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Book Details
New
Computational Chemistry for Experimentalists,
Edition
1
A Nonspecialist's Guide to Practical and Predictive Simulations
Editors:
By Benjamin G. Janesko
Publication Date:
13 Feb 2026
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.
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.
Key Features
- Provides experimentalists with a simple and accessible on-ramp to computation for non-specialists
- Highlights the idea that computational chemistry’s core ideas, including chemical bonding, hybridization, and molecular structure are part of core chemical knowledge
- Includes relevant equations and algorithmic details
- Enables readers to rapidly acquire the most relevant knowledge
- Includes modules that are paired with online video tutorials, providing real-world-hands-on training using different software packages
About the author
By Benjamin G. Janesko, Professor and Chair, Department of Chemistry & Biochemistry and Faculty Fellow, Ralph Lowe Energy Institute, Neeley School of Business, Texas Christian University, USA
1. Introduction and Motivation
Section I: Core Modules
2. Molecular Orbitals and Basis Sets
3. Geometry Optimization
4. Orbitals and Densities
5. Dynamics and Conformational Sampling
6. Atomic Charges, Electrostatic Potentials, and Multipole Moments
7. Mean-Field Electronic Structure Approximations
8. Data Processing
Section II: Shared Modules
9. Free Energies of Formation
10. Transition States and Reaction Rates
11. Continuum Solvent
12. Ab Initio Wavefunctions
13. Databases and Machine Learning
Section III: Specific Experiments
14. Ionization Potentials, Electron Affinities, and Redox Potentials
15. Infrared and Raman Spectra
16. NMR Spectra
17. Band Structures
18. pKa
19. Absorption and Emission Spectroscopy
Section IV: Summary Examples
20. Transition Metal Catalysis
21. Drug Design
Section I: Core Modules
2. Molecular Orbitals and Basis Sets
3. Geometry Optimization
4. Orbitals and Densities
5. Dynamics and Conformational Sampling
6. Atomic Charges, Electrostatic Potentials, and Multipole Moments
7. Mean-Field Electronic Structure Approximations
8. Data Processing
Section II: Shared Modules
9. Free Energies of Formation
10. Transition States and Reaction Rates
11. Continuum Solvent
12. Ab Initio Wavefunctions
13. Databases and Machine Learning
Section III: Specific Experiments
14. Ionization Potentials, Electron Affinities, and Redox Potentials
15. Infrared and Raman Spectra
16. NMR Spectra
17. Band Structures
18. pKa
19. Absorption and Emission Spectroscopy
Section IV: Summary Examples
20. Transition Metal Catalysis
21. Drug Design
ISBN:
9780443342110
Page Count:
318
Retail Price (USD)
:
Chemists at emerging research institutions and small and medium-sized businesses, who seek to incorporate computation into their research but are not primarily computational chemists; mid-career chemistry professionals, as well as research teams including undergraduate, graduate, and early-career chemists
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