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Christian Soize

Professor

Université Gustave Eiffel

France

Research Interests

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Professors in France Professors in Fluid Mechanics Fluid Mechanics professors in France

About

Christian Soize is a Professor at Université Gustave Eiffel, France. His research focuses on statistical surrogate models, probabilistic learning on manifolds, and the behavior of rarefied gas flows in nanochannels. He has recently published work on modeling uncertainty in turbulent CFD and developed nonparametric approaches in nanomechanics.

Articles (27)

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2027

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2026

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2022

Collaborators (5)

Christophe Desceliers

Professor

Université Gustave Eiffel

FRANCE

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Roger Ghanem

Professor

University of Southern California

UNITED STATES

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Anil Misra

Chair and Professor

Florida International University

UNITED STATES

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Ivan Giorgio

Associate professor

University of L'Aquila

ITALY

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Charbel Farhat

UNITED STATES

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Christian Soize

Research Interests

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About

Articles (27)

Physics-informed random neural architectures on compact boundaryless multiply connected manifolds for random-operator models in machine learning and uncertainty quantification

A nonlinear micropolar continuum model with diffusion-reaction equation for remodeling of bone with trabecular lattice microarchitecture

Uncertainty Quantification in Neural Networks for Latent-Driven Non-Gaussian Outputs

Bayesian calibration with missing data and model discrepancies: Application to high-speed train with uncertain control

Neural network hyperreduction for parameterized computational models in nonlinear stochastic dynamics

A Cauchy–Piola framework for micro-based micromorphic continua

A Cauchy-Piola framework for micro-based micromorphic continua. Part II: a geometric theory of elastoplasticity

Size effects of rarefied gas flows in nanochannels by simulations based on statistical surrogate model for atomistic collisions

Quantum computer formulation of the FKP-operator eigenvalue problem for probabilistic learning on manifolds

Quantum computer formulation of the FKP-operator eigenvalue problem for probabilistic learning on manifolds

Probabilistic Learning on Manifolds for Statistical Surrogate Models in Uncertain Nano-to-Macro Stochastic Systems

A tractable nonparametric probabilistic approach for modeling and quantifying model-form uncertainty in turbulent CFD

From Discrete to Continuum: A Generalized Euler-Maclaurin Framework for Scale Effects in Nanomechanics

Transient anisotropic kernel for probabilistic learning on manifolds

Statistical Metamodel of Liner Acoustic Impedance Based on Neural Network and Probabilistic Learning for Small Datasets

Statistical Metamodel of Liner Acoustic Impedance Based on Neural Network and Probabilistic Learning for Small Datasets

Stochastic second-gradient continuum theory for particle-based materials: part II

Updating an uncertain and expensive computational model in structural dynamics based on one single target FRF using a probabilistic learning tool

Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures

Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures

Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool

Nonlinear stochastic dynamics of detuned bladed-disks with uncertain mistuning and detuning optimization using a probabilistic machine learning tool

Probabilistic learning inference of boundary value problem with uncertainties based on Kullback–Leibler divergence under implicit constraints

Probabilistic learning inference of boundary value problem with uncertainties based on Kullback-Leibler divergence under implicit constraints

Probabilistic learning on manifolds (PLoM) with partition

Probabilistic learning on manifolds (PLoM) with partition

Multi-frequency model reduction for uncertainty quantification in computational vibroacoutics

Collaborators (5)

Christophe Desceliers

Roger Ghanem

Anil Misra

Ivan Giorgio

Charbel Farhat

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