
it gives a very fundamental idea about the computational chemistry and what types of methods are present in computational chemistry
Explore the potential energy surface, linking structure to energy, computed at zero kelvin. Build it by scanning bond lengths and angles on a grid, illustrating dimensionality with diatomic and ozone.
Explore the hypersurface concept by analyzing the potential energy surface for ozone to iso ozone conversion, identifying minima, a transition state, and the reaction coordinate.
Use the Newton-Raphson geometry optimization to locate stationary points on the potential energy surface, distinguishing local minima from transition states by gradient and Hessian analyses.
Derive normal modes from the Hessian by diagonalization; eigenvectors define mode directions and eigenvalues are force constants. Include translations, rotations, and vibrations; imaginary frequencies indicate transition states under harmonic approximation.
Analyze the given frequency data to identify a true minimum, a transition state with one imaginary frequency, and an inaccurate transition state, using the sign and count of imaginary frequencies.
Explore zero point vibrational energy and its role in reaction profiles, and learn how partition functions describe the distribution of electronic, translational, rotational, and vibrational energies to thermodynamic quantities.
Explain translational, rotational, and vibrational partition functions for an ideal gas, deriving translational and rotational energies as 3/2 RT, and outlining vibrational frequencies in internal energy and entropy.
Explore the postulates of quantum mechanics and ab initio electronic structure methods, focusing on wave functions, Hermitian operators, eigenvalues, and the role of the Schrödinger equation in predicting electronic properties.
Explore the molecular Hamiltonian and Born-Oppenheimer approximation, deriving a four-term electronic Hamiltonian with fixed nuclei. Obtain the electronic energy from the Schrödinger equation and add nuclear repulsion for total energy.
Explain how the Slater determinant enforces indistinguishability and antisymmetry in Hartree-Fock theory, linking molecular orbitals as linear combinations of basis functions and variationally optimizing coefficients to include exchange effects.
Develop and solve Hartree-Fock equations using the Fock operator to obtain molecular orbitals and the Slater determinant for total energy via self-consistent field iterations.
Learn perturbation theory in post-hartree-fock methods, deriving zeroth, first, and second order energy and wave-function corrections from a solvable h0 and a perturbation v.
Apply perturbation theory to chemical problems with the Fock operator h0, link zeroth/first order to Hartree–Fock energy, and derive MP2 as second-order correction, noting electron correlation and non-variational, high cost.
Dive into coupled cluster calculations, using an exponential T operator to include single, double, and perturbative triple excitations for a size-consistent, gold-standard quantum chemical method.
Calculate correlation energy and percent correlation energy for post-Hartree-Fock methods (MP2, CISD, CCD, CCSD, CCSDT) using HF as zero reference for hydrofluoric acid, with CCSDT at 100%.
Learn density functional theory and how the Hohenberg-Kohn theorems link ground-state energy to electron density. Examine Thomas-Fermi theory and its limitations in kinetic energy and electron interactions.
Compare empirical versus non-empirical exchange-correlation functionals in density functional theory. Learn LDA, GGA, meta-GGA, and hybrid functionals with examples like BP86, PW91, PBE, and B3LYP.
Explain basis set types from single to quadruple zeta, including contracted and primitive Gaussians, split valence, and polarization functions, plus core valence considerations and correlation consistent sets.
We calculate primitive and contracted Gaussian functions for water with the STO3g minimal basis, showing oxygen with 5 contracted and 15 primitive, and hydrogen with 2 contracted and 6 primitive.
Learn how polarization and diffuse functions extend basis sets like 6311 GDP, with oxygen and water as examples, and interpret star notation and heavy vs light atoms.
In this practice problem, compute primitive and contracted Gaussian functions for C2H4 using a 6-31G ADP basis with DP polarization and no diffuse function.
Computational Chemistry involves application of numerical methods for solving the problems related to chemical systems. Mastering in computational chemistry involves not only hands on practice of Computational software, but also requires understanding the underlying theory, computational methods and approaches to solve chemical problems. In this course, students will learn the theoretical framework of computational chemistry methods necessary for understanding of methods. Practical understanding of the strengths, weaknesses, and ranges of applicability of different methods is also presented in this course. This knowledge will allow for the critical evaluation of the validity and accuracy of results and of the conclusions derived from the computational chemistry modelling of chemical problems. Finally, description of a few properties is also given which will give students an idea like how the properties are calculated through computational tools.
The following topics will be discussed in this course:
· Potential Energy Surface
· Minima and Saddle Points
· Thermodynamics and Normal Mode Analysis
· Schrodinger Wave Equation
· Molecular Hamiltonian and Born-Oppenheimer Approximation
· Hartree-Fock Method
· Post Hartree-Fock Methods
· Static and Dynamic Correlation
· Density Functional Theory
· Basis Functions and Basis Sets
· Excited States
· Restricted and Open Shell Systems
· Cost and Accuracy
· Strategies to Reduce Cost of Computational methods
· Molecular Mechanics
· Semi-Empirical Methods
· Properties Calculations