Data-driven Equation Of State Modeling
Data-Driven Equation of State Modeling is a computational modeling approach within thermodynamic theory that constructs equations of state directly from empirical or simulated data using statistical and machine learning techniques, distinguishing it from traditional methods reliant on analytical physical assumptions.
51
Publications
3.1K
Citations
185
Authors
103
Institutions
Publications per year
2017–2026
33
Parents
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185
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103

Paderborn University
Paderborn, Germany
3 h-index
6 publications
187 citations
University of Washington
Seattle, United States
2 h-index
2 publications
96 citations
North Carolina State University
Raleigh, United States
2 h-index
4 publications
264 citations

Northeastern University
Shenyang, China
2 h-index
5 publications
193 citations
Purdue University West Lafayette
West Lafayette, United States
2 h-index
2 publications
62 citations

Centre National de la Recherche Scientifique
Paris, France
2 h-index
6 publications
154 citations
Ruhr University Bochum
Bochum, Germany
2 h-index
5 publications
168 citations

University of Padua
Padua, Italy
2 h-index
4 publications
1K citations
1–8 of 103
6 publications · 223 citations
6
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3 publications · 215 citations
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3 publications · 69 citations
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2 publications · 57 citations
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2 publications · 119 citations
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1–5