HUNTERTUTORING

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

Pricing

Graduate-level rates are set on consultation. See the pricing page for K–12 and undergraduate rates.