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- Biostatistique et processus spatiauxFR2 papers
- CERMICSFR2 papers
- Material Physics CenterES2 papers
- Centre de Recherche en Mathématiques de la DécisionFR1 paper
- Centre de Recherches Insulaires et Observatoire de l'EnvironnementPF1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- Centre National de Recherche en Génomique HumaineFR1 paper
- Château GombertFR1 paper
- China Academy of Engineering PhysicsCN1 paper
- China Mobile (China)CN1 paper
- Consejo Nacional de Ciencia y TecnologíaGT1 paper
- École nationale des ponts et chausséesFR1 paper
9 papers
Optically Encoded Suspension Microarrays: Materials, Design Strategies, and Future Directions for Multiplexed Bioanalysis
Mikhail Sokolov, Irina S. Kriukova, Alyona Sukhanova +1
Suspension microarrays based on optically encoded microbeads have become one of the most versatile platforms for multiplexed bioanalysis because they combine solution-phase reactio…
An abstract framework for a class of nonlocal structured population models: existence, uniqueness and stability of steady states
Jérôme Coville, Léo Girardin
This paper is concerned with the study of a class of nonlinear nonlocal functional evolution problems defined in an abstract Banach algebra. We introduce an abstract functional set…
Surrogate Modeling via Factorization Machine and Ising Model with Enhanced Higher-Order Interaction Learning
Anbang Wang, Dunbo Cai, Yu Zhang +3
Recently, a surrogate model was proposed that employs a factorization machine to approximate the underlying input-output mapping of the original system, with quantum annealing used…
Periodic KPP equations: new insights into persistence, spreading, and the role of advection
Nathanaël Boutillon, François Hamel, Lionel Roques
We focus on the persistence and spreading properties for a heterogeneous Fisher-KPP equation with advection. After reviewing the different notions of persistence and spreading spee…
Integrative omics framework for characterization of coral reef ecosystems from the Tara Pacific expedition
Caroline Belser, Julie Poulain, Karine Labadie +33
Coral reef science is a fast-growing field propelled by the need to better understand coral health and resilience to devise strategies to slow reef loss resulting from environmenta…
Deep Learning-based Schemes for Singularly Perturbed Convection-Diffusion Problems
A. Beguinet, V. Ehrlacher, R. Flenghi +3
Deep learning-based numerical schemes such as Physically Informed Neural Networks (PINNs) have recently emerged as an alternative to classical numerical schemes for solving Partial…