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The course covers several themes from fundamental research where statistical physics plays the central role:
1. Phase transitions
2. Polymer mechanics
3. Plasmas and electrolytes
4. Stochastic and non-equilibrium processes
Through theoretical description of these phenomena, the students will learn how to construct and use physical models as a mean for the qualitative and quantitative explanation and understanding of phenomena and processes in Nature. The models will be solved using several essential analytical techniques in theoretical physics including mean field theory, variational principle, transfer matrix method, renormalisation group theory, lattice models, classical field theory, Green's functions, etc.
1. Phase transitions
2. Polymer mechanics
3. Plasmas and electrolytes
4. Stochastic and non-equilibrium processes
Through theoretical description of these phenomena, the students will learn how to construct and use physical models as a mean for the qualitative and quantitative explanation and understanding of phenomena and processes in Nature. The models will be solved using several essential analytical techniques in theoretical physics including mean field theory, variational principle, transfer matrix method, renormalisation group theory, lattice models, classical field theory, Green's functions, etc.
About this Module
Student Effort Hours:
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Requirements, Exclusions and Recommendations
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Module Requisites and Incompatibles
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Assessment Strategy
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Carry forward of passed components
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