66956 - Physico-Chemical Methods in Materials Science

Learning outcomes

The objective of this course is to familiarize the student with physical-chemistry measurement techniques and instrumentations applied to the characterization of conventional and innovative materials. The approach is from both theoretical and experimental points of view. The acquired knowledge of these subjects will allow the assessment of the possible choices of materials that are suitable for the applications or functionalities for which a product has to be designed.

Course contents

Pre-requisites

- Elementary functions: powers, roots, trigonometric, exponential and logarithmic functions. Solution of second degree algebraic equations. Basic knowledge of differential and integral calculus for functions of a real variable. (Teaching activity: Mathematics with exercises)

- Knowledge of the main physical parameters and of the relations that link them; main units of measurement. (Teaching activity: Physics with exercises)

- Knowledge of the main parameters and equations of equilibrium Termodynamics. Basic elements of Quantum chemistry (energy levels, orbitals) and of Absorption spectroscopy. (Teaching activity: Physical Chemistry, Physical Chemistry of Materials)

Program

The course has the dual objective of 1) introducing the theoretical aspects of fluorescence spectroscopy and the chemical-physical phenomena involved in it 2) using the experimental results of fluorescence measurements as an opportunity for learning elements of programming with the Python language, with particular attention to graphing and mathematical analysis of experimental data with (distributions, correlations, regressions, optimizations).

Readings/Bibliography

Lecture notes.

P.W. Atkins and J. de Paula, Chimica Fisica, Zanichelli, 2020.

A. Kohler, H. Bassler "Electronic Processes in Organic Semiconductors" Wiley 2015

W. McKinney “Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter” 3^rd Edition, O’Reilly, 2022. https://wesmckinney .com/book/

Teaching methods

Frontal lessons in the classroom using the "google colab" platform.

Experimental activity in the laboratory (only one session foreseen).

In consideration of the types of activities and teaching methods adopted, the attendance of this training activity requires that all students carry out training on safety and health modules 1 and 2 in e-learning mode and participate to module 3. See https://www.unibo.it/it/servizi-e-opportunita/salute-e-assistenza/salute-e-sicurezza/sicurezza-e-salute-nei-luoghi-di-studio-e-tirocinio

Assessment methods

The final examination consists in the oral discussion of a project in python language for the analysis of experimental data. The topic of the project is agreed with the teacher a few weeks before the exam.

Teaching tools

Slide projector, Personal Computers or smartphones, Blackboard.

The teaching material presented in class will be made available to the student in electronic online format.

Office hours

See the website of Luca Muccioli