PHYSICAL CHEMISTRY LABORATORY OF MATERIALS

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.

The course is structured in two sections. The first part of classroom​ lectures and the second part of experimental laboratory activities

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.

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

Please refer to studium website

Which resolution method would you use for the numerical calculation of the first derivative?

How are conductive polymers deposited?