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Integrating Machine Learning and Life Cycle Assessment for Fehling-Inspired Sustainable Synthesis of Cu 2 O Nanowires and ML-Guided Design of Metal Oxide Nanorods

Year: 2026

Type: article

Source: ACS Applied Nano Materials

DOI: 10.1021/acsanm.6c00991

Authors: Soline Beitone, Jean-Luc Parouty, Céline Ternon, Damien Evrard, David Riassetto

Institutions: Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Laboratoire des Sciences pour la Conception, l'Optimisation et la Production, Laboratoire des Matériaux et du Génie Physique, Université Grenoble Alpes, Science et Ingénierie des Matériaux et Procédés

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Responsible consumption and production

Open Access status: closed

Funder: Agence Nationale de la Recherche

Award: G292453335

OpenAlex ID: W7154330037

FWCI: 1.403

Cites: 55

Cited by: 1

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