Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining
Direct design of active catalysts for low temperature oxidative coupling of methane via machine learning and data mining
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DOI：
10.1039/d0cy01751e
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发表时间：
2021
影响因子：
5
通讯作者：
Junya Ohyama;Takaaki Kinoshita;Eri Funada;H. Yoshida;M. Machida;S. Nishimura;T. Uno;J. Fujima;Itsuki Miyazato;Lauren Takahashi;Keisuke Takahashi
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文献类型：
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作者：
Junya Ohyama;Takaaki Kinoshita;Eri Funada;H. Yoshida;M. Machida;S. Nishimura;T. Uno;J. Fujima;Itsuki Miyazato;Lauren Takahashi;Keisuke Takahashi
提出了基于机器学习和数据挖掘的甲烷低温氧化偶联催化剂直接设计方法。
Direct design of low temperature oxidative coupling of methane catalysts is proposed via machine learning and data mining.