This title appears in the Scientific Report :
2021
Please use the identifier:
http://hdl.handle.net/2128/28917 in citations.
Please use the identifier: http://dx.doi.org/10.3390/ma14206160 in citations.
Chromium Doped UO2-Based Ceramics: Synthesis and Characterization of Model Materials for Modern Nuclear Fuels
Chromium Doped UO2-Based Ceramics: Synthesis and Characterization of Model Materials for Modern Nuclear Fuels
We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and derive the latter using field theory. This rate func...
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Personal Name(s): | Kegler, Philip (Corresponding author) |
---|---|
Klinkenberg, Martina / Bukaemskiy, Andrey / Murphy, Gabriel L. / Deissmann, Guido / Brandt, Felix / Bosbach, Dirk | |
Contributing Institute: |
Nukleare Entsorgung; IEK-6 |
Published in: | Materials, 14 (2021) 20, S. 6160 - |
Imprint: |
Basel
MDPI
2021
|
DOI: |
10.3390/ma14206160 |
Document Type: |
Journal Article |
Research Program: |
Nuclear Waste Disposal |
Link: |
OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://dx.doi.org/10.3390/ma14206160 in citations.
We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and derive the latter using field theory. This rate function takes the form of a Kullback-Leibler divergence which enables data-driven inference of model parameters and calculation of fluctuations beyond mean-field theory. Lastly, we expose a regime with fluctuation-induced transitions between mean-field solutions. |