Molecular methods
This course connects physical intuition, derivations, model boundaries and verifiable practice. Lessons state assumptions, work through examples and explain exercises; illustrations distinguish analytic models from simulation data.
1. Prerequisites and study method
Bring algebra, calculus and elementary probability. Quantum courses use complex numbers and linear algebra; sampling courses use partition functions. Read the overall roadmap, then follow the sequence below. For every formula, identify its variables, units, assumptions and failure conditions.
Recommended preparation: Quantum mechanics
2. Numbered lessons
- Molecular bonding, overlap and symmetry
- Separate nuclei; antisymmetrize electrons
- Hartree–Fock from constrained variation
- Roothaan equations and a reproducible SCF cycle
- Basis sets, convergence and error budgets
- Second quantization and determinant matrix elements
- Beyond one determinant: MP2, CI, and CC
- MP2: correlation as controlled perturbation
- CI and multireference active spaces
- Coupled cluster, size extensivity and diagnostics
3. Core and advanced routes
Core route: complete the derivations and exercises in the first six lessons, then read the intuition and limitations of the remaining lessons. Advanced route: complete the full sequence, rederive the central equations independently, and connect them to numerical convergence or sampling design in the software tutorials. A shorter route does not waive the assumptions of advanced methods.
4. Completion task
Choose one target observable and separate its physical model, numerical approximation, statistical estimator and validation evidence. Supply one hand calculation, one convergence plan and one condition under which the interpretation fails. A proposed calculation must not be presented as an executed result.