PX918-10 Electronic structure theory for experiments and models
Introductory description
N/A.
Module aims
To provide students with an understanding of how properties measured experimentally can be described from an ab-initio electronic structure theory and an appreciation of successes and current shortcomings. To show how parameters for alloys and magnets can be calculated, tested against experiment and used in modelling properties at finite temperatures. This will be conveyed via lectures, tutorial workshops, guest seminars and web-pages.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
- Overview of the quantum many body problem of the interacting electrons and nuclei in materials
a) introduction to 2nd quantisation and 1- and 2-electron Green functions
b) excitation spectra, quasiparticles and spectroscopy measurements
c) Fermi surface, electron momentum density - Recap of electron Density Functional Theory - relationship of Kohn-Sham electronic structure to spectroscopy measurements. Starting point for many body Green function descriptions.
- Description of transport properties ab-initio
a) Sommerfeld theory
b) Beyond the relaxation time approximation - Linear response and collective electron effects
a) dielectric response
b) spin susceptibility and spin waves
c) X-ray and neutron scattering experiments
d) DFT-based calculations - DFT and finite temperatures
a) time scale separation of electronic and nuclear motion, phonons, electron-phonon effects.
b) atom-atom interchange parameters from DFT for Bragg-Williams models of alloys, CALPHAD database
c) identification of 'local moment' degrees of freedom in magnetic materials and spin model construction
d) atom and spin correlation functions - tested against X-ray and neutron scattering data
e) modelling alloy and magnetic phase diagrams ab-initio and T-dependent electronic
structure -
- Strong electron correlation effects
a) Self-interaction correlation, DFT+U and brief overview of Dynamical Mean Field Theory
b) Examples
c) Outstanding challenges.
- Strong electron correlation effects
Learning outcomes
By the end of the module, students should be able to:
- It is expected that by the end of this module students will be able to understand the basis to quantum many body theory and the context for Density Functional Theory.
- It is expected that by the end of this module students will be able to appreciate what in principle needs to be calculated to test theory with and interpret spectroscopy, scattering and transport measurements.
- It is expected that by the end of this module students will be able to understand some collective electron effects and how they are explored experimentally and modelled computationally.
- It is expected that by the end of this module students will be able to appreciate how temperature dependent materials properties can be described by the identification and calculation of ab-initio parameters and used in appropriate models; examples of alloy and magnetic phase diagrams.
- It is expected that by the end of this module students will be able to engage with cutting-edge topics in the study of strongly correlated electron materials.
Indicative reading list
‘Electronic Structure’ by Richard Martin (C.U.P)
‘Principles of Condensed Matter Physics’ by P.M. Chaikin and T.C. Lubensky
Subject specific skills
understand the basis to quantum many body theory and the context for Density Functional Theory.
appreciate what in principle needs to be calculated to test theory with and interpret spectroscopy, scattering and transport measurements
understand some collective electron effects and how they are explored experimentally and modelled computationally
appreciate how temperature dependent materials properties can be described by the identification and calculation of ab-initio parameters and used in appropriate models; examples of alloy and magnetic phase diagrams
engage with cutting-edge topics in the study of strongly correlated electron materials
Transferable skills
Mathematical Model-building, comparison to experiment, mathematics, programming and scripting.
Study time
Type | Required |
---|---|
Lectures | 20 sessions of 1 hour (20%) |
Seminars | 5 sessions of 1 hour (5%) |
Tutorials | 5 sessions of 1 hour (5%) |
Private study | 50 hours (50%) |
Assessment | 20 hours (20%) |
Total | 100 hours |
Private study description
Further reading etc
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D1
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Presentation | 60% | 10 hours | No |
Oral presentation of key findings from 1 scientific journal article in 20 minute presentation followed by 5 minutes of questions on material from audience. |
|||
Viva | 40% | 10 hours | No |
Viva examination of 30 minutes on module material. |
Feedback on assessment
Oral presentations will be double marked during the oral assessment day (by Teaching Fellow and Module Leader) and feedback in the form of written comments within 1 week of the assessment day.
Viva examination will be conducted by Module Leader and Teaching Fellow.
Oral feedback will be given shortly after the viva.
There is currently no information about the courses for which this module is core or optional.