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Dottorato di Ricerca in Fisica - XL ciclo - a.a. 2024/2025
Pubblicato il bando per l'ammissione al XL ciclo del dottorato di ricerca in fisica.La procedura di iscrizione on line sarà disponibile dalle ore 12,00 (ora locale) del 3...
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Industrial applications of laser-induced graphene
The discovery of graphene, the first two-dimensional carbon-based nanomaterialwith exceptional mechanical, electronic and thermal properties, has stimulatedintense scientific...
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Characterization and control of molecular qudits for quantum algorithms
The research activity of the Ph.D. candidate will focus on the study of molecularcompounds as qudits, quantum systems with many exploitable levels for quantumalgorithms. These...
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Reversible-binding aptamers for single-molecule imaging
We plan to modulate the binding between aptamers and specific target proteins in acontrolled manner with the aim of realising effective molecule-probes for advancedimaging...
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Quantitative aspects of Single Molecule fluorescence Microscopy and Spectroscopy
In the era of super-resolved fluorescence microscopy [1], one of the fundamental aspects is relatedto the relationship between the biophysical question and the specimen...
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New aspects and applications of field theories
This project will deal with new applications of field theoretical methods, aiming at aninterdisciplinary landscape of applications, ranging from quantum field theory tocomplex...
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Emulsion Dynamics on Earth and in Microgravity
Emulsions are colloidal dispersions of two or more immiscible liquids. They arecentral in a great number of processes and products where effective methodologiesare required,...
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Comparing feature learning in deep networks in and out of equilibrium: a statistical physics approach
In modern artificially intelligent systems, one of the major challenges is understandinghow deep neural networks learn features during training. Recently,our team at Unipr...
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Application of artificial intelligence protocols to semiconductor oxides for the development of aroma sensors
The research proposed here is intended to identify and develop artificial intelligence(AI) models, in the form of both machine learning algorithms and neural networks, tobe...
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Learning Early Universe Physics with Galaxy Survey and Gravitational Wave Data
The main goal of this project is to develop a full methodology to produce strongconstraints on cosmological models with the use of datasets that will becomeavailable over the...