Teaching

Lessons and Courses

Course: Machine Learning for Molecular Physics

Instructor with Prof. Cecilia Clementi at the FU Berlin

Date: Academic Year 2024-2025

Description: Course on Machine Learning for Molecular Physics, held at the FU Berlin.

Lectures:

  • 22.10.: Computer science I - Intro to machine learning
  • 29.10.: Computer science II - Intro to machine learning
  • 05.11.: Computer science III - Deep Learning Architectures I
  • 12.11.: Computer science III - Deep Learning Architectures II
  • 19.11.: Dimensionality reduction and reaction coordinates
  • 26.11.: Featurization of molecular systems
  • 03.12.: ML potentials I
  • 10.12.: ML potentials II
  • 17.12.: ML potentials III
  • 07.01.: ML for coarse-grained potentials
  • 14.01.: Diffusion Models
  • 21.01.: Physical Interpretation of ML Models I
  • 28.01.: Physical Interpretation of ML Models II

Material: The majority of lectures related material can be found in the following zip. Further material, information and exams schedule can be found in the Whiteboard website.

Lessons: Physics of Complex Systems

Date: Academic Year 2022-2023

Description: Lessons in the course Physics of Complex Systems and Applications University of Florence, held by Lorenzo Buffoni, Duccio Fanelli, Francesco Piazza.

Material:

Course: Deep Learning Introduction

Date: April 2023

Description: In this short curse (4 Lessons) we will start from the basis of automatic supervised learning and we will proceed toward the training and analysis of a Deep Neural Network. The course is part of a full school named International School of Dynamical Systems and Applications. The school lessons can be found on YouTube.

Video Lectures:

Lessons: Basics of Modeling and Data Analysis (High School)

Date: February 2023

Description: Modeling and Data Analysis Basics (Under the Italian national project ’Percorso Competenze Trasversali e Orientamento’ - PCTO). Joint activity with Lorenzo Buffoni, Michele Baia, Lorenzo Chicchi.

Python Notebook:

Course: Mechanics (Physics I)

Date: Academic Year 2020 - 2021

Description: Training and Tutoring activities (150 hours) for the Mechanics course (first year Physics). Joint activity with PhD Andrea Guiggiani.

Material: