Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Ahmet Cecen"'
A new framework for rotationally invariant two-point spatial correlations in microstructure datasets
Publikováno v:
Acta Materialia. 158:53-64
Quantification of the material internal structure (i.e., microstructure) is central to establishing the highly sought-after process-structure-property (PSP) relationships central to any materials design effort. In recent years, two-point spatial corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a00d08a1ed70e6adeb313269c932f42
https://doi.org/10.1016/j.actamat.2018.07.056
https://doi.org/10.1016/j.actamat.2018.07.056
Publikováno v:
Acta Materialia. 146:76-84
The core materials knowledge needed in the accelerated design, development, and deployment of new and improved materials is most accessible when cast in the form of computationally low cost (reduced-order) and reliable process-structure-property (PSP
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c5ba49e776f5c2b109964b0cad55a70
https://doi.org/10.1016/j.actamat.2017.11.053
https://doi.org/10.1016/j.actamat.2017.11.053
Publikováno v:
Journal of Composites Science, Vol 5, Iss 211, p 211 (2021)
Journal of Composites Science
Volume 5
Issue 8
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
https://doi.org/10.3390/jcs5080211
Publikováno v:
Acta Materialia. 132:374-388
We extend the existing framework [1–4] of two-point spatial correlations to allow for the quantification, analyses, interpretation and visualization of microstructure coarsening measured by time-resolved X-ray computed tomography. Specifically, ext
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::618aab14e63cdd291608e4cf1dc6ea0d
https://doi.org/10.1016/j.actamat.2017.04.054
https://doi.org/10.1016/j.actamat.2017.04.054
Publikováno v:
Acta Materialia. 123:55-69
Process-structure-property (PSP) linkages are central to the development and deployment of advanced materials in emerging technologies. Conventional approaches for establishing these are generally highly customized, qualitative, and demand major inve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5c76084f4be1e4e70c6e228e2ec3216
https://doi.org/10.1016/j.actamat.2016.10.033
https://doi.org/10.1016/j.actamat.2016.10.033
Autor:
Surya R. Kalidindi, Aleksandr Blekh, Faical Y. Congo, Shengyen Li, Ahmet Cecen, David B. Brough, Carelyn E. Campbell
Publikováno v:
MRS Bulletin. 41:596-602
The goal of the Materials Genome Initiative is to substantially reduce the time and cost of materials design and deployment. Achieving this goal requires taking advantage of the recent advances in data and information sciences. This critical need has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfe67ed22a0a3e3055af19ff7a748fda
https://doi.org/10.1557/mrs.2016.164
https://doi.org/10.1557/mrs.2016.164
Publikováno v:
Acta Materialia. 91:239-254
Practical multiscale materials design is contingent on the availability of robust and reliable reduced-order linkages (i.e., surrogate models) between the material internal structure and its associated macroscale properties of interest. Traditional a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5041dcfcf1f5fdff1845aca257a69354
https://doi.org/10.1016/j.actamat.2015.02.045
https://doi.org/10.1016/j.actamat.2015.02.045
Autor:
Evdokia Popova, Jonathan D. Madison, Theron Rodgers, Ahmet Cecen, Xinyi Gong, Surya R. Kalidindi
A novel data science workflow is developed and demonstrated to extract process-structure linkages (i.e., reduced-order model) for microstructure evolution problems when the final microstructure depends on (simulation or experimental) processing param
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3adfcc1b92466bf54549edcea0fc134
https://europepmc.org/articles/PMC6946012/
https://europepmc.org/articles/PMC6946012/
Autor:
Ankit Agrawal, Parijat Deshpande, Surya R. Kalidindi, Ahmet Cecen, Gautham P Basavarsu, Alok Choudhary
Publikováno v:
Integrating Materials and Manufacturing Innovation. 3:90-108
This paper describes the use of data analytics tools for predicting the fatigue strength of steels. Several physics-based as well as data-driven approaches have been used to arrive at correlations between various properties of alloys and their compos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c56864a8589456d0a018054579cbc903
https://doi.org/10.1186/2193-9772-3-8
https://doi.org/10.1186/2193-9772-3-8
Publikováno v:
Journal of Power Sources. 245:144-153
The diffusion media (DM) has been shown to be a vital component for performance of polymer electrolyte fuel cells (PEFCs). The DM has a dual-layer structure composed of a macro-substrate referred to as the gas diffusion layer (GDL) coated with a micr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9dac59e41b9af40a60dae3d74e4be0fd
https://doi.org/10.1016/j.jpowsour.2013.06.100
https://doi.org/10.1016/j.jpowsour.2013.06.100