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Computational Chemistry for Experimentalists

A Nonspecialist's Guide to Practical and Predictive Simulations

Specificaties
Paperback, blz. | Engels
Elsevier Science | e druk, 2026
ISBN13: 9780443342110
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Elsevier Science e druk, 2026 9780443342110
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Samenvatting

Computational Chemistry for Experimentalists: A Nonspecialist's Guide to Practical and Predictive Simulations empowers chemists—especially those at emerging institutions or in small and medium enterprises—by transforming foundational chemical concepts into practical computational skills. A modular approach, paired with hands-on video tutorials, ensures that even nonspecialists can confidently apply simulations to their research, regardless of career stage or specialization. Beyond its accessible structure, the book features six modules covering core topics such as electronic structure theory and molecular dynamics. Ten experimental modules focus on simulating specific laboratory techniques—reaction mechanisms, NMR, UV/vis, band structures, XPS, and organometallic chemistry.

Regularly updated online tutorials complement the material, providing project-based, real-world training. By bridging theory and practice, this guide serves mid-career professionals, undergraduate and graduate students, and early-career researchers, making computational chemistry approachable and practical for all experimental chemists.

Ben's free online course complimenting this book is available on GitHub:
https://github.com/bjanesko/ComputationalChemistryForExperimentalists

Specificaties

ISBN13:9780443342110
Taal:Engels
Bindwijze:Paperback

Inhoudsopgave

1. Introduction and Motivation<br><br>Section I: Core Modules<br>2. Molecular Orbitals and Basis Sets<br>3. Geometry Optimization<br>4. Orbitals and Densities<br>5. Dynamics and Conformational Sampling<br>6. Atomic Charges, Electrostatic Potentials, and Multipole Moments<br>7. Mean-Field Electronic Structure Approximations<br>8. Data Processing<br><br>Section II: Shared Modules<br>9. Free Energies of Formation<br>10. Transition States and Reaction Rates<br>11. Continuum Solvent<br>12. Ab Initio Wavefunctions<br>13. Databases and Machine Learning<br><br>Section III: Specific Experiments<br>14. Ionization Potentials, Electron Affinities, and Redox Potentials<br>15. Infrared and Raman Spectra<br>16. NMR Spectra<br>17. Band Structures<br>18. pKa<br>19. Absorption and Emission Spectroscopy<br><br>Section IV: Summary Examples<br>20. Transition Metal Catalysis<br>21. Drug Design

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        Computational Chemistry for Experimentalists