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Statistical Mechanics of Phases and Phase Transitions

By Prof. Vijay Balakrishna Shenoy   |   IISc Bangalore
Learners enrolled: 221   |  Exam registration: 5
ABOUT THE COURSE:

When many constituents interact, such as molecules in a material or cells in the body, they organize themselves into phases (such as solids, liquids, etc.). What exactly is a phase, and how do we describe it? We also know that we can change phases (such as by melting ice, we change from solid to liquid phase). What brings about these phase changes? How do we describe the phase transitions? This course explores statistical mechanics concepts that help address these questions, building from basic principles and culminating in modern applications such as quantum memories and even statistical mechanics approaches to machine learning. The course should be accessible to a wide audience with basic knowledge of classical/quantum mechanics and elementary statistical mechanics.

INTENDED AUDIENCE: Graduate students in physical, chemical sciences, and engineering, teacher/researchers intending to do a refresher course

PREREQUISITES: Classical Mechanics/Quantum Mechanics/Statistical Mechanics at Graduate Level
Summary
Course Status : Ongoing
Course Type : Core
Language for course content : English
Duration : 12 weeks
Category :
  • Physics
Credit Points : 3
Level : Undergraduate/Postgraduate
Start Date : 19 Jan 2026
End Date : 10 Apr 2026
Enrollment Ends : 02 Feb 2026
Exam Registration Ends : 20 Feb 2026
Exam Date : 24 Apr 2026 IST
NCrF Level   : 4.5 — 8.0

Note: This exam date is subject to change based on seat availability. You can check final exam date on your hall ticket.


Page Visits



Course layout

Week 1:  Course Overview/Brief Review of Basics

Week 2: Models, Symmetries, Scales, and Phases
1. Some “standard models” like Ising, Heisenberg models
2. Symmetries and scales

Week 3: Characterization of phases
1. Broken symmetries, order parameter
2. Linear response theory

Week 4 & 5: Interacting Systems - Analysis Techniques
1. Imperfect gases
2. Exact solutions (1D Ising model)
3. High-temperature expansions

Week 6: Numerical methods
1. Monte-Carlo Method

Week 7: Landau-Ginzburg Theory
1. Mean field theory
2. Landau theory
3. Fluctuations (including Mermin-Wagner theorem)

Week 8: Phase Transitions/Critical Phenomena
1. Universal physics at critical points
2. Scaling hypothesis and the renormalization group

Week 9: Renormalization Group
1. Kadanoff block-spin approach
2. Wilson’s formulation of the renormalization group

Week 10: Near Lower Critical Dimensions
1. Fluctuation effects near lower critical dimension

Week 11: Defect Mediated Transitions
1. Topological defects
2. Kosterliz-Thouless theory

Week 12: Case Studies of Contemporary Applications
1. Quantum memories: topologically ordered states, toric code
2. Statistical mechanics view of machine learning

Books and references

Kardar, M., Statistical Physics of Fields, Cambridge University Press (2012, online edition)

Instructor bio

Prof. Vijay Balakrishna Shenoy

IISc Bangalore
Prof. Vijay Shenoy joined IISc Bengaluru in 2002 and is currently Professor of physics working in the area of condensed matter theory. More information can be found on his web page https://physics.iisc.ac.in/~shenoy/

Course certificate

The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
Date and Time of Exams: April 18, 2026 Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
Registration url: Announcements will be made when the registration form is open for registrations.
The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

Please note that assignments encompass all types (including quizzes, programming tasks, and essay submissions) available in the specific week.

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IISc Bangalore. It will be e-verifiable at nptel.ac.in/noc.

Only the e-certificate will be made available. Hard copies will not be dispatched.

Once again, thanks for your interest in our online courses and certification. Happy learning.

- NPTEL team
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