Work

High-Throughput Optimization of a High-Pressure Catalytic Reaction

Year: 2025

Type: article

Source: Journal of Chemical Information and Modeling

DOI: 10.1021/acs.jcim.4c02273

Authors: Yusuke Tanabe, Hiroki Sugisawa, Tomohisa Miyazawa, Kazuhiro Hotta, Kazuya Shiratori, Tadahiro Fujitani

Institutions: Mitsubishi Chemical (Japan), National Institute of Advanced Industrial Science and Technology

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4407782420

FWCI: 1.06

Cites: 26

Cited by: 5

Related to: 10