Introduction to Computational Chemistry.
Table of Contents:
Chapter 1: Introduction.
Chapter 2: Force Field Methods.
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2.1 Introduction.
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2.2 The Force Field Energy.
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2.2.1 The Stretch Energy.
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2.2.2 The Bending Energy.
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2.2.3 The out-of-plane Bending Energy.
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2.2.4 The Torsional Energy.
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2.2.5 The van der Waals Energy.
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2.2.6 The Electrostatic Energy.
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2.2.7 Cross Terms.
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2.2.8 Conjugated Systems.
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2.2.9 Comparing Energies of Structurally Different Molecules.
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2.3 Force Field Parameterization.
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2.3.1 Parameter Reductions in Force Fields.
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2.3.2 Force Fields for Compounds Containing Metals.
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2.3.3 Universal Force Fields.
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2.4 Differences between Force Fields.
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2.5 Computational Considerations.
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2.6 Validation of Force Fields.
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2.7 Practical Considerations.
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2.8 Advantages and Limitations of Force Field Methods.
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2.9 Transition Structure Modelling.
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2.9.1 Modelling the TS as a Minimum Energy Structure.
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2.9.2 Modelling the TS as a Minimum Energy Structure on the
Reactant/Product Energy Seam.
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2.10 Hybrid Force Field-Electronic Structure Methods.
Chapter 3: Electronic Structure Theory.
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3.1 The Adiabatic and Born-Oppenheimer Approximations.
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3.2 Self Consistent Field Theory.
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3.3 The Energy of a Slater Determinant.
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3.4 Koopmans' Theorem.
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3.5 The Basis Set Approximation.
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3.6 Alternative Formulation of the Variational Problem.
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3.7 Restricted and Unrestricted Hartree-Fock.
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3.8 SCF Techniques.
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3.8.1 SCF Convergence.
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3.8.2 Use of Symmetry.
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3.8.3 Ensuring that the HF Energy is a Minimum.
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3.8.4 Initial Guess Orbitals.
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3.8.5 Direct SCF.
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3.8.6 Linear Scaling Techniques.
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3.9 Semi-Empirical Methods.
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3.9.1 Neglect of Diatomic Differential Overlap Approximation (NDDO).
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3.9.2 Intermediate Neglect of Differential Overlap Approximation
(INDO).
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3.9.3 Complete Neglect of Differential Overlap Approximation (CNDO).
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3.10 Parameterization.
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3.10.1 Modified Intermediate Neglect of Differential Overlap (MINDO).
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3.10.2 Modified NDDO Models.
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3.10.3 Modified Neglect of Diatomic Overlap (MNDO).
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3.10.4 Austin Model 1 (AM1).
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3.10.5 Modified Neglect of Diatomic Overlap, Parametric Method Number 3
(MNDO-PM3).
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3.10.6 The MNDO/d Method.
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3.10.7 Semi-Ab Initio Method 1.
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3.11 Performance of Semi-empirical Methods.
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3.12 Extended Hückel Theory.
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3.12.1 Simple Hückel Theory.
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3.13 Limitations and Advantages of Semi-empirical Methods.
Chapter 4: Electron Correlation.
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4.1 Excited Slater Determinants.
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4.2 Configuration Interaction.
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4.2.1 CI Matrix Elements.
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4.2.2 Size of the CI Matrix.
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4.2.3 Truncated CI Methods.
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4.2.4 Direct CI Methods.
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4.3 Illustrating how CI Accounts for Electron Correlation, and the RHF
Dissociation Problem.
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4.4 The UHF Dissociation and the Spin Contamination Problem.
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4.5 Size Consistency and Size Extensivity.
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4.6 Multi-configurational Self Consistent Field.
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4.7 Multi-reference Configuration Interaction.
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4.8 Many-body Perturbation Theory.
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4.8.1 Møller-Plesset Perturbation Theory.
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4.8.2 Unrestricted and Projected Møller-Plesset Methods.
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4.9 Coupled Cluster Methods.
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4.9.1 Truncated Coupled Cluster Methods.
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4.10 Connections between Coupled Cluster, Configuration Interaction and
Perturbation Theory.
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4.11 Methods Involving Interelectronic Distances.
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4.12 Direct Methods.
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4.13 Localized Orbital Methods.
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4.14 Summary of Electron Correlation Methods.
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4.15 Excited States.
Chapter 5: Basis Sets.
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5.1 Slater and Gaussian Type Orbitals.
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5.2 Classification of Basis Sets.
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5.3 Even- and Well-tempered Basis Sets.
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5.4 Contracted Basis Sets.
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5.4.1 Pople Style Basis Sets.
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5.4.2 Dunning-Huzinaga Basis Sets.
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5.4.3 MINI, MIDI, MAXI Basis Sets.
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5.4.4 Atomic Natural Orbitals Basis Sets.
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5.4.5 Correlation Consistent Basis Sets.
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5.5 Extrapolation Procedures.
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5.6 Isodesmic and Isogyric Reactions.
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5.7 Effective Core Potentials.
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5.8 Basis Set Superposition Errors.
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5.9 Pseudospectral Methods.
Chapter 6: Density Functional Theory.
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6.1 Local Density Methods.
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6.2 Gradient Corrected Methods.
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6.3 Hybrid Methods.
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6.4 Performance.
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6.5 Computational Considerations.
Chapter 7: Valence Bond Methods.
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7.1 Classical Valence Bond.
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7.2 Spin Coupled Valence Bond.
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7.3 Generalized Valence Bond.
