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Master Computational Chemistry Simulations with Gaussian

Learn Gaussian for chemistry simulations! Perfect for beginners. Solve chemical problems with this powerful computational chemistry tool.

4.6(19)
83students
6h 19m
Certificate
Khurshid Ayub
Khurshid AyubComputatonal Chemist / Data Scientist/ Materials Chemist

Course Content

Master Computational Chemistry Simulations with Gaussian is a beginner-level Udemy course taught by Khurshid Ayub. It runs 6h 19m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 19 reviews, with 83 students enrolled. It is a paid course, first published May 2025.

Discover the power of computational chemistry with this comprehensive, beginner-friendly course! Learn how to simulate molecules and chemical reactions using Gaussian, a leading quantum chemistry software tool used extensively in both academic and industrial settings.

This course is perfect for students, early-career researchers, and anyone new to the field. We take a hands-on approach, guiding you through the core concepts of computational chemistry step-by-step.

Here's what you'll learn:

  • What is Computational Chemistry? Understand the principles and importance of simulating chemical systems.
  • Gaussian Fundamentals: Learn to create input files, run simulations, and interpret Gaussian output to gain valuable chemical insights.
  • Essential Simulations: Master key computational chemistry tasks, including:
    • Geometry Optimization: Finding the lowest energy structure of a molecule.
    • Energy Calculations: Determining the potential energy of chemical systems.
    • Frequency Analysis: Studying vibrational properties and stability.
    • Spectroscopic Studies: Explore NMR, IR, UV, fluorescence, and phosphorescence using computational methods.
    • Reaction Mechanisms: Investigate reaction pathways and transition states through various modeling approaches.
  • Theoretical Methods & Basis Sets: Learn to select appropriate theoretical methods (like DFT and Hartree–Fock) and basis sets for accurate simulations, even with no prior experience.
  • Interpreting Results: Bridge the gap between theory and experiment by learning how to interpret and evaluate Gaussian results in the context of published research.
  • Reproducing Research: Follow along with the computational methodology of published research articles and extract useful information.
  • Molecular Structure Extraction: Learn to convert text file data (e.g., Cartesian coordinates) from scientific literature into molecular structures.

Gain the skills and confidence to use Gaussian effectively for class projects, thesis work, or lab-based research. This course empowers you to apply computational chemistry to real-world problems and unlock new discoveries.

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