Probabilistic Nucleation Models
Probabilistic Nucleation Models is a computational framework in seismology that, within the broader class of earthquake nucleation models, distinguishes itself by incorporating statistical distributions and stochastic processes to quantify uncertainties in the initiation and early evolution of seismic ruptures.
14
Publications
905
Citations
42
Authors
24
Institutions
Publications per year
2017–2026
6
Parents
14
Why large earthquakes do not nucleate at shallow depths
Shamita Das, Christian Scholz · Nature · 1983 · 206 citations
On some probabilistic aspects of the nucleation process
S. Toschev, A. Milchev, S. Stoyanov · Journal of Crystal Growth · 1972 · 138 citations
Pore-Scale Modeling of Nucleation and Growth in Porous Media
Hossein Fazeli, Mohammad Masoudi, Ravi A. Patel et al. · ACS Earth and Space Chemistry · 2020 · 51 citations · Full text
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California Institute of Technology, United States
1 publications · 28 citations
1
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1–5 of 42
24
United States Geological Survey
Reston, United States
2 h-index
2 publications
103 citations

University of Oslo
Oslo, Norway
2 h-index
7 publications
339 citations
Princeton University
Princeton, United States
1 h-index
1 publications
18 citations

Universitat Jaume I
Castellon, Spain
1 h-index
2 publications
24 citations

Lamont-Doherty Earth Observatory
Sparkill, United States
1 h-index
1 publications
206 citations
California Institute of Technology
Pasadena, United States
1 h-index
5 publications
140 citations

University of Belgrade
Belgrade, Serbia
1 h-index
3 publications
36 citations

Gyeongsang National University
Jinju-si, South Korea
1 h-index
1 publications
15 citations
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BSSA · 2 publications · 61 citations
2
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1 publications · 206 citations
1
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1 publications · 51 citations
1
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1 publications · 28 citations
1
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1 publications · 45 citations
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