Work

Data Science Meets Ziegler–Natta Catalysis to Design High-Performance Lewis Bases for Isotactic Polypropylene Production

Year: 2025

Type: article

Source: ACS Catalysis

DOI: 10.1021/acscatal.5c00919

Authors: Ziyun Zhang, Laura Falivene, Gentoku Takasao, Giampiero Morini, Alessandro Mignogna, Luigi Cavallo

Institutions: King Abdullah University of Science and Technology, University of Salerno, LyondellBasell (Italy)

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

Funder: King Abdullah University of Science and Technology

Awards: G1061590645, G5424104218

OpenAlex ID: W4410040884

FWCI: 0.636

Cites: 61

Cited by: 3

Related to: 10