output
20202022
most citedLearning "best" kernels from data in Gaussian process regression. With application to aerodynamics

27 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.

collaborating institutions

6 papers

cond-mat.mes-hall2022★ 9 cited

Quantum well confinement and competitive radiative pathways in the luminescence of black phosphorus layers

Etienne Carré, Lorenzo Sponza, Alain Lusson +8

Black phosphorus (BP) stands out from other 2D materials by the wide amplitude of the band-gap energy (Delta(Eg)) that sweeps an optical window from Visible (VIS) to Infrared (IR)…

cond-mat.mtrl-sci2022

Unsupervised learning for structure detection in plastically deformed crystals

Armand Barbot, Riccardo Gatti

Detecting structures at the particle scale within plastically deformed crystalline materials allows a better understanding of the occurring phenomena. While previous approaches mos…

cond-mat.mtrl-sci2022★ 14 cited

Fatigue crack growth in bearing steel under cyclic mode II + static biaxial compression

Mael Zaid, Vincent Bonnand, Véronique Doquet +3

Mode II fatigue crack growth under reversed shear and static biaxial compression was investigated in two bearing steels. Many aborted branches, quasi-orthogonal to the main crack,…

stat.ML2022★ 27 cited

Learning "best" kernels from data in Gaussian process regression. With application to aerodynamics

Jean-Luc Akian, Luc Bonnet, Houman Owhadi +1

This paper introduces algorithms to select/design kernels in Gaussian process regression/kriging surrogate modeling techniques. We adopt the setting of kernel method solutions in a…

cond-mat.mes-hall2021★ 14 cited

Sublattice dependence and gate-tunability of midgap and resonant states induced by native dopants in Bernal-stacked bilayer graphene

Frédéric Joucken, Cristina Bena, Zhehao Ge +5

The properties of semiconductors can be crucially impacted by midgap states induced by dopants, which can be native or intentionally incorporated in the crystal lattice. For Bernal…

math.NA2020★ 3 cited

Adaptive reconstruction of imperfectly-observed monotone functions, with applications to uncertainty quantification

L. Bonnet, J. -L. Akian, É. Savin +1

Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive…