Python For Chemistry

Author : Kiyoto Aramis Tanemura
Publisher : American Chemical Society
ISBN 13 : 0841299250
Total Pages : 263 pages
Book Rating : 4.52/5 ( download)

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Download or read book Python for Chemists written by Kiyoto Aramis Tanemura and published by American Chemical Society. This book was released on 2022-08-24 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming in Python empowers chemists to apply their domain knowledge to scales unreachable by manual effort. Learning Python is easy, but contextualizing chemical problems in Python is not always obvious. Readers of this primer develop the skill to identify problems in their research for which code may automate operations and scale a large volume of data or calculation. In addition, the authors shorten the time from “learning” to “using” Python through meaningful problem sets in Chapter One.

Author : Christian Hill
Publisher : Cambridge University Press
ISBN 13 : 1009116827
Total Pages : 560 pages
Book Rating : 4.24/5 ( download)

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Download or read book Python for Chemists written by Christian Hill and published by Cambridge University Press. This book was released on 2023-10-26 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This accessible and self-contained guide provides a comprehensive introduction to the popular programming language, Python, with a focus on applications in chemistry and chemical physics. End of chapter problems are included throughout, with worked solutions available, and additional resources are provided on a companion website.

Author : Dr. M. Kanagasabapathy
Publisher : BPB Publications
ISBN 13 : 9355517971
Total Pages : 395 pages
Book Rating : 4.75/5 ( download)

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Download or read book Python for Chemistry written by Dr. M. Kanagasabapathy and published by BPB Publications. This book was released on 2023-03-20 with total page 395 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop guide to teach chemists how to use Python for coding and iterations in a hands-on and practical manner KEY FEATURES ● Understand the core Python functions and algorithms for the computation of chemical parameters. ● Learn how to use Cheminformatics modules to process and analyze elemental data and molecular structures. ● Get familiar with the algorithms for numerical and symbolic computations. DESCRIPTION Python is a versatile and powerful computer language without a steep learning curve. It can be deployed to simulate various physicochemical parameters or to analyze complex molecular, bio-molecular, and crystalline structures. The objective of this book is to give a gentle introduction to Python programming with relevant algorithms, iterations, and basic simulations from a chemist’s perspective. This book outlines the fundamentals of Python coding through the built-in functions, libraries, and modules as well as with a few selected external packages for physical/materials/inorganic/analytical/organic/ nuclear chemistry in terms of numerical, symbolic, structural, and graphical data analysis using the default, Integrated Development and Learning Environment. You will also learn about the Structural Elucidation of organic molecules and inorganic complexes with specific Cheminformatics modules. In addition to this, the book covers chemical data analysis with Numpy and also includes topics such as SymPy and Matplotlib for Symbolic calculations and Plotting. By the end of the book, you will be able to use Python as a graphical tool or a calculator for numerical and symbolic computations in the interdisciplinary areas of chemistry. WHAT YOU WILL LEARN ● To fetch elemental, nuclear, atomic or molecular data with list or dictionary functions. ● Understanding the algorithms for the computation of Thermodynamic, Electrochemical, Kinetics, Molecular and Spectral parameters. ● Stoichiometrical calculation of the reactant and product coefficients from Matrices. ● Symbolic computations with reference to Physical Chemistry. ● With Matplotlib package, interpretation and plotting of the analyzed data in the desired graphical format. ● With various cheminformatics modules, correlate the structure of complex and bulkier molecules. WHO THIS BOOK IS FOR This book is for Chemists, Chemical Engineers, Material Scientists, Bio-chemists, Biotechnologists, and Physicists. Students of Chemistry, Chemical Engineering, Materials Chemistry, Biochemistry, Biotechnology, and Physics will find this book resourceful. TABLE OF CONTENTS 1. Understanding Python Functions for Chemistry 2. Computations in Chemistry with NumPy 3. Interpolation, Physico-chemical Constants, and Units with SciPy 4. SymPy for Symbolic Computations in Chemistry 5. Interactive Plotting of Physico-chemical Data with Matplotlib 6. Introduction to Cheminformatics with RDKit 7. ChemFormula for Atomic and Molecular Data 8. Chemlib for Physico-chemical Parameters 9. ChemPy for Computations in Chemistry 10. Mendeleev Package For Atomic and Ionic Data 11. Computations of Parameters of Electrolytes with PyEQL 12. STK Module for Molecular Structures

Author : Atanu Bhattacharya
Publisher : World Scientific
ISBN 13 : 9811277184
Total Pages : 345 pages
Book Rating : 4.84/5 ( download)

