Work

GEOMIND: a hybrid generative artificial intelligence model for geopolymer design and optimization

Year: 2026

Type: article

Abstract: GEOMIND is a hybrid machine learning model trained on an in-house database to recommend optimal geopolymer formulations for user-defined target properties.

Source: Digital Discovery

DOI: 10.1039/d5dd00383k

Authors: Sébastien Rousseau, Assil Bouzid, Sylvie Rossignol, Ameni Gharzouni

Institutions: Centre National de la Recherche Scientifique, XLIM, Centre Européen de la Céramique, Institut de Recherche sur les Céramiques, Université de Limoges

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: diamond

Funder: Agence Nationale de la Recherche

OpenAlex ID: W7163697929

FWCI: 1.116

Cites:

Cited by: 1

Related to: 10