Quenched Large Deviations

Quenched Large Deviations is a large deviation principle that characterizes the exponential decay of probabilities for rare events in disordered systems, where the randomness is frozen (quenched) and averages are taken over thermal fluctuations while preserving the disorder configuration.

171

Publications

9.5K

Citations

258

Authors

219

Institutions

Publications per year

2017–2026

18

Authors

258

  1. SR
    S. R. S. Varadhan

    Courant Institute of Mathematical Sciences, United States

    5 publications · 291 citations

    5

    h-index

  2. AY
    Atilla Yilmaz

    University of Wisconsin–Madison, United States

    5 publications · 207 citations

    5

    h-index

  3. FR
    Firas Rassoul‐Agha

    University of Wisconsin–Madison, United States

    5 publications · 189 citations

    5

    h-index

  4. TS
    Timo Seppäläinen

    University of Wisconsin–Madison, United States

    5 publications · 189 citations

    5

    h-index

  5. JW
    Jan Wehr

    University of Arizona, United States

    4 publications · 1K citations

    4

    h-index

1–5 of 258

Venues

  1. Probability Theory and Related Fields

    18 publications · 996 citations

    15

    h-index

  2. Journal of Statistical Physics

    17 publications · 752 citations

    14

    h-index

  3. Stochastic Processes and their Applications

    14 publications · 404 citations

    12

    h-index

  4. Communications in Mathematical Physics

    9 publications · 584 citations

    9

    h-index

  5. Physics Letters B

    9 publications · 671 citations

    9

    h-index

1–5