output
19932026
most citedAdvanced capabilities for materials modelling with Quantum ESPRESSO

7.7k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

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Showing 2023 · math.PRShow all

13 papers · 2 filters

math.PR2023

Toward organ shortage resilient allocation policies using real-time queueing models for liver transplantation

Thomas Masanet, Benoît Audry, Christian Jacquelinet +1

We report in this paper on the potential interest of real-time queueing models to optimize organ allocation policies. We especially focus on building organ shortage resilient polic…

math.PR2023★ 1 cited

Asymptotic expansion of the invariant measurefor Markov-modulated ODEs at high frequency

Pierre Monmarché, Edouard Strickler

We consider time-inhomogeneous ODEs whose parameters are governed by an underlying ergodic Markov process. When this underlying process is accelerated by a factor $\varepsilon^{-1}…

math.PR2023

A determinantal point process approach to scaling and local limits of random Young tableaux

Jacopo Borga, Cédric Boutillier, Valentin Féray +1

We obtain scaling and local limit results for large random Young tableaux of fixed shape via the asymptotic analysis of a determinantal point process due to Gorin and Rahman…

math.PR2023★ 2 cited

Increasing subsequences of linear size in random permutations and the Robinson-Schensted tableaux of permutons

Victor Dubach

The study of longest increasing subsequences (LIS) in permutations led to that of Young diagrams via Robinson-Schensted's (RS) correspondence. In a celebrated paper, Vershik and Ke…

math.PR2023

Uniform Wasserstein convergence of penalized Markov processes

Nicolas Champagnat, Edouard Strickler, Denis Villemonais

For general penalized Markov processes with soft killing, we propose a simple criterion ensuring uniform convergence of conditional distributions in Wasserstein distance to a uniqu…

math.PR2023

Exit-problem for a class of non-Markov processes with path dependency

Ashot Aleksian, Aline Kurtzmann, Julian Tugaut

We study the exit-time of a self-interacting diffusion from an open domain . In particular, we consider the equation $d{X_t} = - \left( \nabla V(X_t) + \fra…

math.PR2023

On the sub-additivity of stochastic matching

Pascal Moyal, Ana Busic, Jean Mairesse

We consider a stochastic matching model with a general compatibility graph, as introduced in \cite{MaiMoy16}. We prove that most common matching policies (including FCFM, prioritie…

math.PR2023

Online matching for the multiclass stochastic block model

Nahuel Soprano-Loto, Matthieu Jonckheere, Pascal Moyal

We consider the problem of sequential matching in a stochastic block model with several classes of nodes and generic compatibility constraints. When the probabilities of connection…

math.PR2023

Self-interacting diffusions: long-time behaviour and exit-problem in the convex case

Ashot Aleksian, Pierre del Moral, Aline Kurtzmann +1

We study a class of time-inhomogeneous diffusion: the self-interacting one. We show a convergence result with a rate of convergence that does not depend on the diffusion coefficien…

math.PR2023★ 1 cited

Convergence of population processes with small and frequent mutations to the canonical equation of adaptive dynamics

Nicolas Champagnat, Vincent Hass

In this article, a stochastic individual-based model describing Darwinian evolution of asexual, phenotypic trait-structured population, is studied. We consider a large population w…

math.PR2023★ 1 cited

The stochastic renormalized mean curvature flow for planar convex sets

Marc Arnaudon, Koléhè Coulibaly-Pasquier, Laurent Miclo

We investigate renormalized curvature flow (RCF) and stochastic renormalized curvature flow (SRCF) for convex sets in the plane.RCF is the gradient descent flow for logarithm of $σ…

math.PR2023

Random models for singular SPDEs

I. Bailleul, Y. Bruned

We give a proof of the convergence of the BHZ renormalized model associated with the generalized (KPZ) equation that does not require the full strength of the BPHZ renormalisation.…

math.PR2023★ 4 cited

Locally uniform random permutations with large increasing subsequences

Victor Dubach

We investigate the maximal size of an increasing subset among points randomly sampled from certain probability densities. Kerov and Vershik's celebrated result states that the larg…