scispace - formally typeset
R

Romain Duboscq

Researcher at Institut de Mathématiques de Toulouse

Publications -  33
Citations -  476

Romain Duboscq is an academic researcher from Institut de Mathématiques de Toulouse. The author has contributed to research in topics: Nonlinear system & Vortex. The author has an hindex of 8, co-authored 30 publications receiving 370 citations. Previous affiliations of Romain Duboscq include Institut Élie Cartan de Lorraine & University of Lorraine.

Papers
More filters
Journal ArticleDOI

GPELab, a Matlab toolbox to solve Gross–Pitaevskii equations I: Computation of stationary solutions☆

TL;DR: GPELab (Gross–Pitaevskii Equation Laboratory), an advanced easy-to-use and flexible Matlab toolbox for numerically simulating many complex physics situations related to Bose–Einstein condensation is presented.
Journal ArticleDOI

GPELab, a Matlab toolbox to solve Gross–Pitaevskii equations II: Dynamics and stochastic simulations☆

TL;DR: The aim of this second paper, which follows, is to present the various pseudospectral schemes available in GPELab for computing the deterministic and stochastic nonlinear dynamics of Gross–Pitaevskii equations.
Journal ArticleDOI

Robust and efficient preconditioned Krylov spectral solvers for computing the ground states of fast rotating and strongly interacting Bose-Einstein condensates

TL;DR: Numerical simulations show that the Backward Euler SPectral (BESP) scheme for computing the stationary states of Bose-Einstein Condensates (BECs) through the Gross-Pitaevskii equation is accurate, fast and robust for 2D/3D problems and multi-components BECs.
Book ChapterDOI

Modeling and computation of Bose-Einstein condensates: stationary states, nucleation, dynamics, stochasticity

TL;DR: In this article, the authors give an introduction to the derivation of the Gross-Pitaevskii Equations (GPEs) that arise in the modeling of Bose-Einstein Condensates (BECs) and describe some physical problems related to stationary states, dynamics, multi-components BECs and the possibility of handling stochastic effects into the equation.
Journal ArticleDOI

Stochastic regularization effects of semi-martingales on random functions

TL;DR: In this paper, the Ito-Tanaka trick is extended to link the time-average of a deterministic function f depending on a stochastic process X and F the solution of the Fokker-Planck equation associated to X, to random mappings f.