Zobrazeno 1 - 10
of 2 961
pro vyhledávání: '"Jolivet P"'
We present and distribute a parallel finite-element toolbox written in the free software FreeFem for computing the Bogoliubov-de Gennes (BdG) spectrum of stationary solutions to one- and two-component Gross-Pitaevskii (GP) equations, in two or three
Externí odkaz:
http://arxiv.org/abs/2404.00956
Publikováno v:
Bulletin of the Seismological Society of America, 2023, 113 (3), pp.1013-1024
The northern Chile region of the Nazca subduction zone ruptured in an Mw$\sim$8.5--9.0 earthquake in 1877, which induced a tsunami. The various magnitude estimates of this event are based on the evaluation of historical records, seismic intensities,
Externí odkaz:
http://arxiv.org/abs/2403.01870
This paper introduces a fully algebraic two-level additive Schwarz preconditioner for general sparse large-scale matrices. The preconditioner is analyzed for symmetric positive definite (SPD) matrices. For those matrices, the coarse space is construc
Externí odkaz:
http://arxiv.org/abs/2401.03915
Publikováno v:
ISPRS Geospatial Week 2023, Sep 2023, Cairo, Egypt., Egypt. pp.699-706
Accurate land use maps, describing the territory from an anthropic utilisation point of view, are useful tools for land management and planning. To produce them, the use of optical images alone remains limited. It is therefore necessary to make use o
Externí odkaz:
http://arxiv.org/abs/2311.07967
This article discusses the uncertainty quantification (UQ) for time-independent linear and nonlinear partial differential equation (PDE)-based systems with random model parameters carried out using sampling-free intrusive stochastic Galerkin method l
Externí odkaz:
http://arxiv.org/abs/2310.14649
Autor:
Zeren Xu, Adrien Schahl, Marie-Dominique Jolivet, Anthony Legrand, Axelle Grélard, Mélanie Berbon, Estelle Morvan, Louis Lagardere, Jean-Philip Piquemal, Antoine Loquet, Véronique Germain, Matthieu Chavent, Sébastien Mongrand, Birgit Habenstein
Publikováno v:
Communications Biology, Vol 7, Iss 1, Pp 1-17 (2024)
Abstract Remorins are multifunctional proteins, regulating immunity, development and symbiosis in plants. When associating to the membrane, remorins sequester specific lipids into functional membrane nanodomains. The multigenic protein family contain
Externí odkaz:
https://doaj.org/article/f00597f2d16e4181a7751a222393aba3
Autor:
A. A. Delahaie, L. Cécillon, M. Stojanova, S. Abiven, P. Arbelet, D. Arrouays, F. Baudin, A. Bispo, L. Boulonne, C. Chenu, J. Heinonsalo, C. Jolivet, K. Karhu, M. Martin, L. Pacini, C. Poeplau, C. Ratié, P. Roudier, N. P. A. Saby, F. Savignac, P. Barré
Publikováno v:
SOIL, Vol 10, Pp 795-812 (2024)
Partitioning soil organic carbon (SOC) in fractions with different biogeochemical stability is useful to better understand and predict SOC dynamics and provide information related to soil health. Multiple SOC partition schemes exist, but few of them
Externí odkaz:
https://doaj.org/article/07740747a6ad48288235506ac9ddbd0b
Autor:
Desanka Lazic, Cornelia Geßner, Katharina J. Liepe, Isabelle Lesur-Kupin, Malte Mader, Céline Blanc-Jolivet, Dušan Gömöry, Mirko Liesebach, Santiago C. González-Martínez, Matthias Fladung, Bernd Degen, Niels A. Müller
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Local adaptation is key for ecotypic differentiation and species evolution. Understanding underlying genomic patterns can allow the prediction of future maladaptation and ecosystem stability. Here, we report the whole-genome resequencing of
Externí odkaz:
https://doaj.org/article/00bf0348f72140108995acd4e808cf00
Publikováno v:
Oil & Gas Science and Technology, Vol 69, Iss 4, Pp 731-752 (2014)
Multiphase, compositional porous media flow models lead to the solution of highly heterogeneous systems of Partial Differential Equations (PDE). We focus on overlapping Schwarz type methods on parallel computers and on multiscale methods. We present
Externí odkaz:
https://doaj.org/article/869353f6276a473c9b0e26f1b1d5cdf4
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
Mapping Land Use (LU) is crucial for monitoring and managing the dynamic evolution of the human activities of a given area and their consequential environmental impacts. In this study, a multimodal machine learning framework, using the XGBoost classi
Externí odkaz:
https://doaj.org/article/50bf250f14304c9e8793dc8541e4541d