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Sabine Cantournet

Sabine Cantournet

Research Director

Center · CMAT

Keywords

Awards & distinctions

  • 2014 IC M.I.N.E.S.'s Best "Scientific Recharge" Initiative of 2014

Team

SIMS - Simulation des Matériaux et des Structures

Biography

Sabine Cantournet is a researcher specializing in the mechanics of polymer and composite materials, with particular expertise in the study of the mechanical and thermomechanical behavior of amorphous, semicrystalline, and reinforced polymers. Her work focuses on several major areas, including multiscale modeling of mechanical properties, the optimization of forming processes such as injection blow molding (ISBM) for recycled polymers, and the analysis of confinement effects and dynamic inhomogeneities on the glass transition. His research incorporates advanced experimental approaches, such as small-angle X-ray scattering (SAXS) or digital image correlation (DIC), coupled with innovative numerical methods such as Bayesian models, Gaussian process regressions, or hyper-reduction techniques for parametric problems. His approach thus combines materials physics, continuum mechanics, and artificial intelligence tools to address industrial and fundamental challenges, ranging from the durability of reinforced elastomers to the optimization of polymer recycling processes.

Publication(s)

Teaching

Fluid Mechanics (PI MECAERO)

Lecturer

Mechanics of Materials and Structures (PI MECAERO)

Lecturer

Project (PI MECAERO)

Lecturer

Semester Abroad for Research

Course Director

Language Analysis (Research Quarter)

Course Director

Atoms, Light, and Matter (Research Quarter)

Course Director

Control Theory (Research Quarter)

Course Director

This quarter offers an introduction to research in control theory (Automation), a discipline within the field of mathematics applied to physical systems. To begin, a week of theoretical lectures introduces the essential elements of control theory and classical proof techniques and methods (stabilization, controllability, observability). These concepts are illustrated through concrete engineering examples that help students understand the role of feedback in real-world systems (mechanical, chemical, electrical, aerospace, mechatronic, automotive, oil, and energy systems, among others). Students then work on research topics proposed and supervised by faculty members at the Center for Automation and Systems at Mines Paris - PSL. Students enrolled in this quarter learn to apply these theoretical concepts mathematically, illustrate them with practical examples, and communicate the results of their work in accordance with academic standards. Students participate in laboratory activities and, in particular, attend seminars with researchers.

Natural Environments (Research Quarter)

Course Director

Data, Images, Physical Models, and Machine Learning (Research Quarter)

Course Director

Data analysis is playing an increasingly important role in our society, both professionally and personally. This data is often complex: text, images, videos, genomes, point clouds, and graphs, for example. It serves as the raw material for the digital industries. Automatically extracting useful information from these massive datasets is a major challenge. The goal of this research term is to provide engineering students with their first experience in research on the automatic analysis of complex data. Images and other structured data (graphs, trees, sequences, etc.) will be the focus of this work. The scientific disciplines involved will include, in particular, machine learning, image analysis, robotics, physics, and bioinformatics. Depending on the projects, students will have the opportunity to use kernel methods, deep learning, or mathematical morphology, among other techniques. The fields of application will be very diverse, ranging from autonomous driving to healthcare, including non-destructive testing and materials characterization. Some research projects will take place in collaboration with industry partners.

Energy Efficiency of Systems (Research Quarter)

Course Director

Thematic Course Content (Week of November 27–December 1) Introduction: Background, Challenges, and Objectives of Energy Efficiency in Systems Energy Efficiency in Transportation Energy Efficiency in Industry Energy Efficiency in Buildings Urban Energy Modeling Heat conversion and thermodynamic systems District heating networks CO2 capture and utilization Presentations of individual assignments and conclusions 2. Individual Assignments Each student must conduct a literature review on a topic of their choice related to energy efficiency and then present this work orally. Two half-days of class will be devoted to library research training (instructor: Sylvain MÉTAFIOT). 3. Seminar The seminar will complement the thematic course by offering two days of field visits, allowing students to see firsthand how energy efficiency is implemented in the field. Each student will be assigned to a research group and will work for two months on a topic of their choice, from December 4 to February 9.

Fluids (Research Quarter)

Course Director

Particles, Nuclei, Universe (Research Quarter)

Course Director

Engineering and Health Research (Research Quarter)

Lecturer

PhD supervision

  • 2021 Discovering the constitutive law of nonlinear viscoelastic material through physics-informed neural networks and experimental data PISTENON Nicolas
  • 2021 Data-driven numerical simulations for controlling the mechanical properties of DLF composites TOUMINET Armand
  • 2017 Physical modeling of the linear and nonlinear mechanical behavior of reinforced elastomers CHAMPAGNE Jonathan
  • 2016 Characterization and modeling of uniaxial/multiaxial cyclic fatigue behavior of short-fiber reinforced thermoplastics (PA66) composites LU Fang