Data Driven Determination of Reaction Conditions in Oxidative Coupling of Methane via Machine Learning

ChemCatChem ◽  
2019 ◽  
Vol 11 (17) ◽  
pp. 4307-4313 ◽  
Author(s):  
Junya Ohyama ◽  
Shun Nishimura ◽  
Keisuke Takahashi
ChemCatChem ◽  
2018 ◽  
Vol 10 (15) ◽  
pp. 3223-3228 ◽  
Author(s):  
Keisuke Takahashi ◽  
Itsuki Miyazato ◽  
Shun Nishimura ◽  
Junya Ohyama

ChemCatChem ◽  
2020 ◽  
Vol 12 (23) ◽  
pp. 5888-5892
Author(s):  
Shun Nishimura ◽  
Junya Ohyama ◽  
Takaaki Kinoshita ◽  
Son Dinh Le ◽  
Keisuke Takahashi

ChemCatChem ◽  
2018 ◽  
Vol 10 (15) ◽  
pp. 3135-3135
Author(s):  
Keisuke Takahashi ◽  
Itsuki Miyazato ◽  
Shun Nishimura ◽  
Junya Ohyama

2019 ◽  
Vol 376 ◽  
pp. 25-31 ◽  
Author(s):  
Naseem S. Hayek ◽  
Grace J. Khlief ◽  
Faris Horani ◽  
Oz M. Gazit

Author(s):  
Junya Ohyama ◽  
Takaaki Kinoshita ◽  
Eri Funada ◽  
Hiroshi Yoshida ◽  
Masato Machida ◽  
...  

Direct design of low temperature oxidative coupling of methane catalysts is proposed via machine learning and data mining.


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