Giuseppe CarleoTwitter
https://twitter.com/gppcarleo
Enseignement et PhD Doctorant·es actuel·les Gian Gentinetta, Linda Mauron, Samuele Piccinelli, Alessandro Sinibaldi, Shao Hen Chiew, David Linteau, Clemens Giuliani, Ali Goodarzi, Gianluca Grosso, Ruize Ma, Ekaterina Pankovets A dirigé les thèses EPFL de Dian Wu, Julien Sebastian Gacon, Gabriel Maria Pescia, Barison Stefano, Imelda Romero Cours Advanced computational physics PHYS-339 Le cours couvre l'algèbre linéaire dense/creuse, les méthodes variati Olga FinkEnseignement et PhD Doctorant·es actuel·les Han Sun, Leandro Von Krannichfeldt, Keivan Faghih Niresi, Zepeng Zhang, Vinay Sharma, Chenghao Xu, Raffael Pascal Theiler, Kevin Antonio Steiner, Sergei Garmaev, Amaury Wei A dirigé les thèses EPFL de Ismail Nejjar, Mengjie Zhao Cours Data Science for infrastructure condition monitoring CIVIL-332 Le cours couvrira les étapes pertinentes de la surveillance de l'état des infrastructures basée sur les données: l'acquisition des données, en passant p
Lenka ZdeborováLenka Zdeborová is a Professor of Physics and of Computer Science in École Polytechnique Fédérale de Lausanne where she leads the Statistical Physics of Computation Laboratory. She received a PhD in physics from University Paris-Sud and from Charles University in Prague in 2008. She spent two years in the Los Alamos National Laboratory as the Director's Postdoctoral Fellow. Between 2010 and 2020 she was a researcher at CNRS working in the Institute of Theoretical Physics in CEA Saclay, France. In 2014, she was awarded the CNRS bronze medal, in 2016 Philippe Meyer prize in theoretical physics and an ERC Starting Grant, in 2018 the Irène Joliot-Curie prize, in 2021 the Gibbs lectureship of AMS. She is an editorial board member for Journal of Physics A, Physical Review E, Physical Review X, SIMODS, Machine Learning: Science and Technology, and Information and Inference. Lenka's expertise is in applications of concepts from statistical physics, such as advanced mean field methods, replica method and related message-passing algorithms, to problems in machine learning, signal processing, inference and optimization. She enjoys erasing the boundaries between theoretical physics, mathematics and computer science.
Loïc Jean Pierre HerviouEnseignement et PhD Cours Solid state physics III PHYS-419 Le but de ce cours est de proposer une introduction à la théorie de quelques phénomènes remarquables en matière condensée tels que l'effet Hall quantique ou la supraconductivité.
Michael HerbstSee also
https://matmat.org: Group websitehttps://michael-herbst.com: Blog & personal website
Enseignement et PhD Doctorant·es actuel·les Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Cours Error control in scientific modelling MATH-500 Les erreurs sont omniprésentes dans les sciences informatiques. En ce qui concerne les problèmes de valeurs propres motivés par la science des matériaux et la modélisation atomistique, nous discutons, mettons en œuvre et appliquons Alisa DavydovaEducation BSc in Physics | Department of Theoretical physics, Classical and Quantum Field Theory 2015 – 2019 Lomonosov Moscow State University MSc in Photonics and Quantum Materials | Nanomaterials application for Nonlinear Optics 2019 – 2021 Skolkovo Institute of Science and Technology
Kai RenKai Ren received his Bachelor's degree in Electrical Engineering from the University of Victoria, and his Master's degree in Electrical and Computer Engineering from the University of British Columbia, Canada. His research interest is the safe motion planning of autonomous systems in uncertain and dynamic environments. His master's thesis investigated a safe and risk-aware Model Predictive Control framework under multimodal environmental uncertainties. Education M.ASc | Electrical and Computer Enginee
Parmenion MavrikakisExpertise
Computational electromagnetics, integral equations, finite element analysis, metasurfaces, photonics, plasmonics and microwaves.
Current Work
Developing a C++ code for the modeling of light scattering in layered media with the surface integral equation method.
I am a PhD student in the Electrical Engineering Department (EDEE) at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the Nanophotonics and Metrology Laboratory (NAM), part of the Microengineering Department (IEM) at EPFL. M
Julie Nathalie S GheysenEnseignement et PhD Cours Comportement mécanique des matériaux MSE-234 Ce cours est une introduction au comportement mécanique, à l'élaboration, à la structure et au cycle de vie des grandes classes de matériaux de structure (métaux, polymères, céramiques et composites) Matériaux MSE-171 Une introduction à la science des matériaux appliquée aux matériaux de construction courants, en particulier le béton et les métaux. Description de leur fabrication, leurs comportements mécan
Marianne LiebiEnseignement et PhD Doctorant·es actuel·les Atreyee Acharya, Dominique Olivier Windisch, Sici Wang, Torne Tänzer, Else Linnea Rensmo, Carolina Gutierrez Bolaños Cours Material science at large scale facilities MSE-435 Ce cours donne une introduction à la recherche sur les matériaux utilisant les rayons X et les neutrons. Après une introduction aux grands instruments de recherche, nous plongerons dans les différentes méthodes, y compris des exemples d'application dans divers domaines de la
