AI for Materials Discovery

Artificial IntelligenceUpdated Jul 30, 2026Version v1

Evidence

Public papers linked to this topic and used as evidence for gaps, timelines, and knowledge views.

17 papers

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Showing 1-12 of total 17 evidence records.

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2026CrossrefDirectly related0 citations

Matter - AI A Multimodal AI Framework for Accelerated Materials Discovery in Physical Sciences

Prudvi Saisaran Ponduru

Jun 14, 2026International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences

2026CrossrefDirectly related1 citations

Generative Design for Alloys: Harnessing Generative Models for Faster Discovery

Cheng Li; Yuehui Xian; Yumei Zhou; Xiangdong Ding; Jun Sun; Dezhen Xue

May 1, 2026Advanced Materials

2026CrossrefDirectly related0 citations

Multi-fidelity learning in materials informatics: methodologies, applications, and outlook

Bo Wang; Yangyang Xu; Yumei Zhou; Dezhen Xue

Mar 30, 2026Journal of Materials Informatics

2026PubMedDirectly related

Efficient and valid large molecule generation via self-supervised generative models.

Kwak D; Chowdhury MR; Yoon BJ; Qian X

Jan 1, 2026npj drug discovery

2026PubMedDirectly related

Statistical AI Enables Precise Screening of Multielement Catalysts.

Li C; Li M; Ran N; Lv Y; Zhou W; Liu J

Jan 1, 2026Journal of the American Chemical Society

2026CrossrefDirectly related25 citations

Machine Learning for Accelerating Energy Materials Discovery: Bridging Quantum Accuracy with Computational Efficiency

Kwang S. Kim

Jan 1, 2026Advanced Energy Materials

2025CrossrefDirectly related1 citations

From large language models to AI agents in energy materials research: enabling discovery, design, and automation

Tongao Yao; Junming Huang; Yujie Yan; Yang Yang; Ziye Wang; Xuqiang Shao; Zhengyang Gao; Weijie Yang

Dec 19, 2025AI Agent

2025CrossrefDirectly related10 citations

Artificial Intelligence and Generative Models for Materials Discovery: A Review

Albertus Denny Handoko; Riko I Made

Jan 1, 2025World Scientific Annual Review of Functional Materials

2024CrossrefDirectly related5 citations

Predictive models for inorganic materials thermoelectric properties with machine learning

Delchere Don-tsa; Messanh Agbeko Mohou; Kossi Amouzouvi; Malik Maaza; Katawoura Beltako

Sep 1, 2024Machine Learning: Science and Technology

2024OpenAlexDirectly related109 citations

Accelerating Computational Materials Discovery with Machine Learning and Cloud High-Performance Computing: from Large-Scale Screening to Experimental Validation

Chi Chen; Dan Thien Nguyen; Shannon Lee; Nathan Baker; Ajay Karakoti; Linda Lauw; Craig Owen; Karl T. Mueller; Brian A. Bilodeau; Vijayakumar Murugesan; Matthias Troyer

Jul 9, 2024Journal of the American Chemical Society