COMPLEMENTS OF ANALYTICAL CHEMISTRY – 1
Lecturer: Valentina Marassi (CHIM) (Module 1); Jessica Fiori (CHIM) and Donato Calabria (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
Analytical approaches for:
1. Nanorisk assessment in environment/pharma/food (Module 1);
2. Diagnostics and precision medicine (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF ANALYTICAL CHEMISTRY – 2
Lecturer: Federica Mariani (CHIMIND), Isacco Gualandi (CHIMIND) and Erika Scavetta (CHIMIND) (Module 1); Marco Giorgetti (CHIMIND) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
Monitoring applications:
1. Wearable sensors for monitoring vital parameters (Module 1);
2. X-ray monitoring in material science and in the environment (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF PHYSICAL CHEMISTRY – 1
Lecturer: Daniele Fazzi (CHIM) (Module 1), Assimo Maris (CHIM) and Filippo Tamassia (CHIMIND) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
1. Modeling charge and energy transfer processes in organic materials and biosystems: theory and hands-on tutorial (Module 1);
2. Advanced Spectroscopy: Near infrared spectroscopy, FT-IR and Raman spectroscopy (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF PHYSICAL CHEMISTRY – 2
Lecturer: Elisabetta Venuti (CHIMIND), Tommaso Salzillo (CHIMIND) and Luca Muccioli (CHIMIND) (Module 1); Massimo Marcaccio (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
1.1. Spectroscopic techniques and molecular simulations to explore the morphology of organic functional materials (Module 1);
1.2 Vibrational spectroscopy of organic crystals. Laboratory of microspectroscopic characterization of organic crystals (Module 1);
1.3 Modelling of organic materials (Module 1).
2. Electrochemical properties and characterisation of organic semiconductor materials and devices with Lab tutorial (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF ORGANIC CHEMISTRY – 1
Lecturer: Andrea Mazzanti (CHIMIND) (Module 1), Andrea Mancinelli (CHIMIND) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
Laboratory of spectroscopy and computational methods in organic chemistry.
1. Hands on NMR (Module 1);
2. Chirooptical and computational methods (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF ORGANIC CHEMISTRY – 2
Lecturer: Marco Lombardo (CHIM) (Module 1), Marco Lucarini (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
Advanced organic chemistry:
1. Exercises in organic total synthesis (Module 1);
2. Radicals in organic chemistry (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF INORGANIC CHEMISTRY – 1
Lecturer: Stefano Corrà (CHIMIND) (Module 1), Massimiliano Curcio (CHIMIND) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
1. Molecular devices and machines: fundamentals and prospective applications (Module 1);
2. Homogeneous approaches to modern catalysis: sustainability and industrialization (Module 1).
Period: Mar. - Jul. 2025
Dates: t.b.d.
COMPLEMENTS OF INORGANIC CHEMISTRY – 2
Lecturer: Enrico Rampazzo (CHIM) (Module 1), Marianna Marchini (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
1. Inorganic and hybrid nanomaterials (Module 1);
2. How the scientific method drives our research: a critical reading of selected scientific papers (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
CHEMICAL AND BIOLOGICAL WARFARE AGENTS, DISARMAMENT AND NON-PROLIFERATION
Lecturer: Emilio Parisini (CHIM)
Duration: 12 hours
Learning outcomes:
The course covers the main scientific and technological aspects related to chemical and biological weapons, the use of chemical and biological weapons in history and the main international treaties that prevent their development and proliferation. The course is designed for chemistry and biology students but also for students with a basic scientific background. Although some chemical and biological competences are useful, the course can be followed with profit also by students with a background in social sciences and international relations.
Period: Mar. - Jul. 2025
Dates: t.b.d.
INTRODUCTION TO (INTER)DEPARTMENTAL INSTRUMENTATION
Lecturer: Damiano Genovese (CHIM) (Module 1), Simone D’Agostino (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
Introduction and initial training on:
1. Confocal microscopy, FLIM and FCS: principles and applications to (nano)materials (Module 1)
2. Single Crystal Diffraction (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
ADVANCED MATERIALS FOR BATTERIES
Lecturer: Francesca Soavi (CHIM) (Module 1), Catia Arbizzani (CHIM) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes:
1. Advanced inorganic materials for batteries (Module 1);
2. Environmental and safety issues of advanced batteries (Module 2).
Period: Mar. - Jul. 2025
Dates: t.b.d.
INTERFACES, NANOSTRUCTURE AND DEVICES
Lecturer: Vittorio Morandi (CNR Bologna) (Module 1), Fabiola Liscio (CNR Bologna) (Module 2)
Duration: Module 1 = 6 hours, Module 2= 6 hours
Learning outcomes: In this course the students learn the physical principles of state-of-the-art techniques for the characterization of interfaces and nanostructures nanoscale resolution. Moreover, they understand the most important nanotechnology-related concepts that are exploited in the development of modern devices for electronics, sensing and energy conversion. They are able to select the most appropriate techniques to plan a comprehensive investigation of structure and properties of materials and devices for different applications.
