Toward Effective Utilization of Methane: Machine Learning Prediction of Adsorption Energies on Metal Alloys-Reference-Cited by-同舟云学术

Toward Effective Utilization of Methane: Machine Learning Prediction of Adsorption Energies on Metal Alloys

Author:

Toyao Takashi¹²^ORCID,Suzuki Keisuke³,Kikuchi Shoma³,Takakusagi Satoru¹,Shimizu Ken-ichi¹²^ORCID,Takigawa Ichigaku³⁴

Affiliation:

1. Institute for Catalysis, Hokkaido University, N-21, W-10, Sapporo 001-0021, Japan

2. Elements Strategy Initiative for Catalysts and Batteries, Kyoto University, Katsura, Kyoto 615-8520, Japan

3. Graduate School of Information Science and Technology, Hokkaido University, N-14, W-9, Sapporo 060-0814, Japan

4. PRESTO, Japan Science and Technology Agency (JST), 4-1-8, Honcho, Kawaguchi, Saitama 332-0012, Japan

Funder

Ministry of Education, Culture, Sports, Science and Technology

Core Research for Evolutional Science and Technology

Precursory Research for Embryonic Science and Technology

Japan Society for the Promotion of Science

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Link

Reference95 articles.

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