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Chemistry
Quantum Chemistry
Electronic Structure Calculations
Ab Initio Methods
Hartree-Fock Theory
Self-Consistent Field Method
Advantages and Limitations
Basis Set Choice
Restricted vs. Unrestricted Hartree-Fock
Post-Hartree-Fock Methods
Configuration Interaction (CI)
Full CI vs. Truncated CI
Excitation Levels (e.g., CIS, CISD)
Scaling and Computational Cost
Møller-Plesset Perturbation Theory (MPPT)
MP2, MP3, MP4 Methodologies
Applicability and Convergence Issues
Comparison with other methods
Coupled Cluster Theory
Coupled Cluster Singles and Doubles (CCSD)
CCSD with Perturbative Triples Correction (CCSD(T))
Applications in Highly Correlated Systems
Computational Complexity and Resource Usage
Density Functional Theory (DFT)
Exchange-Correlation Functionals
Local Density Approximation (LDA)
Generalized Gradient Approximation (GGA)
Hybrid Functionals
B3LYP and PBE0 Specifics
Challenges in Functional Selection
New Functional Developments
Kohn-Sham Equations
Single-Particle Approximation
Solving Kohn-Sham Equations
Relation to Hartree-Fock Theory
Self-Interaction Error and Corrections
Semi-empirical Methods
Huckel Theory
Application to Conjugated Systems
Band Structure Calculations
Limitations and Simplifications
Extended Huckel Theory
Overlap and Coulomb Matrices
Comparison with Ab Initio Methods
Practical Applications in Solid State Chemistry
Other Semi-empirical Methods
MNDO, AM1, PM3, and Their Improvements
Applicability to Large Systems
Trade-offs Between Speed and Accuracy
Basis Sets
Purpose and Construction
Minimal Basis Sets
STO-3G and Its Applications
Split-Valence Basis Sets
Pople and Dunning Basis Sets
Influence on Computational Cost
Polarization and Diffuse Functions
Augmentation for Excited States
Importance for Anionic Systems
Numerical Methods
Matrix Diagonalization Techniques
Eigenvalue Problems in Quantum Chemistry
Direct and Iterative Diagonalization Methods
Grid-based Methods
Real-Space Grids vs. Fourier Grids
Applications in DFT
Challenges in High-Precision Grids
Monte Carlo Simulations
Random Sampling Techniques
Quantum Monte Carlo (QMC) Methods
Comparison to Deterministic Algorithms
Challenges in Electronic Structure Calculations
Scaling and Computational Cost
Parallel Computation Strategies
Distributed Computing Environments
Accuracy vs. Efficiency Trade-offs
Balance in Method Selection
Case Studies and Examples
Emerging Methods and Technologies
Quantum Computing in Electronic Structure
Machine Learning Assisted Potential Surfaces
Development of New Algorithms
3. Molecular Structure
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5. Reaction Dynamics