Topics in Theoretical Physics
Keywords |
Classification |
Keyword |
OFICIAL |
Physics |
Instance: 2024/2025 - 2S 
Cycles of Study/Courses
Acronym |
No. of Students |
Study Plan |
Curricular Years |
Credits UCN |
Credits ECTS |
Contact hours |
Total Time |
M:F |
19 |
Official Study Plan |
1 |
- |
6 |
42 |
162 |
Teaching Staff - Responsibilities
Teaching language
English
Objectives
This course unit will be organized into two modules, whose content and assessment will be independent:
- Module 1: Electronic Transport in Disordered Systems:
- Learn to address non-equilibrium problems, particularly electronic transport in both the linear and nonlinear regimes.
- Learn to use perturbative methods to include disorder contributions in the calculation of electronic transport quantities.
- Module 2: Applications of Field Theory methods to Statistical Physics:
- Learn to describe and classify the states of matter, their collective properties and the mechanisms of transformation from one phase to another.
- Use methods from classical field theories; use of symmetries, treatment of nonlinearities by perturbation theory and renormalization group (RG) method.
- Provide sufficient familiarity with this subject to enable one to follow the current literature on subjects such as phase transitions, growth phenomena, polymers, superconductors, etc.
Learning outcomes and competences
- Module of Electronic Transport in Disordered Systems
- Acquire fundamental techniques for calculating electronic transport properties in disordered systems.
- Module of applications of Field Theory methods to Statistical Physics:
- Demonstrate the ability to understand concepts, models and techniques of Field Theory applied to Statistical Physics.
- Develop skills and knowledge that streamline research and development activities, in particular, that facilitate the reading and understanding of literature in the field.
Working method
Presencial
Pre-requirements (prior knowledge) and co-requirements (common knowledge)
- Module of Electronic Transport in Disordered Systems
- Prerequisites: Knowledge of Quantum Mechanics, Statistical Physics, and Solid State Physics
- Module of applications of Field Theory methods to Statistical Physics:
- Prerequisites: Good knowledge of Statistical Physics is essential.
Program
Module of Electronic Transport in Disordered Systems
- Linear response theory
- Green’s functions
- Equations of motion
- Green’s functions in imaginary time
- Feynman diagrams and disordered external potentials
Module of applications of Field Theory methods to Statistical Physics:
- Collective behavior, from particles to fields
- Statistical fields and the Landau–Ginzburg Hamiltonian
- Fluctuations and Gaussian integrals
- Critical correlation functions, self-similarity and renormalization
- Perturbative renormalization group
- Topological defects and the XY model
- Critical and dissipative dynamics
Mandatory literature
Kardar, M.; Statistical Physics of Fields, Cambridge University Press, 2007. ISBN: 9780521873413
Bruus , Henrik;
Many-body quantum theory in condensed matter physics : an introduction. ISBN: 0-19-856633-6
Complementary Bibliography
Täuber, U.C.; Critical Dynamics: A Field Theory Approach to Equilibrium and Non-Equilibrium Scaling Behavior, Cambridge University Press, 2014. ISBN: 9780521842235
Comments from the literature
Teaching methods and learning activities
Module of Electronic Transport in Disordered Systems
- In-person expository classes.
Module of applications of Field Theory methods to Statistical Physics:
- Theoretical classes in discussion group format. Problem-based classes in discussion group format. Preparation of a review of a scientific article.
Evaluation Type
Distributed evaluation with final exam
Assessment Components
designation |
Weight (%) |
Exame |
70,00 |
Participação presencial |
20,00 |
Trabalho escrito |
10,00 |
Total: |
100,00 |
Amount of time allocated to each course unit
designation |
Time (hours) |
Estudo autónomo |
120,00 |
Frequência das aulas |
42,00 |
Total: |
162,00 |
Eligibility for exams
Maximum of two absences from problem classes in each module.
Calculation formula of final grade
The final grade, on a scale of 0-20, will be the sum of the grades obtained in each module, with each module being graded for this purpose between 0-10 points. The grade for each module will be calculated as follows:
MODULE 1 GRADE (0-10) = 100% (final exam to be taken at the end of the module)
MODULE 2 GRADE (0-10) = 40% (final exam) + 20% (participation in theoretical classes) + 20% (participation in problem-solving classes) + 20% (article review)
The final grade will be given by:
FINAL GRADE (0-20) = MODULE 1 GRADE + MODULE 2 GRADE
Examinations or Special Assignments
Internship work/project
Special assessment (TE, DA, ...)
Classification improvement
In both modules, only the final written exam component can be improved.
Observations