2015 - Three Physicists Prize (Prix des trois physiciens), École Normale Supérieure (ENS)
2011 - Member of Academia Europaea
2001 - Ampère Prize (Prix Ampère de l’Électricité de France), French Academy of Sciences
Bernard Derrida spends much of his time researching Statistical physics, Condensed matter physics, Mathematical analysis, Simple and Phase transition. Bernard Derrida specializes in Statistical physics, namely Large deviations theory. In general Condensed matter physics, his work in Electronic structure is often linked to Exponent linking many areas of study.
His work in Mathematical analysis covers topics such as Asymmetric simple exclusion process which are related to areas like Stochastic process and Particle. His work investigates the relationship between Simple and topics such as Current that intersect with problems in Additive function, Matrix, Distribution, Ring and Function. His studies deal with areas such as Reaction–diffusion system, Spin glass, Phase, Phase velocity and Nonlinear system as well as Phase transition.
The scientist’s investigation covers issues in Statistical physics, Condensed matter physics, Simple, Mathematical analysis and Phase transition. His Statistical physics research is multidisciplinary, incorporating elements of Current and Random energy model. His study looks at the relationship between Current and fields such as Mathematical physics, as well as how they intersect with chemical problems.
His Condensed matter physics research incorporates themes from Phase and Scaling. His Mathematical analysis study combines topics in areas such as Lattice and Asymmetric simple exclusion process. He combines subjects such as Deviation function, Combinatorics and Brownian motion with his study of Large deviations theory.
His primary areas of investigation include Statistical physics, Brownian motion, Simple, Large deviations theory and Symmetry breaking. His multidisciplinary approach integrates Statistical physics and Coalescence in his work. His Brownian motion study also includes
His work carried out in the field of Simple brings together such families of science as Tree, Moment-generating function and Critical regime. His research on Large deviations theory also deals with topics like
His primary scientific interests are in Statistical physics, Brownian motion, Large deviations theory, Position and Random walk. His research integrates issues of Simple, Current, Generalization and Steady state in his study of Statistical physics. His Brownian motion study deals with Particle intersecting with Displacement.
His Large deviations theory study also includes fields such as
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Random-energy model: An exactly solvable model of disordered systems
Physical Review B (1981)
Exact solution of a 1d asymmetric exclusion model using a matrix formulation
B Derrida;M R Evans;V Hakim;V Pasquier.
Journal of Physics A (1993)
Non-equilibrium steady states: fluctuations and large deviations of the density and of the current
Journal of Statistical Mechanics: Theory and Experiment (2007)
AN EXACTLY SOLUBLE NON-EQUILIBRIUM SYSTEM : THE ASYMMETRIC SIMPLE EXCLUSION PROCESS
Physics Reports (1998)
Random-Energy Model: Limit of a Family of Disordered Models
Physical Review Letters (1980)
Random networks of automata: a simple annealed approximation
B. Derrida;Y. Pomeau.
An exact solution of a one-dimensional asymmetric exclusion model with open boundaries
B. Derrida;E. Domany;D. Mukamel.
Journal of Statistical Physics (1992)
An Exactly Solvable Asymmetric Neural Network Model
B. Derrida;E. Gardner;A. Zippelius.
Optimal storage properties of neural network models
E Gardner;B Derrida.
Journal of Physics A (1988)
Polymers on disordered trees, spin glasses, and traveling waves
B. Derrida;H. Spohn.
Journal of Statistical Physics (1988)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: