Yves Chemisky

Yves Chemisky

Université de Bordeaux

H-index: 25

Europe-France

About Yves Chemisky

Yves Chemisky, With an exceptional h-index of 25 and a recent h-index of 19 (since 2020), a distinguished researcher at Université de Bordeaux, specializes in the field of Theoretical Mechanics, Physics based Artificial Intelligence, Smart Materials, Multiscale and multiphysics, Numerical simulation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Numerical investigation of the effective mechanical properties and local stress distributions of TPMS-based and strut-based lattices for biomedical applications

Thermodynamically consistent Recurrent Neural Networks to predict non linear behaviors of dissipative materials subjected to non-proportional loading paths

3MAH: un ensemble de librairies pour analyser le comportement complexe de matériaux hétérogènes

Prédiction du comportement mécanique non linéaire de matériaux dissipatifs sous chargements non proportionnels avec des Réseaux de Neurones Récurrents Thermodynamiquement …

Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models

Prediction of the compressive damage response of flax-reinforced laminates using a mesoscale framework

Yves Chemisky Information

University

Position

Professor

Citations(all)

2323

Citations(since 2020)

1275

Cited By

1590

hIndex(all)

25

hIndex(since 2020)

19

i10Index(all)

33

i10Index(since 2020)

27

Email

University Profile Page

Université de Bordeaux

Google Scholar

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Yves Chemisky Skills & Research Interests

Theoretical Mechanics

Physics based Artificial Intelligence

Smart Materials

Multiscale and multiphysics

Numerical simulation

Top articles of Yves Chemisky

Title

Journal

Author(s)

Publication Date

Numerical investigation of the effective mechanical properties and local stress distributions of TPMS-based and strut-based lattices for biomedical applications

Journal of the mechanical behavior of biomedical materials

Chrysoula Chatzigeorgiou

Boris Piotrowski

Yves Chemisky

Pascal Laheurte

Fodil Meraghni

2022/2/1

Thermodynamically consistent Recurrent Neural Networks to predict non linear behaviors of dissipative materials subjected to non-proportional loading paths

Mechanics of Materials

Aymen Danoun

Etienne Prulière

Yves Chemisky

2022/10/1

3MAH: un ensemble de librairies pour analyser le comportement complexe de matériaux hétérogènes

Etienne Prulière

Yves Chemisky

2022/5/16

Prédiction du comportement mécanique non linéaire de matériaux dissipatifs sous chargements non proportionnels avec des Réseaux de Neurones Récurrents Thermodynamiquement …

Aymen Danoun

Etienne Prulière

Yves Chemisky

2022/5/16

Hybrid approach to predict the effective properties of heterogeneous materials using artificial neural networks and micromechanical models

International Journal for Numerical Methods in Engineering

Aymen Danoun

Etienne Pruliére

Yves Chemisky

2022/2/15

Prediction of the compressive damage response of flax-reinforced laminates using a mesoscale framework

Composites Part A: Applied Science and Manufacturing

Constantin Nicolinco

Zia Mahboob

Yves Chemisky

Fodil Meraghni

Donatus Oguamanam

...

2021/1/1

See List of Professors in Yves Chemisky University(Université de Bordeaux)

Co-Authors

H-index: 37
Fodil MERAGHNI

Fodil MERAGHNI

Arts et Métiers ParisTech

H-index: 30
Tarak Ben Zineb

Tarak Ben Zineb

Université de Lorraine

H-index: 22
Theocharis Baxevanis

Theocharis Baxevanis

University of Houston

H-index: 17
Nicolas Charalambakis

Nicolas Charalambakis

Aristotle University of Thessaloniki

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