Ingegneria Meccanica | STATISTICAL PHYSICS FOR INDUSTRIAL ENGINEERING
Ingegneria Meccanica STATISTICAL PHYSICS FOR INDUSTRIAL ENGINEERING
STATISTICAL PHYSICS FOR INDUSTRIAL ENGINEERING
|DIPARTIMENTO DI INGEGNERIA INDUSTRIALE|
|YEAR OF COURSE 2|
|YEAR OF DIDACTIC SYSTEM 2018|
|Educational Objectives: The course explores the basic elements of quantum and statistical physics and their most recent applications in the technological fields of industrial engineering, including cryogenics, sensors, energy, and metrology.|
Knowledge and understanding: The course intends to provide, concisely and suitably to applications,
knowledge of basic concepts of statistical physics and quantum mechanics and their applications.
Ability to apply knowledge and understanding: The course aims to make the student able to assimilate the acquired knowledge and to solve simple exercises towards simple applications.
Communication skills: The course will tend to favor the student's ability to expose the acquired knowledge in a clear and rigorous manner. At the end of the course, the student must be able to provide and handle definitions, laws, problems, and applications concerning the contents of the course itself.
Judging autonomy: Students are guided to learn critically and responsibly all that is explained to them in the classroom and to enrich their judgment skills through the study of the teaching material.
|Prerequisites: The course requires prior basic knowledge of classical physics, mechanics and|
electromagnetism, as well as of linear algebra, geometry, and differential and integral calculus.
|Contents: Hours of lessons: 40, Hours of Exercises: 20|
Programme: Part A) Thermodynamics and statistical mechanics of irreversible processes. Equilibrium and
non-equilibrium dynamics: fluctuation-dissipation relations, entropy production. Markovian and nonMarkovian evolutions of open systems. Phase transitions, characterization and classification. Critical points and order parameters. Examples in solid-state systems: magnetic and superconducting transitions.
Applications to energy production and transformation cycles. Thermoelectric effects: Seebeck, Peltier,
Thomson. Applications: thermocouples and Peltier cells. Magnetocaloric, electrocaloric, and elastocaloric materials. Applications: novel refrigeration systems.
Part B) Quantum technologies. Elements of quantum physics: basic postulates. Quantum coherence and the
superposition principle. Uncertainty relations, quantum entanglement. Applications: quantum sensors and metrology at the Heisenberg limit. Atomic clocks, imaging, lithography, and magnetometry. Nano-probes.
Applications - quantum optics: the laser. Integrated photonics. Applications - quantum devices: quantum
materials for energy production and storage. Fundamentals of photovoltaic cells, theoretical absolute efficiency. Principles of artificial photosynthesis. Artificial systems with hydrogen production.
Thermoelectricity and quantum physics: the "phonon-glass electron-crystal" materials and the future of
|Teaching Methods: Teaching consists of 40 hours of frontal lessons and 20 hours of exercises plus a|
number of hours of tutoring. Exercises will concern the topics discussed in the lesson.
|Verification of learning|
|Learning Verification Modes: The achievement of the objectives will be certified by an oral final exam with thirty as maximum score. Minimum score to get the exam approved is 18/30. THE GRADE 30 OUT OF 30 IS PROPOSED TO THE STUDENTS WHO SHOW SOUND SOLUTION UNDER QUALITATIVE AND QUANTITATIVE POINT OF VIEWS WITH THOROUGH AND DEEP KNOWLEDGE OF THE COURSE TOPICS.|
|Reference texts: Online lecture notes and textbook excerpts therein. Technical review papers|
|SUBJECT DELIVERED IN ITALIAN.|
BETA VERSION Data source ESSE3 [Ultima Sincronizzazione: 2022-05-23]