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Download or read book Introduction To Time-dependent Quantum Mechanics With Python written by Atanu Bhattacharya and published by World Scientific. This book was released on 2023-10-18 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational spectroscopy and computational quantum chemical dynamics is a vast field in physical chemistry. Significant part of this field is developed based on the concepts of time-dependent quantum mechanics and its numerical implementations.This book gives an introduction to the Time-Dependent Quantum Chemistry for use with any introductory college/university course in optics, spectroscopy, kinetics, dynamics, or experimental physical chemistry or chemical physics of the kind usually taken by undergraduate and graduate students in physical chemistry. In this book, different concepts of time-dependent quantum mechanics are systematically presented by first giving emphasis on the contrasting viewpoint of classical and quantum mechanical motion of a particle, then by demonstrating the ways to find classical flavour in quantum dynamics, thereafter by formally defining the wavepacket which represents a quantum particle and finally by demonstrating numerical methods to explore the wavepacket dynamics in one dimension. Along with the analytical theory, accompanying Python chapters in this book take readers to a hands-on tour with Python programming by first giving them a quick introduction to the Python programming, then by introducing the position-space grid representation of the wavefunction, thereafter, by making them familiarized with the Fourier transform to represent the discretized wavefunction in momentum space, subsequently by showing the Python-based methodologies to express Hamiltonian operator in matrix form and finally by demonstrating the entire Python program which solves the wavepacket dynamics in one dimension under influence of time-independent Hamiltonian following split-operator approach.Rigorous class-testing of the presented lecture notes at the Indian Institute of Science, GITAM University and at NPTEL platform reveals that physical chemistry students, after thoroughly going through all chapters, not only develop an in-depth understanding of the wavepacket dynamics and its numerical implementations, but also start successfully writing their own Python code for solving any one dimensional wavepacket dynamics problem.

Author : Mariano Martín Martín
Publisher : CRC Press
ISBN 13 : 0429835426
Total Pages : 725 pages
Book Rating : 4.21/5 ( download)

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Download or read book Introduction to Software for Chemical Engineers, Second Edition written by Mariano Martín Martín and published by CRC Press. This book was released on 2019-06-06 with total page 725 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of Chemical Engineering and its link to computer science is in constant evolution and new engineers have a variety of tools at their disposal to tackle their everyday problems. Introduction to Software for Chemical Engineers, Second Edition provides a quick guide to the use of various computer packages for chemical engineering applications. It covers a range of software applications from Excel and general mathematical packages such as MATLAB and MathCAD to process simulators, CHEMCAD and ASPEN, equation-based modeling languages, gProms, optimization software such as GAMS and AIMS, and specialized software like CFD or DEM codes. The different packages are introduced and applied to solve typical problems in fluid mechanics, heat and mass transfer, mass and energy balances, unit operations, reactor engineering, process and equipment design and control. This new edition offers a wider view of packages including open source software such as R, Python and Julia. It also includes complete examples in ASPEN Plus, adds ANSYS Fluent to CFD codes, Lingo to the optimization packages, and discusses Engineering Equation Solver. It offers a global idea of the capabilities of the software used in the chemical engineering field and provides examples for solving real-world problems. Written by leading experts, this book is a must-have reference for chemical engineers looking to grow in their careers through the use of new and improving computer software. Its user-friendly approach to simulation and optimization as well as its example-based presentation of the software, makes it a perfect teaching tool for both undergraduate and master levels.

Author : Atanu Bhattacharya
Publisher : World Scientific Publishing Company
ISBN 13 : 9789811277160
Total Pages : 0 pages
Book Rating : 4.68/5 ( download)

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Download or read book Introduction to Time-Dependent Quantum Mechanics with Python written by Atanu Bhattacharya and published by World Scientific Publishing Company. This book was released on 2023-10-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational spectroscopy and computational quantum chemical dynamics is a vast field in physical chemistry. Significant part of this field is developed based on the concepts of time-dependent quantum mechanics and its numerical implementations. This book gives an introduction to the Time-Dependent Quantum Chemistry for use with any introductory college/university course in optics, spectroscopy, kinetics, dynamics, or experimental physical chemistry or chemical physics of the kind usually taken by undergraduate and graduate students in physical chemistry. In this book, different concepts of time-dependent quantum mechanics are systematically presented by first giving emphasis on the contrasting viewpoint of classical and quantum mechanical motion of a particle, then by demonstrating the ways to find classical flavour in quantum dynamics, thereafter by formally defining the wavepacket which represents a quantum particle and finally by demonstrating numerical methods to explore the wavepacket dynamics in one dimension. Along with the analytical theory, accompanying Python chapters in this book take readers to a hands-on tour with Python programming by first giving them a quick introduction to the Python programming, then by introducing the position-space grid representation of the wavefunction, thereafter, by making them familiarized with the Fourier transform to represent the discretized wavefunction in momentum space, subsequently by showing the Python-based methodologies to express Hamiltonian operator in matrix form and finally by demonstrating the entire Python program which solves the wavepacket dynamics in one dimension under influence of time-independent Hamiltonian following split-operator approach. Rigorous class-testing of the presented lecture notes at the Indian Institute of Science, GITAM University and at NPTEL platform reveals that physical chemistry students, after thoroughly going through all chapters, not only develop an in-depth understanding of the wavepacket dynamics and its numerical implementations, but also start successfully writing their own Python code for solving any one dimensional wavepacket dynamics problem.

