Numerical Modelling for Condensed Matter
Who: Physics postgraduate researchers seeking an introduction to different methods of numerical modelling in condensed matter physics.
What: A 3-day residential workshop led by senior researchers in the SEPnet region comprising lectures, tutorials, seminars and other activities.
When: 14-16 January 2018
Where: Old Thorns Manor Hotel, Liphook, Hampshire.
Numbers: Circa 20-25 delegates
This interactive residential school is designed for PhD students who would benefit from an introduction to different methods of numerical modelling in condensed matter physics: Monte Carlo, molecular dynamics, and first-principles quantum mechanical simulation. These fundamental and widely-used simulation techniques could support theoretical, computational or experimental PhD projects. The sessions comprise lectures on principles followed by an opportunity for hands-on practice.
Molecular dynamics is used to model molecular configurations, molecular interactions and the dynamics of molecules at nano time and length scales. The school will introduce some of the key software packages available and offer students hands-on experience in one of them.
The key to success with molecular dynamics is to have good, validated interatomic potentials. These are obtained through density functional theory and quantum mechanical calculations. The workshop will include an introduction to these methods.
Molecular dynamics is too computationally expensive in both time and memory to model large ensembles of atoms and molecules over longer timescales. This is where Monte Carlo methods take over. The school will explore some of the varied applications of Monte Carlo simulations in Physics and to put some into practise.
Your travel expenses, meals and accommodation are covered by SEPnet.
Register here using your VRE login. Deadline to register is 8 December 2017. If you do not have a VRE (Virtual Research Environment)login please contact your local GRADnet Administrator for assistance.
Cristobel Soares-Smith SEPnet Graduate Network Administrator mailto:email@example.com 01483 682270 www.sepnet.ac.uk