Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Dimiduk, Dennis M.; Holm, Elizabeth A.; Niezgoda, Stephen R.

doi:10.1007/s40192-018-0117-8

Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

Journal Article · Mon Aug 27 00:00:00 EDT 2018 · Integrating Materials and Manufacturing Innovation

DOI:https://doi.org/10.1007/s40192-018-0117-8· OSTI ID:1619405

; Holm, Elizabeth A.; Niezgoda, Stephen R.

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Sponsoring Organization:: USDOE

Grant/Contract Number:: FE0027776

OSTI ID:: 1619405

Journal Information:: Integrating Materials and Manufacturing Innovation, Journal Name: Integrating Materials and Manufacturing Innovation Journal Issue: 3 Vol. 7; ISSN 2193-9764

Publisher:: Springer Science + Business MediaCopyright Statement

Country of Publication:: Germany

Language:: English

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New opportunities for materials informatics: Resources and data mining techniques for uncovering hidden relationships Jain, Anubhav; Hautier, Geoffroy; Ong, Shyue Ping Journal of Materials Research, Vol. 31, Issue 8 https://doi.org/10.1557/jmr.2016.80	journal	April 2016
Microstructural informatics for accelerating the discovery of processing–microstructure–property relationships Wodo, Olga; Broderick, Scott; Rajan, Krishna MRS Bulletin, Vol. 41, Issue 08 https://doi.org/10.1557/mrs.2016.161	journal	August 2016
The need for microstructure informatics in process–structure–property relations McDowell, David L.; LeSar, Richard A. MRS Bulletin, Vol. 41, Issue 08 https://doi.org/10.1557/mrs.2016.163	journal	August 2016
Role of materials data science and informatics in accelerated materials innovation Kalidindi, Surya R.; Brough, David B.; Li, Shengyen MRS Bulletin, Vol. 41, Issue 08 https://doi.org/10.1557/mrs.2016.164	journal	August 2016
Multiscale modeling of microstructure–property relations Geers, M. G. D.; Yvonnet, J. MRS Bulletin, Vol. 41, Issue 08 https://doi.org/10.1557/mrs.2016.165	journal	August 2016
A Supervised Learning Approach for Dynamic Sampling Godaliyadda, G. M. Dilshan; Ye, Dong Hye; Uchic, Michael D. Electronic Imaging, Vol. 2016, Issue 19 https://doi.org/10.2352/ISSN.2470-1173.2016.19.COIMG-153	journal	February 2016
SLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks Zhang, Yan; Godaliyadda, G. M. Dilshan; Ferrier, Nicola Electronic Imaging, Vol. 2018, Issue 15 https://doi.org/10.2352/ISSN.2470-1173.2018.15.COIMG-131	journal	January 2018
Microstructure Recognition by Deep Learning [ディープラーニングによる組織識別率の検証] Adachi, Yoshitaka; Taguchi, Motoki; Hirokawa, Shogo Tetsu-to-Hagane, Vol. 102, Issue 12 https://doi.org/10.2355/tetsutohagane.TETSU-2016-035	journal	January 2016
Methodology for Path Planning with Dynamic Data-Driven Flight Capability Estimation Singh, Victor; Willcox, Karen E. AIAA Journal, Vol. 55, Issue 8 https://doi.org/10.2514/1.J055551	journal	August 2017

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