Period: Jan. - Feb. 2025
Dates: from 9:00 to 11:00 on Tue 18/02; Thu 20/02; Tue 25/02; Thu 27/02; Tue 04/03; Thu 06/03
PROBING MATERIAL PROPERTIES AT THE NANOSCALE
Lecturer: Tobias Cramer (DIFA)
Duration: 12 hours
Learning outcomes: Structuring materials at nanoscale dimensions provides novel means to tune material properties with important opportunities for different applications such as quantum-computing, bio-interfaces or solar energy conversion. The confinement of materials into nanometric dimensions impacts on their structural, mechanical and electrical properties. However, measuring these properties at small length scales provides novel challenges to characterization experiments. In this PhD course we will start with a brief overview of the topic of nanoscale characterization and then detail on a selected advanced technique. Possible examples are atomic force microscopy, electron microscopy, optoelectronic spectroscopies or X-ray spectroscopies. The lectures will focus on the experimental details and laboratory practice. When possible, laboratory experiments combined with data analysis will be conducted to provide students the practical means to exploit the discussed technique in their PhD projects or later research activities.
Period: Dec. 2024 - Jan. 2025
Dates: t.b.d.
COMPUTATIONAL MATERIALS
Lecturer: Paolo Restuccia (DIFA)
Duration: 12 hours
Learning outcomes:
Computational techniques to design and model materials have become increasingly relevant in studying the properties of solids and liquids at the atomic level. These approaches are especially relevant when detecting and analysing specific physical or chemical processes during experiments is impossible. The course will focus on three commonly used methodologies in materials modelling: density functional theory, molecular dynamics, and kinetic Monte Carlo. Each lecture will provide an in-depth analysis of these techniques, including their theoretical foundations and practical applications.
Density functional theory plays a crucial role in studying the electronic properties of materials and predicting their behaviour at the quantum level. With this technique, it is possible to solve the Schrödinger equation numerically. It has been successfully utilised to investigate the electronic structure of nanomaterials and explore their potential applications in areas such as electronics and energy storage. Molecular dynamics finds extensive use in elucidating the dynamic behaviour of materials at the atomic scale by solving Newton's equations of motion. This approach can efficiently describe atomistic interactions in systems comprising thousands of atoms, such as sliding interfaces and biological systems, with a limited use of computational resources. Finally, Kinetic Monte Carlo simulations can model the evolution of systems ruled by rare events, which is particularly useful in modelling catalytic reactions or the diffusion of atoms over a surface.
Throughout the course, students will better understand these simulation methodologies and their impact on research in Condensed Matter Physics with actual examples. The final exam will require a presentation based on a research article covering applications of the computational approaches presented in the course.
Period: Jan. - Feb. 2025
Dates: t. b. d.
SIGNAL ACQUISITION AND PROCESSING
Lecturer: Alberto Piccioni (DIFA)
Duration: 12 hours
Learning outcomes: Learning Outcomes: In this course the students learn the fundamental principles of the instrumentation for the acquisition and generation of analog signals, including analog-to-digital and digital-to-analog converters, amplifiers and function generators. Furthermore, they gain a basic knowledge of important signal processing techniques such as FFT and digital filtering. Thanks to laboratory sessions, the students are able to design and program a measurement chain for signal acquisition and generation, and can implement the control of a physical process by means of feedback loop techniques. Most of the examples of the course are based on LabVIEW and C++ programming language.
Period: Feb. - Mar. 2025
Dates: 18, 20, 25, 27 Febbraio 2025; 4, 6 Marzo 2025; 14:00 - 16:00
FROM IP MANAGEMENT TO TECHNOLOGY TRANSFER FOR BUSINESS – 1
Lecturer: Pierluigi Reschiglian (CHIM)
Duration: 12 hours
Learning outcomes: Discovery or Invention? The paradox for a researcher-inventor. Patenting, Licensing and IP in University: basics and examples. Business development in the chemical industry.
Period: Mar. - Jul. 2025
Dates: t.b.d.
FROM IP MANAGEMENT TO TECHNOLOGY TRANSFER FOR BUSINESS – 1
Lecturer: Pierluigi Reschiglian (CHIM)
Duration: 12 hours
Learning outcomes: Academic spinoffs: from research to enterprise. The business model definition. Entrepreneurship on an academic basis. Industrial Research and Innovation from an EU perspective: Horizon Europe Financing.
Period: Mar. - Jul. 2025
Dates: t.b.d.