Syllabus
Module-1
Introduction : Computational simulation, need for discrete computation.
Classical Mechanics: Mechanics of Particles, D’Alembert’s principle and Lagrange’s equation, variational principles, Hamilton’s principle, conservation theorems and symmetry properties, central force problems, virial theorem.
Module-2
Statistical Mechanics: Review of probability and statistics, quantum states of a system, equations of state, canonical and micro canonical ensemble, partition function, energy levels for molecules, equi partition theorem, minimizing the free energy, partition function for identical particles, Maxwell distribution of molecular speeds.
Module-3
Molecular dynamics : basic machinery, running, measuring, and analyzing, inter atomic potentials, LAMMPS, Examples.
Introduction to Multiscale methods and applications. Introduction to Data driven modeling and scientific computation.