NPTEL : NOC:Introduction to Polymer Physics (IIT-R) (Chemical Engineering)

Co-ordinators : Prof. Prateek Kumar Jha


Lecture 1 - Introduction to the course, Macromolecules and Life, Molecular flexibility

Lecture 2 - Classification of polymers, Types of polymerization, Average molecular weights and polydispersity

Lecture 3 - Motivation to study polymer physics

Lecture 4 - Random Walk Models of Single Chain I: end-to-end distance of a polymer chain, freely jointed chain, drunkard walk

Lecture 5 - Random Walk Models of Single Chain II: general random walk on a lattice

Lecture 6 - Random Walk Models of Single Chain III: Freely rotating chain, definition of persistence length

Lecture 7 - Models of semiflexible chains (Kratky Porod Model) - Part I

Lecture 8 - Models of semiflexible chains (Kratky Porod Model) - Part II

Lecture 9 - Probability density of an ideal chain - Part I

Lecture 10 - Probability density of an ideal chain - Part II

Lecture 11 - Entropic Elasticity, Bead-Spring Model, Simulations of random walk models

Lecture 12 - Derivation of Diffusion equation, Einstein notation

Lecture 13 - Definition of Radius of gyration

Lecture 14 - Radius of gyration for an ideal chain, concept of ideality

Lecture 15 - Nonbonded interactions, hydrophobic and hydrophilic behaviour

Lecture 16 - Definition of excluded volume; good, bad, and theta solvent

Lecture 17 - Virial expansion, Flory theory for good solvent

Lecture 18 - Flory theory for bad solvent, self-similarity and fractal nature of polymers

Lecture 19 - Derivation of fractal dimension, concentration regimes and overlap concentration

Lecture 20 - Size, shape, and structure. Gyration tensor and measures of asphericity.

Lecture 21 - Order-disorder transition

Lecture 22 - Scattering experiments, Pair correlation function

Lecture 23 - Structure of polymer chain, Introduction to Monte Carlo simulations of polymer chains

Lecture 24 - Monte Carlo algorithm: Detailed Balance, Metropolis algorithm

Lecture 25 - Practical aspects of Monte Carlo simulation

Lecture 26 - Molecular Dynamics Simulations, Review of Thermodynamics

Lecture 27 - Solution Thermodynamics - I

Lecture 28 - Solution Thermodynamics - II

Lecture 29 - Solution Thermodynamics - III

Lecture 30 - Solution Thermodynamics - IV

Lecture 31 - Phase separation regime, Introduction to lattice model of solutions

Lecture 32 - Lattice Model of Solutions - I

Lecture 33 - Lattice Model of Solutions - II

Lecture 34 - Phase behaviour of liquid solutions

Lecture 35 - Lattice models of polymeric systems

Lecture 36 - Brownian motion - I

Lecture 37 - Brownian motion - II

Lecture 38 - Brownian motion - III

Lecture 39 - Brownian motion - IV

Lecture 40 - Brownian motion - V

Lecture 41 - Rouse Model - I

Lecture 42 - Rouse Model - II

Lecture 43 - Rouse Model - III

Lecture 44 - Rouse Model - IV

Lecture 45 - Problems in Rouse Model, Hydrodynamic Interactions

Lecture 46 - Zimm Model - I

Lecture 47 - Zimm Model - II

Lecture 48 - Continuum Mechanics - I

Lecture 49 - Continuum Mechanics - II

Lecture 50 - Kuhn’s Theory of Rubber Elasticity

Lecture 51 - Elasticity of polymer network

Lecture 52 - Microscopic definition of stress tensor - I

Lecture 53 - Microscopic definition of stress tensor - II, Dumbbell model, introduction to Rouse model

Lecture 54 - Models for entangled polymeric systems - I

Lecture 55 - Models for entangled polymeric systems - II

Lecture 56 - Rheology of complex fluids

Lecture 57 - Rheometers and rheological tests - I

Lecture 58 - Rheometers and rheological tests - II

Lecture 59 - Maxwell model - I

Lecture 60 - Maxwell model - II, Closing notes