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The Future of Materials Science with AI: Self-Driving Laboratories and Closed-Loop Discovery

Year: 2025

Type: preprint

Source: SSRN Electronic Journal

DOI: 10.2139/ssrn.5480608

Authors: Dilshod Nematov, Iskandar Raufov

Institutions: Chongqing University of Posts and Telecommunications, Academy of Sciences of the Republic of Tajikistan, S. U. Umarov Physical-Technical Institute

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: green

OpenAlex ID: W4414784932

Cites: 11

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