RESEARCH EXPERIENCE
Institute for Nanoscience, CNR-NANO-S3, Modena, Italy
Advisor: Dr. Arrigo Calzolari
Department of Physics, University of North Texas (UNT), Denton, TX 76203, USA
Advisor: Prof. Oliviero Andreussi
Department of Physics, University of North Texas (UNT), Denton, TX 76203, USA
Advisor: Prof. Oliviero Andreussi
Department of Physics and Astronomy & Laboratory for Nanophotonics,
Rice University, 6100 Main St., Houston, TX 77005, USA
Advisor: Prof. Peter Nordlander
Laboratory for Nanophotonics, Rice University, Houston, TX 77005, USA
Advisor: Prof. Peter Nordlander
EDUCATION
Department of Physics, Informatics and Mathematics, University of Modena and Reggio Emilia & Institute for Nanoscience, CNR-NANO-S3, Modena, Italy
Thesis: Quantifying the plasmonic character of optical excitations at the nanoscale
Advisors: Prof. Stefano Corni, Dr. Arrigo Calzolari, Prof. Elisa Molinari
University of Modena and Reggio Emilia, Modena, Italy
Thesis: π-conjugated carbon-based nanosystems: optical excitations and size-effects
Advisors: Dr. Arrigo Calzolari, Prof. Stefano Corni, Prof. Elisa Molinari
University of Modena and Reggio Emilia, Modena, Italy
Thesis: First principles investigation of the Cu(111) surface
Advisors: Dr. Carlo Cavazzoni, Prof. Giorgio Santoro
CINECA Supercomputing Center, Bologna, Italy
Advisor: Dr. Carlo Cavazzoni
My research interest involves the investigation of electronic and optical properties of solid state materials, nanostructures and molecular assemblies, using state-of-the-art ab initio density-functional theory (DFT), time-dependent DFT, and beyond; modeling catalytic and electrochemical processes on solvated interfaces by means of state-of-the-art implicit solvation schemes for DFT-based condensed matter simulations; and computational modeling of plasmonic nanostructures through advanced electromagnetic simulation techniques.
Currently, my activity focuses on the development, testing and application of first principles simulations and high-throughput workflows for the study of defective and/or complex systems (e.g. disordered, polycrystalline, amorphous, etc.), in order to improve the modeling and understanding of next-generation devices for synaptic electronics and neuromorphic computing, as part of the European project INTERSECT.
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