Author : Keeper L. Sharkey
Publisher : Packt Publishing Ltd
ISBN 13 : 1803238593
Total Pages : 354 pages
Book Rating : 4.93/5 ( download)

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Download or read book Quantum Chemistry and Computing for the Curious written by Keeper L. Sharkey and published by Packt Publishing Ltd. This book was released on 2022-05-20 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acquire knowledge of quantum chemistry concepts, the postulates of quantum mechanics, and the foundations of quantum computing, and execute illustrations made with Python code, Qiskit, and open-source quantum chemistry packages Key Features • Be at the forefront of a quest for increased accuracy in chemistry applications and computing • Get familiar with some open source quantum chemistry packages to run your own experiments • Develop awareness of computational chemistry problems by using postulates of quantum mechanics Book Description Explore quantum chemical concepts and the postulates of quantum mechanics in a modern fashion, with the intent to see how chemistry and computing intertwine. Along the way you'll relate these concepts to quantum information theory and computation. We build a framework of computational tools that lead you through traditional computational methods and straight to the forefront of exciting opportunities. These opportunities will rely on achieving next-generation accuracy by going further than the standard approximations such as beyond Born-Oppenheimer calculations. Discover how leveraging quantum chemistry and computing is a key enabler for overcoming major challenges in the broader chemical industry. The skills that you will learn can be utilized to solve new-age business needs that specifically hinge on quantum chemistry What you will learn • Understand mathematical properties of the building blocks of matter • Run through the principles of quantum mechanics with illustrations • Design quantum gate circuit computations • Program in open-source chemistry software packages such as Qiskit® • Execute state-of-the-art-chemistry calculations and simulations • Run companion Jupyter notebooks on the cloud with just a web browser • Explain standard approximations in chemical simulations Who this book is for Professionals interested in chemistry and computer science at the early stages of learning, or interested in a career of quantum computational chemistry and quantum computing, including advanced high school and college students. Helpful to have high school level chemistry, mathematics (algebra), and programming. An introductory level of understanding Python is sufficient to read the code presented to illustrate quantum chemistry and computing

Author : Thorsten Gressling
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110630532
Total Pages : 442 pages
Book Rating : 4.34/5 ( download)

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Download or read book Data Science in Chemistry written by Thorsten Gressling and published by Walter de Gruyter GmbH & Co KG. This book was released on 2020-11-23 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: The ever-growing wealth of information has led to the emergence of a fourth paradigm of science. This new field of activity – data science – includes computer science, mathematics and a given specialist domain. This book focuses on chemistry, explaining how to use data science for deep insights and take chemical research and engineering to the next level. It covers modern aspects like Big Data, Artificial Intelligence and Quantum computing.

Author : Jeffrey J. Heys
Publisher : John Wiley & Sons
ISBN 13 : 1119267064
Total Pages : 278 pages
Book Rating : 4.65/5 ( download)

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Download or read book Chemical and Biomedical Engineering Calculations Using Python written by Jeffrey J. Heys and published by John Wiley & Sons. This book was released on 2017-01-10 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents standard numerical approaches for solving common mathematical problems in engineering using Python. Covers the most common numerical calculations used by engineering students Covers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential Equations Focuses on open ended, real world problems that require students to write a short report/memo as part of the solution process Includes an electronic download of the Python codes presented in the book

Author : Jahan B. Ghasemi
Publisher : Elsevier
ISBN 13 : 0323907067
Total Pages : 212 pages
Book Rating : 4.64/5 ( download)

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Download or read book Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling written by Jahan B. Ghasemi and published by Elsevier. This book was released on 2022-10-20 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning and Pattern Recognition Methods in Chemistry from Multivariate and Data Driven Modeling outlines key knowledge in this area, combining critical introductory approaches with the latest advanced techniques. Beginning with an introduction of univariate and multivariate statistical analysis, the book then explores multivariate calibration and validation methods. Soft modeling in chemical data analysis, hyperspectral data analysis, and autoencoder applications in analytical chemistry are then discussed, providing useful examples of the techniques in chemistry applications. Drawing on the knowledge of a global team of researchers, this book will be a helpful guide for chemists interested in developing their skills in multivariate data and error analysis. Provides an introductory overview of statistical methods for the analysis and interpretation of chemical data Discusses the use of machine learning for recognizing patterns in multidimensional chemical data Identifies common sources of multivariate errors