National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

Subject {L-T-P / C} : CY5302 : Computational Chemistry { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Madhurima Jana

Syllabus

Module 1 :

Theory, computation and modelling: definition of terms, computable quantities, cost and efficiency. Computational quantum mechanics (QM): electronic structure methods semi empirical methods, semi empirical implementations of molecular Orbital theory, ab-initio implementation of Hartree-Fock molecular orbital theory, basis sets, electron correlation methods Density functional theory applications. Molecular mechanics (MM): fundamental assumptions, potential energy functional forms, force-field energies and thermodynamics, geometry optimization, force-field and docking. Molecular simulation: phase space, and trajectories, Molecular Dynamics and Monte Carlo methods, properties as ensembles and time averages of trajectories, force-field performance in simulations. Hybrid QM/MM: models and applications. Solvation: implicit and explicit solvent models and applications. Case studies: gauche-butane interactions of 1,3-butadiene, effect of basis sets on total energy of some small organic molecules etc.

Course Objective

1 .

The course aims to discuss the use of sets of theories and techniques for investigating chemical problems on computer and interprets the results with the experimental data.

2 .

To understand the dynamics of structural transitions.

3 .

Student will learn modelling of molecular structures.

4 .

To enhance capability to build careers in academia and industry of molecular modelling.

Course Outcome

1 .

CO1: It will provide theoretical framework of computational chemistry methods.
CO2: It would help students to understand the strengths and limitations of each technique. This would help students to link between theory and experiments.
CO3: It provides basic understanding and importance on Electronic structure models for the prediction of
energies, thermodynamic quantities, geometries, and electronic and spectral properties.
CO4: It provides the knowledge on Empirical force field models and their use in chemical and biochemical
studies.
CO5:The course further demonstrates a working knowledge of a range of computational chemistry packages.

Essential Reading

1 .

Donald A. McQuarrie and John D. Simon,, Physical Chemistry: A molecular approach, University Science Books, 1997

2 .

Franck Jensen, Introduction to Computational Chemistry, 2nd Ed., John Wiley & Sons Ltd. (2007).

Supplementary Reading

1 .

M. P. Allen and D. J. Tildesley, Computer Simulation of Liquids, Oxford. Reprint 2009.

2 .

J. B. Foresman, A. Frisch,, Exploring Chemistry with Electronic Structure Methods, Gaussian Inc., 1996.