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Interpretable and Explainable Machine Learning for Materials Science and Chemistry

Felipe Oviedo, Juan Lavista Ferres, Tonio Buonassisi, Keith T. Butler • Accounts of Materials Research (2022)

High Resolution Image Download MS PowerPoint Slide Conspectus Machine learning has become a common and powerful tool in materials research. As more data become available, with the use of high-performance computing and high-throughput experi...

OPENALEX cc-by DOI: https://doi.org/10.1021/accountsmr.1c00244

Machine Learning‐Driven Biomaterials Evolution

Ady Suwardi, Fuke Wang, Kun Xue, Ming‐Yong Han et al. • Advanced Materials (2021)

Biomaterials is an exciting and dynamic field, which uses a collection of diverse materials to achieve desired biological responses. While there is constant evolution and innovation in materials with time, biomaterials research has been ham...

OPENALEX DOI: https://doi.org/10.1002/adma.202102703

Opportunities and Challenges for Machine Learning in Materials Science

Dane D. Morgan, Ryan Jacobs • Annual Review of Materials Research (2020)

Advances in machine learning have impacted myriad areas of materials science, such as the discovery of novel materials and the improvement of molecular simulations, with likely many more important developments to come. Given the rapid chang...

OPENALEX Open Access DOI: https://doi.org/10.1146/annurev-matsci-070218-010015

Machine Learning in Materials Science

Tim Mueller, Aaron Gilad Kusne, Rampi Ramprasad • Reviews in computational chemistry (2016)

This chapter addresses the role that data-driven approaches, especially machine learning methods, are expected to play in materials research in the immediate future. Machine learning, an important part of artificial intelligence, has made m...

OPENALEX DOI: https://doi.org/10.1002/9781119148739.ch4

Machine learning in materials science

Jing Wei, Xuan Chu, Xiangyu Sun, Kun Xu et al. • InfoMat (2019)

Abstract Traditional methods of discovering new materials, such as the empirical trial and error method and the density functional theory (DFT)‐based method, are unable to keep pace with the development of materials science today due to the...

OPENALEX cc-by DOI: https://doi.org/10.1002/inf2.12028