Data-driven Materials Selection
Data-Driven Materials Selection is a systematic methodology within sustainable materials selection that leverages empirical data, computational analytics, and predictive modeling to objectively prioritize materials based on performance, environmental impact, and lifecycle criteria, distinguishing it from heuristic or experience-based selection approaches.
90
Publications
5.8K
Citations
244
Authors
127
Institutions
Publications per year
2017–2026
28
90
Selection strategies for materials and processes
Michael F. Ashby, Yves Bréchet, David Cebon et al. · Materials & Design (1980-2015) · 2003 · 407 citations
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Massachusetts Institute of Technology
Cambridge, United States
4 h-index
7 publications
219 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
5 publications
882 citations

Jadavpur University
Kolkata, India
3 h-index
5 publications
612 citations
Islamic Azad University Semnan
Semnan, Iran
3 h-index
4 publications
642 citations

KTH Royal Institute of Technology
Stockholm, Sweden
3 h-index
5 publications
109 citations

Aston University
Birmingham, United Kingdom
3 h-index
3 publications
526 citations
Shri Mata Vaishno Devi University
Katra, India
2 h-index
2 publications
497 citations
Duke University
Durham, United States
2 h-index
5 publications
220 citations
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25 publications · 2.8K citations
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4 publications · 520 citations
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Repository · 3 publications · 40 citations
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2 publications · 43 citations
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MST · 2 publications · 114 citations
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