Chapter 8: Relativistic Methods.
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8.1 Connection Between the Dirac and Schrödinger Equations.
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8.2 Many-particle Systems.
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8.3 Four-component Calculations.
Chapter 9: Wave Function Analysis.
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9.1 Population Analysis Based on Basis Functions.
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9.2 Population Analysis Based on the Electrostatic Potential.
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9.3 Population Analysis Based on the Wave Function.
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9.4 Localized Orbitals.
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9.5 Natural Orbitals.
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9.6 Natural Atomic Orbital and Natural Bond Orbital Analysis.
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9.7 Computational Considerations.
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9.8 Examples.
Chapter 10: Molecular Properties.
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10.1 Examples.
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10.1.1 External Electric Field.
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10.1.2 External Magnetic Field.
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10.1.3 Internal Magnetic Field.
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10.1.4 Geometry Change.
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10.1.5 Mixed Derivatives.
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10.2 Perturbation Methods.
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10.3 Derivative Techniques.
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10.4 Lagrangian Techniques.
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10.5 Coupled Perturbed Hartree-Fock.
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10.6 Electric Field Perturbation.
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10.7 Magnetic Field Perturbation.
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10.7.1 External Magnetic Field.
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10.7.2 Nuclear Spin.
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10.7.3 Gauge Dependence of Magnetic Properties.
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10.8 Geometry Perturbations.
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10.9 Propagator Methods.
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10.10 Property Basis Sets.
Chapter 11: Illustrating the Concepts.
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11.1 Geometry Convergence.
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11.1.1 Ab Initio Methods.
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11.1.2 DFT Methods.
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11.2 Total Energy Convergence.
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11.3 Dipole Moment Convergence.
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11.3.1 Ab Initio Methods.
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11.3.2 DFT Methods.
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11.4 Vibrational Frequencies' Convergence.
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11.4.1 Ab Initio Methods.
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11.4.2 DFT Methods.
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11.5 Bond Dissociation Curve.
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11.5.1 Basis Set Effect at the HF Level.
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11.5.2 Performance of Different Types of Wave Functions.
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11.5.3 DFT Methods.
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11.6 Angle Bending Curve.
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11.7 Problematic Systems.
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11.7.1 The Geometry of FOOF.
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11.7.2 The Dipole Moment of CO.
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11.7.3 The Vibrational Frequencies of O3.
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11.8 Relative Energies of C4H6 Isomers.
Chapter 12: Transition State Theory and Statistical Mechanics.
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12.1 Transition State Theory.
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12.2 Statistical Mechanics.
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12.2.1 qtrans
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12.2.2 qrot
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12.2.3 qvib
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12.2.4 qelec
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12.3 Enthalpy and Entropy Contributions.
Chapter 13: Change of Coordinate System.
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13.1 Vibrational Normal Coordinates.
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13.2 Energy of a Slater Determinant.
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13.3 Energy of a CI Wave Function.
Chapter 14: Optimization Techniques.
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14.1 Steepest Descent.
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14.2 Conjugate Gradient Methods.
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14.3 Newton-Raphson Methods.
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14.3.1 Step Control.
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14.3.2 Obtaining the Hessian.
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14.3.3 Storing and Diagonalizing the Hessian.
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14.4 Choice of Coordinates.
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14.5 Transition Structure Optimization.
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14.5.1 Methods Based on Interpolation Between Reactant and Product.
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14.5.2 Linear and Quadratic Synchronous Transit.
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14.5.3 "Saddle" Optimization Method.
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14.5.4 The Chain Method.
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14.5.5 The Self Penalty Walk Method.
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14.5.6 The Sphere Optimization Technique.
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14.5.7 Methods Based on Local Information.
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14.5.8 Gradient Norm Minimizations.
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14.5.9 Newton-Raphson Methods.
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14.5.10 Gradient Extremal Methods.
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14.6 Constrained Optimization Problems.
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14.7 Locating the Global Minimum and Conformational Sampling.
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14.7.1 Stochastical and Monte Carlo Methods.
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14.7.2 Molecular Dynamics.
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14.7.3 Simulated Annealing.
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14.7.4 Genetic Algorithms.
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14.7.5 Diffusion Methods.
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14.7.6 Distance Geometry Methods.
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14.8 Intrinsic Reaction Coordinate Methods.
Chapter 15: Qualitative Theories.
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15.1 Frontier Molecular Orbital Theory.
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15.2 Concepts from Density Functional Theory.
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15.3 Qualitative Molecular Orbital Theory.
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15.4 Woodward-Hoffmann Rules.
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15.5 The Bell-Evans-Polanyi Principle / Hammond Postulate / Marcus
Theory.
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15.6 More O'Ferrall-Jenks Diagrams.
Chapter 16: Simulations, Time Dependent Methods and Solvation Models.
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16.1 Simulation Methods.
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16.1.1 Free Energy Methods.
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16.1.2 Thermodynamic Perturbation Methods.
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16.1.3 Thermodynamic Integration Methods.
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16.2 Time Dependent Methods.
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16.2.1 Classical Methods.
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16.2.2 Langevin Methods.
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16.2.3 Quantum Methods.
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16.2.4 Reaction Path Methods.
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16.3 Continuum Solvation Models.
Chapter 17: Concluding Remarks.
Appendix A.
Appendix B.
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The Variational Principle.
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The Hohenberg-Kohn Theorems.
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The Adiabatic Connection Formula.
Appendix C.
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First and Second Quantization.
Appendix D.
Appendix E.