Výsledky vyhledávání - "Berkay Yucel"

How important is microstructural feature selection for data-driven structure-property mapping?

Autor: Hao Liu, Berkay Yucel, Daniel Wheeler, Baskar Ganapathysubramanian, Surya R. Kalidindi, Olga Wodo

Publikováno v: MRS Communications. 12:95-103

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::33bc6c9a892b2032519635efa2aa152a
https://doi.org/10.1557/s43579-021-00147-4

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Mining the Correlations Between Optical Micrographs and Mechanical Properties of Cold-Rolled HSLA Steels Using Machine Learning Approaches

Autor: Sezen Yucel, Berkay Yucel, Surya R. Kalidindi, Lode Duprez, A. Ray

Publikováno v: Integrating Materials and Manufacturing Innovation. 9:240-256

This paper demonstrates the feasibility of extracting quantitative linkages between optical micrographs and mechanical properties of cold-rolled HSLA (high-strength low alloy) steels measured in standardized tension tests. These linkages were establi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a6181fb81e8f5e93df2aee52a007ada0
https://doi.org/10.1007/s40192-020-00183-3

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Data Infrastructure Elements in Support of Accelerated Materials Innovation: ELA, PyMKS, and MATIN

Autor: Surya R. Kalidindi, Apaar Shanker, Berkay Yucel, Aleksandr Blekh, Ali Khosravani

Publikováno v: Integrating Materials and Manufacturing Innovation. 8:441-454

Materials data management, analytics, and e-collaborations have been identified as three of the main technological gaps currently hindering the realization of the accelerated development and deployment of advanced materials targeted by the federal ma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75e3a09c7f461620a43089dfc098025e
https://doi.org/10.1007/s40192-019-00156-1

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A Generalized and Modular Framework for Digital Generation of Composite Microstructures

Autor: Berkay Yucel, Surya R. Kalidindi, Ahmet Cecen

Publikováno v: Journal of Composites Science, Vol 5, Iss 211, p 211 (2021)
Journal of Composites Science
Volume 5
Issue 8

This paper presents a generalized framework for the digital generation of composite microstructures using filter-based approaches that can devise and utilize a wide variety of cost functions reflecting the desired targets on geometrical and statistic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4b3b770ecf5fa76eb95b76eb08b332f
https://doi.org/10.3390/jcs5080211

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