This is the elearning page of the second part of the course of Mathematical Physics, mainly focused on the study of models arising in fluid mechanics and kinetic theory.

Introduction to advanced aspects of Relativistic Quantum Field Theory

General objective of the course is to familiarise with advanced deep learning techniques based on differentiable neural network models with different learning paradigms; to acquire skills in modelling complex problems, through deep learning technique

The course will mainly focus on: - mean-field methods to treat electron-electron interactions- magnetism- transport theory (Boltzmann equation)

COMPUTATIONAL BIOPHYSICS (CB_23_24) SYLLABUS doing physical  biology with models and computers: from the Born-Oppenheimer approximation to molecular dynamics; from the space of biological sequences to integrative modelling of syst

The goal of the course is to provide the students with the theoretical background and the hands-on experience of two numerical approaches to treat the quantum-many body problem in condensed matter: (a) Density Functional Theory, i.e. the current

Corso di fisica fondamentale per applicazioni astrofisiche. 
Introduzione al plasma e applicazioni astrofisiche; magnetoidrodinamica; richiami di relatività ristretta; trasporto radiativo processi astrofisici.

Physics Laboratory II Curriculunm Biosystems 2023-2024docente: Alessandro Nucara

Lezioni: 11-13 Aula 2 N.E. Fisica

The course is thought to be an introduction to models in statistical physics where the disorder plays a central role: these are not only disordered physical systems but also problems where the presence of frustration and/or the lack of perfect knowle

General formalism of Quantum Field Theory.

Questo corso è un insegnamento avanzato che ha lo scopo di guidare gli studenti nel territorio all'interfaccia tra la fisica statistica e il machine learning introducendo nozioni avanzate di meccanica statistica di equilibrio e fuori equilibrio dei

The main objective of this course is to provide an introduction to up-to-date computational methods currently used at the front line of research in different fields of Physics; this is why four independent courses (channels) are offered under the sam

 

L'obiettivo generale del corso è quello di acquisire familiarità con tecniche avanzate di deep learning basato su modelli di reti neurali differenziabili con differenti paradigmi di apprendimento; acquisire competenze di modellizzazione di problemi

The main objective of Computing Methods for Physics is to provide an introduction to up-to-date computational methods currently used in our fields of research; this is why four different courses (channels) are offered under one title.This channel is

Corso di fisica fondamentale per applicazioni astrofisiche. 
Introduzione al plasma e applicazioni astrofisiche; magnetoidrodinamica; richiami di relatività ristretta; trasporto radiativo processi astrofisici.