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AI for Materials Discovery

Artificial IntelligenceUpdated Jul 30, 2026Version v1

Knowledge Timeline Gaps (1)Evidence (40)Community (0)

Evidence

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

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All40 Core17 Supporting23 Background0

Showing 25-36 of total 40 evidence records.

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2023CrossrefDirectly related45 citations

Machine Learning Approches for Evaluating the Properties of Materials

Nanna Ahlmann Ahm

Jun 10, 2023Journal of Computational Intelligence in Materials Science

2023OpenAlexSupporting evidence58 citations

Methods, progresses, and opportunities of materials informatics

Chen Li; Kun Zheng

Jun 1, 2023InfoMat

2022CrossrefSupporting evidence116 citations

Data-driven discovery of 2D materials by deep generative models

Peder Lyngby; Kristian Sommer Thygesen

Nov 11, 2022npj Computational Materials

2022OpenAlexDirectly related332 citations

Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo; Juan Lavista Ferres; Tonio Buonassisi; Keith T. Butler

Jun 3, 2022Accounts of Materials Research

2022OpenAlexSupporting evidence51 citations

MaterialsAtlas.org: a materials informatics web app platform for materials discovery and survey of state-of-the-art

Jianjun Hu; Stanislav Stefanov; Yuqi Song; Sadman Sadeed Omee; Steph-Yves Louis; Edirisuriya M. Dilanga Siriwardane; Yong Zhao; Lai Wei

Apr 11, 2022npj Computational Materials

2022CrossrefDirectly related99 citations

Deep Generative Models for Materials Discovery and Machine Learning-Accelerated Innovation

Addis S. Fuhr; Bobby G. Sumpter

Mar 22, 2022Frontiers in Materials

2021OpenAlexSupporting evidence85 citations

Encoding the atomic structure for machine learning in materials science

Shunning Li; Yuanji Liu; Dong Chen; Yi Jiang; Zhiwei Nie; Feng Pan

Jun 18, 2021Wiley Interdisciplinary Reviews Computational Molecular Science

2021OpenAlexSupporting evidence79 citations

Computational Discovery of New 2D Materials Using Deep Learning Generative Models

Yuqi Song; Edirisuriya M. Dilanga Siriwardane; Yong Zhao; Jianjun Hu

May 14, 2021ACS Applied Materials & Interfaces

2020CrossrefSupporting evidence11 citations

Predictive Modeling of Critical Temperatures in Superconducting Materials

Natalia Sizochenko; Markus Hofmann

Dec 22, 2020Molecules

2019OpenAlexSupporting evidence2,421 citations

Recent advances and applications of machine learning in solid-state materials science

Jonathan Schmidt; Mário R. G. Marques; Silvana Botti; Miguel A. L. Marques

Aug 8, 2019npj Computational Materials

2019CrossrefSupporting evidence220 citations

Genetic algorithms for computational materials discovery accelerated by machine learning

Paul C. Jennings; Steen Lysgaard; Jens Strabo Hummelshøj; Tejs Vegge; Thomas Bligaard

Apr 10, 2019npj Computational Materials

2019OpenAlexSupporting evidence64 citations

Materials Informatics for Heat Transfer: Recent Progresses and Perspectives

Shenghong Ju; Junichiro Shiomi

Feb 19, 2019Nanoscale and Microscale Thermophysical Engineering

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AI for Materials Discovery — Research Evidence and Topic Memory | Kritoma