ISBN: 9798196708305 - computational chemistry with python: a practical introduction to molecular orbitals, quantum methods, geometry optimization, and energy calculations (6 risultati)

Taschenbuch. Condizione: Neu. Neuware - Reactive PublishingComputational chemistry allows researchers, students, and technical professionals to explore molecular structure, bonding, energy, and reactivity through mathematical models and programmable workflows. Computational Chemistry with Python provides a practical introduction to the core ideas behind molecular modeling while showing how Python can be used to support calculations, visualization, and conceptual understanding.This book introduces molecular orbitals, quantum chemistry foundations, Hartree-Fock theory, density functional theory concepts, geometry optimization, and molecular energy calculations in a clear, applied format. Rather than treating computational chemistry as a purely theoretical subject, it connects the underlying mathematics and physical chemistry to practical coding workflows that help readers understand how molecules can be represented, approximated, and analyzed.Inside, readers will explore how computational models describe electrons, orbitals, molecular geometry, basis sets, energy surfaces, and approximation methods. The book also explains where common methods are useful, where they are limited, and how Python-based workflows can help make abstract chemical concepts more concrete.Designed for students, self-learners, chemists, data scientists, and technically minded readers, this guide offers a structured entry point into computational chemistry without assuming advanced prior experience in quantum mechanics.Topics include: Molecular structure and coordinate representationMolecular orbitals and electronic structure conceptsQuantum chemistry foundations for applied modelingHartree-Fock theory and self-consistent field ideasDensity functional theory concepts and practical interpretationGeometry optimization and potential energy surfacesMolecular energy calculations and result interpretationPython-based approaches for chemical computation and analysisComputational Chemistry with Python is for readers who want to understand how modern molecular modeling works and how Python can be used as a practical tool for learning, experimentation, and applied chemical analysis.…

Paperback. Condizione: new. Paperback. Reactive PublishingComputational chemistry allows researchers, students, and technical professionals to explore molecular structure, bonding, energy, and reactivity through mathematical models and programmable workflows. Computational Chemistry with Python provides a practical introduction to the core ideas behind molecular modeling while showing how Python can be used to support calculations, visualization, and conceptual understanding.This book introduces molecular orbitals, quantum chemistry foundations, Hartree-Fock theory, density functional theory concepts, geometry optimization, and molecular energy calculations in a clear, applied format. Rather than treating computational chemistry as a purely theoretical subject, it connects the underlying mathematics and physical chemistry to practical coding workflows that help readers understand how molecules can be represented, approximated, and analyzed.Inside, readers will explore how computational models describe electrons, orbitals, molecular geometry, basis sets, energy surfaces, and approximation methods. The book also explains where common methods are useful, where they are limited, and how Python-based workflows can help make abstract chemical concepts more concrete.Designed for students, self-learners, chemists, data scientists, and technically minded readers, this guide offers a structured entry point into computational chemistry without assuming advanced prior experience in quantum mechanics.Topics include: Molecular structure and coordinate representationMolecular orbitals and electronic structure conceptsQuantum chemistry foundations for applied modelingHartree-Fock theory and self-consistent field ideasDensity functional theory concepts and practical interpretationGeometry optimization and potential energy surfacesMolecular energy calculations and result interpretationPython-based approaches for chemical computation and analysisComputational Chemistry with Python is for readers who want to understand how modern molecular modeling works and how Python can be used as a practical tool for learning, experimentation, and applied chemical analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Reactive PublishingComputational chemistry allows researchers, students, and technical professionals to explore molecular structure, bonding, energy, and reactivity through mathematical models and programmable workflows. Computational Chemistry with Python provides a practical introduction to the core ideas behind molecular modeling while showing how Python can be used to support calculations, visualization, and conceptual understanding.This book introduces molecular orbitals, quantum chemistry foundations, Hartree-Fock theory, density functional theory concepts, geometry optimization, and molecular energy calculations in a clear, applied format. Rather than treating computational chemistry as a purely theoretical subject, it connects the underlying mathematics and physical chemistry to practical coding workflows that help readers understand how molecules can be represented, approximated, and analyzed.Inside, readers will explore how computational models describe electrons, orbitals, molecular geometry, basis sets, energy surfaces, and approximation methods. The book also explains where common methods are useful, where they are limited, and how Python-based workflows can help make abstract chemical concepts more concrete.Designed for students, self-learners, chemists, data scientists, and technically minded readers, this guide offers a structured entry point into computational chemistry without assuming advanced prior experience in quantum mechanics.Topics include: Molecular structure and coordinate representationMolecular orbitals and electronic structure conceptsQuantum chemistry foundations for applied modelingHartree-Fock theory and self-consistent field ideasDensity functional theory concepts and practical interpretationGeometry optimization and potential energy surfacesMolecular energy calculations and result interpretationPython-based approaches for chemical computation and analysisComputational Chemistry with Python is for readers who want to understand how modern molecular modeling works and how Python can be used as a practical tool for learning, experimentation, and applied chemical analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…