Virginia CarnevaliExpertise
Theoretical condensed matter physics: theory and simulations of structural, electronic, magnetic and optical properties (Quantum ESPRESSO), ab-initio molecular dynamics (CP2K), and Kinetic Monte Carlo codes; automate Quantum ESPRESSO workflows and high-throughput calculations (AFLOWÏ€); generation of tight-binding hamiltonians, transport properties, and data analysis (PAOFLOW).Materials for photovoltaic: Pb- and Sn-based organic perovskites; investigation and improvement of the HTL-ETL interaction
Suong NguyenEnseignement et PhD Doctorant·es actuel·les Shubhanga Ballal, Yuji Watanabe Cours Modern methods in polymer chemistry and sustainability ChE-431
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Aleksandar AntanasijevicEnseignement et PhD Doctorant·es actuel·les Camilla Di Giulio, Kiruthika Kumar, Yash Garodia Cours Biological chemistry I BIO-212 La biochimie est une discipline clé dans les sciences de la vie. La chimie biologique I et II sont deux cours étroitement interconnectés qui visent à comprendre en termes moléculaires les processus qui rendent la vie possible. General chemistry for SV CH-100 Ce cours couvre les notions de chimie générale, relatives à la matière et sa structure, l
Andrea VezzosiAndrea Vezzosi is a postdoctoral researcher in the group of Prof. Ursula Rothlisberger at the Institute of Chemical Sciences and Engineering, EPFL (Switzerland). He earned his Ph.D. in Physics and Nanosciences from the University of Modena and Reggio Emilia in 2024, where he investigated spin–orbit coupling and topological states in core–shell semiconductor nanowires. During his doctoral studies, he developed nwkp, an open-source Python library for computing the band structure of core–shell nanowires using
Vladislav SlamaExpertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), computing ground and excited state properties of molecules and molecular aggregates including the effects of the environment (Gaussian, PyScf) and simulating excitation dynamics and optical spectra using quantum master equation approaches (Quantarhei).
Expertise
Atomistic modeling of the biological pigment protein complexes consisting of molecular dynamics simulations (AMBER), compu
Gregor JotzuEnseignement et PhD Doctorant·es actuel·les Malo Pierre Yves Herve, Louis Gobber, Chiara Missaglia, Kewei Zhou, Fares Hasan Cours Probability and statistics for materials science MSE-213 Établit les concepts de l'analyse statistique, théorie des probabilités et l'analyse des données. Cela inclut les tests statistiques standard, l'analyse des corrélations et la conception expérimentale. Il introduit des méthodes statistiques informatiques pour analyser de grands ensembles de données. Quan
Zoë HolmesEnseignement et PhD Doctorant·es actuel·les Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Cours Quantum information theory PHYS-550 Après avoir revu les bases de la théorie quantique du point de vue de la théorie de l'information, nous couvrirons des sujets plus avancés en théorie de l'information quantique tels que les mesures de l'information quantique et la compréhension des états, canaux et mesures quantiqu
Gopal Narmada NaiduExpertise
Researcher with 8+ years of experience in computational physics and multiphysics modeling, focused on numerical simulation of light–matter interactions and photon propagation. Proficient in FEM, FDTD, and Monte Carlo methods to model energy conversion and optical behavior, with additional expertise in AI/ML techniques for model optimization and design exploration. Strong background in photonic devices, photo-thermal, thermo-optical effects, and nanostructure engineering. Adept at translating compl
Nako NakatsukaMission
At the Laboratory of Chemical Nanotechnology (CHEMINA), our mission is to develop translational chemical biosensing technologies that advance human health. Working at the intersection of chemistry, engineering, and neuroscience, we seek to probe the dynamic chemical landscape of biological systems across in vitro systems, in vivo models, and human clinical samples. We develop novel biorecognition elements and innovate biosensing platforms to enable monitoring of small molecules in complex biofluids,
Laura PiveteauEnseignement et PhD Cours Basic and advanced NMR - Level 1 (Sion) CH-601(y) Basic theoretical and experimental aspects of NMR. Students will be familarized with modern NMR spectrometers. Basic and advanced NMR - Level 1 A (EPFL) CH-601(x) Basic and advanced NMR - Level 2 (EPFL) CH-703 The goal is to give a sound theoretical and practical foundation in NMR for various applications in research. PhD students and post-docs who have followed the course successful
Giovanna LaniExpertise
Theory development within many-body perturbation theory, time-dependent density functional theory and density-functional theory for problems pertaining to condensed matter physics and quantum chemistry
Expertise
Theory development within many-body perturbation theory, time-dependent density functional theory and density-functional theory for problems pertaining to condensed matter physics and quantum chemistry
Philip Robin LocheExpertise
I'm a researcher in soft matter physics working on electrostatics ✨ in aqueous systems 🌊 using machine learning and molecular simulations 💻
Francesco ArmillottaExpertise
Physique de la matière condensée, Physique des surfaces
Je suis actuellement post-doctorant dans le groupe Laboratoire des Nanostructures de Surfaces (LSN), intéressé par les propriétés catalytiques des (sub) nanostructures confinées en surface.
Enseignement et PhD Cours Physique du solide PHYS-337 Ce cours donne une introduction à la Physique du solide, notamment à la structure cristalline, aux vibrations duréseau, aux propriétés électroniques, de transport thermique et électrique
Davide TisiGraduated in Physics from the University of Modena and Reggio Emilia, Italy. He earned his PhD in SISSA under the supervision of Prof. Stefano Baroni, working on the computation of transport properties of liquids from ab initio approach and NN potential. He joined the Laboratory of Computational Science and Modelling (COSMO), led by Prof. Michele Ceriotti, in June 2022.He is currently working on the development of machine learning potential for LiPS materials for battery applications.
