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| [[Image:Event chain movie small.gif|100px|left|frame|Event-chain Monte Carlo algorithm for hard spheres and related systems (see [[Bernard Krauth Wilson 2009|article with E. P. Bernard and D. B. Wilson]]). This (fantastic) algorithm, about two orders of magnitude faster than local Monte Carlo, was used in our [[Bernard Krauth 2011|discovery of the first-order liquid-hexatic phase transition in hard disks]].]] | [[Image:Event chain movie small.gif|100px|left|frame|Event-chain Monte Carlo algorithm for hard spheres and related systems (see [[Bernard Krauth Wilson 2009|article with E. P. Bernard and D. B. Wilson]]). This (fantastic) algorithm, about two orders of magnitude faster than local Monte Carlo, was used in our [[Bernard Krauth 2011|discovery of the first-order liquid-hexatic phase transition in hard disks]].]] | ||
| + | [[Image:Event_chain_box.gif|100px|left|frame|Alder and Wainwright's event-driven Molecular Dynamics algorithm (1957).]] | ||
| [[image:Exact_diag.jpg|100px|center|frame|Exact diagonalization algorithm for Dynamical mean field theory (see [[Caffarel Krauth 1994|article with M. Caffarel]]). This algorithm has been instrumental in our discovery of a first-order Mott transition in the Hubbard model in infinite dimensions. Much of our early work in the field is written up in our [[Georges_Kotliar_Krauth_Rozenberg_1996|review with Georges, Kotliar, and Rozenberg]]]] | [[image:Exact_diag.jpg|100px|center|frame|Exact diagonalization algorithm for Dynamical mean field theory (see [[Caffarel Krauth 1994|article with M. Caffarel]]). This algorithm has been instrumental in our discovery of a first-order Mott transition in the Hubbard model in infinite dimensions. Much of our early work in the field is written up in our [[Georges_Kotliar_Krauth_Rozenberg_1996|review with Georges, Kotliar, and Rozenberg]]]] | ||
Revision as of 15:36, 7 June 2011
Welcome to my new webpage (construction area)
Contents |
Upcoming events
Summerschool: First Les Houches school in computational physics: soft matter June 20, 2011 - July 1, 2011, Les Houches, France
Workshop: PyPhy - Python in Physics 2011, August 29, 2011, ENS, Paris
Satellite meeting of the 4th European Meeting of Python in Science (Euroscipy 2011) also taking place at August 25-28, 2011, ENS, Paris
Current research
I am deeply interested in statistical physics and condensed matter physics, often in connection to computation and algorithms. Current interests are in hard spheres, mainly the melting transition in two-dimensional disks, bosons (in collaboration with the experimental groups of C. Salomon and J. Dalibard, and the theory of convergence and of coupling in Markov chains. Practically all my work is in collaboration with colleagues and students.
A picture book of research
Direct-sampling algorithm for ideal bosons in a trap (see article with M. Holzmann). Adapted for interacting bosons, this algorithm was used in a variety of articles.
Event-chain Monte Carlo algorithm for hard spheres and related systems (see article with E. P. Bernard and D. B. Wilson). This (fantastic) algorithm, about two orders of magnitude faster than local Monte Carlo, was used in our discovery of the first-order liquid-hexatic phase transition in hard disks.
Alder and Wainwright's event-driven Molecular Dynamics algorithm (1957).
Exact diagonalization algorithm for Dynamical mean field theory (see article with M. Caffarel). This algorithm has been instrumental in our discovery of a first-order Mott transition in the Hubbard model in infinite dimensions. Much of our early work in the field is written up in our review with Georges, Kotliar, and Rozenberg
Rejection-free cluster algorithm for dimers (see article with R. Moessner). This algorithm was used for our discovery of a critical phase in three-dimensional dimer models (paper with Huse, Sondhi, and Moessner). Note that dimers flip about a symmetry axis between one valid configuration and another.
Research areas
Address
Werner Krauth Laboratoire de Physique Statistique École normale supérieure 24 rue Lhomond 75231 Paris Cedex 05 France Tel +33 (0) 44 32 25 50
