Work

Multiscale prediction of functional self-assembled materials using machine learning: high-performance surfactant molecules

Year: 2018

Type: article

Source: Nanoscale

DOI: 10.1039/c8nr03332c

Authors: Takuya Inokuchi, Na Li, Kei Morohoshi, Noriyoshi Arai

Institutions: Kindai University, Toyota Motor Corporation (Japan), Science and Technology Research Institute, Kindai University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: Japan Society for the Promotion of Science

Award: Molecular Mechanism of Tom's Effect by Self-Assembly of Surfactant Molecules

OpenAlex ID: W2883045336

FWCI: 1.049

Cites: 51

Cited by: 34

Related to: 10