Dario Villamaina came to the Institute in the autumn of 2013. He had obtained his

PhD in Rome in 2011 and had done a first postdoc at the LPTMS in Paris-Orsay.

His research activity is both in non-equilibrium statistical mechanics and on random

matrices [22, 23, 24, 25].

D. Villamaina studied the behaviour of a moving wall in contact with an interact-

ing particle gas and subjected to an external force [24]. He derived the fluctuations of

the system both in the microcanonical and canonical ensembles, showing how static

and dynamic correlations signal significant differences with respect to the standard

thermodynamical limit. In the same spirit, in collaboration with E. Trizac, D. Villa-

maina analyzed the fluctuations of the number of particles in a finite-size interacting

fluid and their finite size effects which should be taken into account to obtain a

meaningful thermodynamic compressibility [23]. He also investigated the finite-size

structure factor that can be viewed as a scale dependent compressibility living in

Fourier space.

In collaboration with A. Sarracino, he wrote a review article [25] about some re-

cent results on the behaviour of fluctuations in the framework of molecular motors,

pointing out some analogies shown by the large deviations of quantities such as work

and entropy production in different systems. These common features reveal some un-

derlying symmetry properties governing the non-equilibrium behaviour of Brownian

motors.

Regarding the other research interest in random matrix theory, D. Villamaina

showed how the fluctuations of the spin glass susceptibility in the Sherrington-Kirk-

patrick model can be mapped onto an invariant random matrix ensemble where the

standard Gaussian potential is distorted by an additional single pole. He then com-

puted the average spectral density in the limit of large matrix size, solving the loop

equation [22].

In a recent project, in collaboration with M. Barbier and E. Trizac (LPTMS,

Paris-Sud), he studied the dynamics of a localized intense explosion in a dissipative

gas [26]. This is a quite hard problem in hydrodynamics because of the presence of

strong non-linear effects. Moreover, because of the presence of dissipation, the stan-

dard approach does not work. They provided a detailed analysis of the structure of

the blast by combining molecular dynamics simulations and scaling analysis of hydro-

dynamic equations. This twofold approach has permitted on one hand to rationalize

the qualitative arguments already present in literature and, on the other hand, to

unveil a new corrugation instability in the structure of the crust.

D. Villamaina also got interested to a new direction of research, concerning the ap-

plications of random matrix theory to correlation data analysis. Determining correla-

tions among variables starting from some observations is a common problem in statistics. In these cases, one deals with some estimators of correlation matrices, which are affected by finite sampling.

In collaboration with Rémi Monasson (LPTENS), they have described a general formalism for the calculation of the average scalar products between the empirical eigenvectors (namely the eigenvectors of the correlation matrix estimator) and the real ones of a correlation matrix [27].

This theoretical work opens the door to several possible applications, and D.

Villamaina is now starting a new project, applying this techniques on protein sequence

analysis, in collaboration with Simona Cocco (LPS-ENS) and Martin Weigt (Paris-6).

After 2 years at the Philippe Meyer Institute, Dario Villamaina stayed a third year

at the ENS on a different grant, and then moved to a permanent scientist position at

Capital Fund Management, Paris.