Reviewing the novel machine learning tools for materials design

Amir Mosavi, Timon Rabczuk, A. Várkonyi-Kóczy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Computational materials design is a rapidly evolving field of challenges and opportunities aiming at development and application of multi-scale methods to simulate, predict and select innovative materials with high accuracy. Today the latest advancements in machine learning, deep learning, internet of things (IoT), big data, and intelligent optimization have highly revolutionized the computational methodologies used for materials design innovation. Such novelties in computation enable the development of problem-specific solvers with vast potential applications in industry and business. This paper reviews the state of the art of technological advancements that machine learning tools, in particular, have brought for materials design innovation. Further via presenting a case study the potential of such novel computational tools are discussed for the virtual design and simulation of innovative materials in modeling the fundamental properties and behavior of a wide range of multi-scale materials design problems.

Original languageEnglish
Title of host publicationRecent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017
PublisherSpringer Verlag
Pages50-58
Number of pages9
ISBN (Print)9783319674582
DOIs
Publication statusPublished - Jan 1 2018
Event16th International Conference on Global Research and Education Inter-Academia, 2017 - Iasi, Romania
Duration: Sep 25 2017Sep 28 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume660
ISSN (Print)2194-5357

Other

Other16th International Conference on Global Research and Education Inter-Academia, 2017
CountryRomania
CityIasi
Period9/25/179/28/17

Fingerprint

Learning systems
Innovation
Industry

Keywords

  • Machine learning
  • Materials design
  • Optimization

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Mosavi, A., Rabczuk, T., & Várkonyi-Kóczy, A. (2018). Reviewing the novel machine learning tools for materials design. In Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017 (pp. 50-58). (Advances in Intelligent Systems and Computing; Vol. 660). Springer Verlag. https://doi.org/10.1007/978-3-319-67459-9_7

Reviewing the novel machine learning tools for materials design. / Mosavi, Amir; Rabczuk, Timon; Várkonyi-Kóczy, A.

Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Springer Verlag, 2018. p. 50-58 (Advances in Intelligent Systems and Computing; Vol. 660).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mosavi, A, Rabczuk, T & Várkonyi-Kóczy, A 2018, Reviewing the novel machine learning tools for materials design. in Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Advances in Intelligent Systems and Computing, vol. 660, Springer Verlag, pp. 50-58, 16th International Conference on Global Research and Education Inter-Academia, 2017, Iasi, Romania, 9/25/17. https://doi.org/10.1007/978-3-319-67459-9_7
Mosavi A, Rabczuk T, Várkonyi-Kóczy A. Reviewing the novel machine learning tools for materials design. In Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Springer Verlag. 2018. p. 50-58. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-67459-9_7
Mosavi, Amir ; Rabczuk, Timon ; Várkonyi-Kóczy, A. / Reviewing the novel machine learning tools for materials design. Recent Advances in Technology Research and Education - Proceedings of the 16th International Conference on Global Research and Education Inter-Academia 2017. Springer Verlag, 2018. pp. 50-58 (Advances in Intelligent Systems and Computing).
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