chemistry - An Asian Journal\",\"volume\":\"20 13\",\"pages\":\"\"},\"PeriodicalIF\":3.5000,\"publicationDate\":\"2025-07-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asia.202581303\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Chemistry - An Asian Journal\",\"FirstCategoryId\":\"1\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/asia.202581303\",\"RegionNum\":3,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry - An Asian Journal","FirstCategoryId":"1","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/asia.202581303","RegionNum":3,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Cover Feature: Machine Learning Assisted for Preparation of Graphene Supported Cu-Zn Catalyst for CO2 Hydrogenation to Methanol (Chem. Asian J. 13/2025)
This study integrates machine learning with experimental validation to optimize Cu-Zn catalysts supported on nitrogen-doped graphene for CO2 hydrogenation to methanol. Nitrogen doping enhances catalyst reduction and space-time yield, while decision tree analysis identifies key synthesis parameters, enabling efficient, data-driven catalyst design for improved performance and sustainability. More details can be found in article number e202500011 by Pawin Iamprasertkun and co-workers.
期刊介绍:
Chemistry—An Asian Journal is an international high-impact journal for chemistry in its broadest sense. The journal covers all aspects of chemistry from biochemistry through organic and inorganic chemistry to physical chemistry, including interdisciplinary topics.
Chemistry—An Asian Journal publishes Full Papers, Communications, and Focus Reviews.
A professional editorial team headed by Dr. Theresa Kueckmann and an Editorial Board (headed by Professor Susumu Kitagawa) ensure the highest quality of the peer-review process, the contents and the production of the journal.
Chemistry—An Asian Journal is published on behalf of the Asian Chemical Editorial Society (ACES), an association of numerous Asian chemical societies, and supported by the Gesellschaft Deutscher Chemiker (GDCh, German Chemical Society), ChemPubSoc Europe, and the Federation of Asian Chemical Societies (FACS).