Standard syllabus
Computational chemistry · Graduate · Chemistry
Topics
Advanced quantum chemistry
- Coupled cluster theory: CCSD, CCSD(T), and convergence
- Multireference methods: CASSCF, CASPT2, NEVPT2
- Equation-of-motion CC for excited states
- Multiconfigurational perturbation theory
- Relativistic Hamiltonians and spin-orbit coupling
- Basis set extrapolation and complete basis set limits
- Composite methods: Gn, CBS-QB3 families
- Dispersion corrections: DFT-D, many-body dispersion
- Dual-level and ONIOM hybrid methods
- Benchmarking and method selection for chemical problems
Molecular dynamics and Monte Carlo
- Force field development and parameterization
- Enhanced sampling: metadynamics, umbrella sampling, REMD
- Free energy calculations: FEP, TI, BAR, MBAR
- Alchemical transformations and λ-dynamics
- Coarse-grained and multiscale modeling
- Reactive force fields: ReaxFF
- Ab initio molecular dynamics (AIMD)
- Path integral MD for nuclear quantum effects
- Analysis of MD trajectories: RDF, MSD, hydrogen bonds
- Validation against experimental observables
Cheminformatics and machine learning
- Molecular descriptors and fingerprints
- QSAR/QSPR model building and validation
- Pharmacophore modeling and 3D-QSAR
- Virtual screening pipelines and docking scoring
- Generative models for molecular design
- Neural network potentials and ML force fields
- Active learning for computational screening
- Database curation: PubChem, ChEMBL, ZINC
- High-throughput workflow automation
- Reproducibility and FAIR data in computational chemistry
Specialized applications
- Catalyst design with computational screening
- Battery electrolyte property prediction
- Protein–ligand binding free energy calculations
- Spectroscopic property prediction at high level
- Reaction network analysis and microkinetic modeling
- Materials defect calculations with periodic DFT
- Excited-state dynamics and nonadiabatic coupling
- Solvation free energies and pKa prediction
- High-performance computing and GPU acceleration
- Cloud computing for distributed simulations
What each unit includes
Open a unit below for full materials. Typical resources:
- Study guide
- Exam Strategy
- Common Mistakes
- Worksheets
- Word problems
- Mixed Practice
- Multi-Unit Problems
- Review
- Practice test
- Answer key
Study units
Each unit includes a study guide, worksheets, review, practice test, and answer key. One unit is free; subscribe for the full class.
- Advanced quantum chemistry
Coupled cluster theory: CCSD, CCSD(T), and convergence
Coming soon - Molecular dynamics and Monte Carlo
Force field development and parameterization
Coming soon - Cheminformatics and machine learning
Molecular descriptors and fingerprints
Coming soon - Specialized applications
Catalyst design with computational screening
Coming soon - Software development and workflows
Python ecosystems: RDKit, ASE, cclib, OpenMM, Psi4
Coming soon - Applied computational chemistry
Pharmaceutical computational chemistry teams
Coming soon
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$1,162 · Computational chemistry · 18 tutoring hrs
Study guides, worksheets, reviews, practice tests, and answer keys for 1 class. 18 tutoring hours (1 hr / week · semester). Bundle discount applied vs buying separately. Pay in full via Zelle.