Angela SteinauerSince 2022: Head of the Laboratory of Biomolecular Engineering and Nanomedicine (LIBN), EPFL (Switzerland)2019-2021: MSCA Postdoctoral Fellow at ETHZ (Switzerland)2018: Ph.D. in Chemical Biology from Yale University (USA)2007-2012: B.Sc. & M.Sc. in Chemistry from University of Zurich (Switzerland)
Teaching & PhD PhD Students Diogo Miguel De Abreu Viegas, Georges Barnikol, Oliver Dennis, Andrea Elizabeth Melgar Aguilar, Paula Oeser, Manutsawee Thanaburakorn Courses Advanced general chemistry I CH
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
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
Zoë HolmesTeaching & PhD PhD Students Ricard Puig, Sacha Lerch, Reyhaneh Aghaei Saem, Shao Hen Chiew, Weijie Xiong, Marc Sanz Drudis, Mehrad Sahebi, Manuel Rudolph Courses Quantum information theory PHYS-550 After recapping the basics of quantum theory from an informationtheoretic perspective, we will cover more advanced topics inquantum information theory. This includes introducing measures of quantum information, and developing a more advanced understanding quantum states, channels and measurement
Michael HerbstExpertise
For more information about our research, see https://matmat.org/research/.
Teaching & PhD PhD Students Niklas Frederik Schmitz, Anna Paulish, Bruno Ploumhans, Benedikt Menges Courses Error control in scientific modelling MATH-500 Errors are ubiquitous in computational science as neither models nor numerical techniques are perfect. With respect to eigenvalue problems motivated from materials science and atomistic modelling we discuss, implement and apply numerical techniques for e Oleg MalanyukTeaching & PhD Courses Physics III PHYS-200 The students understand and apply the physics of fluids, and the basics of electromagnetism and electronic schemes
Daryl Yee Wei LiangIncoming Assistant Professor of Electrical and Microengineering (March 2023)
Vladimir ManucharyanTeaching & PhD PhD Students Chulwoo Ahn, Marco Nicolas Mueller, Taketo Imaizumi, Andrea Lizzit, Andrea Duina, Nikola Dimitrov Dimitrov Courses Microwave engineering in physics QUANT-410 This course aims at teaching basic notions and tricks of microwave engineering to students with only an elementary knowledge of applied electromagnetism. Emphasis is made on topics that often arise in modern physics experiments, including quantum science and technology research. Quantum mechanics for non-
Ricard Puig I VallsExpertise
I'm interested on Variational Quantum Algorithms, Quantum Simulation and Quantum Metrology and Sensing. Overall in general I love studying how we can exploit quantum resources to surpass the classical limits.
Expertise
I'm interested on Variational Quantum Algorithms, Quantum Simulation and Quantum Metrology and Sensing. Overall in general I love studying how we can exploit quantum resources to surpass the classical limits.
I obtained my BSc in Physics in 2022 from the Autonomous University of Bar
Sanggyu ChongSanggyu "Raymond" Chong obtained his BS, MS and PhD degrees in Chemical and Biomolecular Engineering from Korea Advanced Institute of Science and Technology (KAIST), where he primarily focused on the computational design of metal-organic frameworks for applications ranging from gas storage to functional electronics. In March 2022, Sanggyu joined COSMO as a postdoctoral researcher, and he is currently investigating the robustness of local and/or component-wise predictions made by atomistic machine learning m
Vittorio ErbaTeaching & PhD Courses Statistical physics of computation PHYS-512 The students understand tools from the statistical physics of disordered systems, and apply them to study computational and statistical problems in graph theory, discrete optimisation, inference and machine learning.
Davide TisiGraduated in Physics from 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 neural-network potentials. He joined COSMO as a postdoc in 2022 and he is currently working on simulations of Li-based solid state electrolytes for battery materials.
Francesco ArmillottaExpertise
Surface Science, Scanning Tunneling Microscopy, Desorption Spectroscopy, Heterogeneous Catalysis, Sum Frequency Generation Spectroscopy
I am presently a Postdoc in the Laboratory of Nanostructures at Surfaces (LSN) group, interested in the catalytic properties of surface-confined (sub)nano-structures. Education PhD | 2019 – 2023 University of Trieste
Teaching & PhD Courses Solid state physics PHYS-337 This lecture gives an introduction to Solid State Physics. We
