Stochastic Relaxation Processes
Stochastic Relaxation Processes is a theoretical framework in statistical physics and dynamical systems that describes the time evolution of systems approaching equilibrium through random, probabilistically governed transitions, distinguished from deterministic relaxation mechanisms by its incorporation of intrinsic noise and fluctuation-driven dynamics.
331
Publications
37.1K
Citations
668
Authors
387
Institutions
Publications per year
2017–2026
39
Parents
331
Stochastic Liouville Equations
Ryogo Kubo · Journal of Mathematical Physics · 1963 · 1K citations
Dynamic density functional theory of fluids
The Journal of Chemical Physics · 1999 · 624 citations · Full text
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Wrocław University of Science and Technology, Poland
4 publications · 114 citations
4
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4
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4
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387

Centre National de la Recherche Scientifique
Paris, France
13 h-index
35 publications
2.3K citations

Wrocław University of Science and Technology
Wroclaw, Poland
8 h-index
18 publications
529 citations
The University of Tokyo
Tokyo, Japan
7 h-index
10 publications
1.8K citations
Institute of Physics
Warsaw, Poland
7 h-index
12 publications
316 citations
Brown University
Providence, United States
7 h-index
10 publications
20.2K citations
Institute of Mathematics
Warsaw, Poland
6 h-index
11 publications
287 citations
Technion – Israel Institute of Technology
Haifa, Israel
6 h-index
9 publications
265 citations
Columbia University
New York, United States
5 h-index
9 publications
652 citations
1–8 of 387
33 publications · 2.1K citations
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PRL · 21 publications · 1.4K citations
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PRE · 16 publications · 701 citations
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PRE · 12 publications · 713 citations
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10 publications · 448 citations
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