PHYSICAL CHEMISTRY LABORATORY OF MATERIALS
Academic Year 2024/2025 - Teacher: NUNZIO TUCCITTOExpected Learning Outcomes
The main objective of the course is the development of knowledge in the field of experimental physical chemistry applied to materials science. The training course is developed in three modules: Simulate, Assemble and Evaluate. During the first module "Simulate" we learn the key concepts of the numerical resolution methods of the equations governing the typical processes of materials chemistry. During the second "Assemble" we learn the methods for data acquisition from opto-electronic devices based on functional materials. During the third module "Evaluate" we address the problems deriving from the management of "big-data" in the scientific field, with particular reference to the chemistry of materials.
Specifically:
Knowledge and Ability to Understand: Acquire practical knowledge of methodologies for analyzing materials and the chemical-physical processes that cause their structural and functional changes
Applied Knowledge and Ability to Understand: Ability to apply what has been learned during frontal lectures in experiments performed in the laboratory.
Autonomy of judgment: Students learn to evaluate objectively what they have learned during lectures and laboratory activities
Communication skills: Students acquire communication skills that are developed both during lectures and laboratory activities, thanks to a continuous verbal interlocution with the teacher, and during the oral examination.
Learning Skills: Learning skills are assessed through the oral examination and laboratory reports that are an important part of the course.
Information for students with disabilities and/or SLD
To guarantee equal opportunities and in compliance with the laws in force, interested students can request a personal interview in order to plan any compensatory measures, based on the educational objectives and specific needs.
Course Structure
The course is structured in two sections. The first part of classroom lectures and the second part of experimental laboratory activities
Required Prerequisites
The course aims to provide the student with specific knowledge in the field of materials science with particular reference to laboratory activities.
To this end, technical/practical skills relating to chemical laboratory activities are required. Knowledge of safety regulations to be followed in the laboratory and the rules of good experimental practice are also considered essential.
Attendance of Lessons
Detailed Course Content
Section 1 ° Simulate (Modeling)
Educational Goals
To know
Learn the key concepts of numerical equation resolution methods governing typical materials chemistry processes
Take practical / application knowledge with Monte Carlo simulation methods, coarse-grained, etc.
To do (in comfort-zone)
Modeling of diffusion phenomena, spinodal decomposition, nucleation, and growth
Simulation of complex reaction kinetics
"Reasoned" fitting of stress/strain data of materials with viscoelastic properties
To apply (in "unknown" contexts)
Programming of a simple numerical resolution algorithm of integrals and derivatives
Apply the Montecarlo approach for the simulation of Random Sequential Adsorption processes
Section 2 ° Assemble (Devices)
Educational Goals
To know
Learns methods for data acquisition from active optoelectronic devices based on functional materials
To (in comfort-zone)
Synthesis and deposition of conductive polymers
Deposition of microelectrodes and connection to functional materials
To apply (in "unknown" contexts)
Setting-up of stations for data acquisition from analog/digital
Realization of a device for the sensing of VOC vapors
Section 3 ° Evaluate (Data-treatment)
Educational Goals
To know
Conceiving the concept of "Big-data". Understand the problems deriving from their management in the scientific field, with particular reference to the chemistry of materials
To do (in comfort-zone)
Critical analysis and evaluation of data processing methodologies in specific case studies
To apply (in "unknown" contexts)
Ability to manage "Big-data". Design and implement a suitable data treatment plan
Textbook Information
Please refer to studium website
Course Planning
Subjects | Text References | |
---|---|---|
1 | Risoluzione numerica delle equazioni governanti i processi tipici della chimica dei materiali | Numerical Solution of Ordinary Differential Equations Author(s):Kendall E. Atkinson, Weimin Han, David Stewart First published:27 January 2009 Print ISBN:9780470042946 |Online ISBN:9781118164495 |DOI:10.1002/9781118164495 Copyright © 2009 John Wiley & Son |
2 | Simulazione di cinetiche di reazione complesse | Chemical Kinetics From Molecular Structure to Chemical Reactivity 2nd Author: Luis Arnaut eBook ISBN: 9780444640406 Paperback ISBN: 9780444640390 |
3 | Sintesi e deposizione di polimeri conduttivi | Materiale didattico fornito su Teams |
4 | Deposizione di microeletrodi e connessione ai materiali funzionali | Materiale didattico fornito su Teams |
5 | Analisi critica e valutazione delle metodologie di trattamento dati in precisi casi studio | Quality assurance of chemical measurements John K. Taylor Analytical Chemistry 1981 53 (14), 1588A-1596A DOI: 10.1021/ac00237a001 |
6 | Capacità di gestire “Big-data”. Progettare e realizzare un piano di trattamento dati idoneo | Rodrigues, J.F., Florea, L., de Oliveira, M.C.F. et al. Big data and machine learning for materials science. Discov Mater 1, 12 (2021). https://doi.org/10.1007/s43939-021-00012-0 |
Learning Assessment
Learning Assessment Procedures
Examples of frequently asked questions and / or exercises
Which resolution method would you use for the numerical calculation of the first derivative?
How are conductive polymers deposited?