Unveiling the Secrets of the Quantum World: Explore the Essentials of Computational Chemistry
4.7 out of 5
Language | : | English |
File size | : | 8182 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 618 pages |
Lending | : | Enabled |
In the realm of chemistry, where the intricate dance of atoms and molecules unfolds, computational chemistry emerges as a powerful tool, empowering us to unravel the secrets of the quantum world. From the development of groundbreaking drugs to the design of cutting-edge materials, computational chemistry has revolutionized the way we explore and understand the molecular universe.
In this comprehensive guidebook, "Essentials of Computational Chemistry Theories and Models," renowned experts Dr. John Doe and Dr. Jane Smith delve into the fundamental principles, cutting-edge models, and diverse applications that drive modern computational chemistry. Embark on a captivating journey as we unravel the complexities of quantum mechanics, molecular dynamics, and machine learning, unlocking the secrets of the molecular realm.
Chapter 1: The Foundation of Computational Chemistry
In this chapter, we lay the groundwork for computational chemistry, exploring the fundamental concepts of quantum mechanics that govern the behavior of atoms and molecules. We delve into the wave-particle duality of matter, the Schrödinger equation, and the powerful Hartree-Fock theory, the cornerstone of modern electronic structure calculations.
Chapter 2: Density Functional Theory and Beyond
Moving beyond Hartree-Fock theory, we explore the powerful techniques of density functional theory (DFT),which revolutionized computational chemistry by providing a more accurate and efficient approach to calculating molecular properties. We delve into the foundations of DFT, the exchange-correlation functionals, and the wide range of applications in various fields of chemistry.
Chapter 3: Molecular Dynamics and Monte Carlo Methods
Understanding the dynamic behavior of molecules is crucial in computational chemistry. In this chapter, we delve into the world of molecular dynamics simulations, which allow us to follow the trajectories of atoms and molecules over time. We also explore Monte Carlo methods, a powerful tool for sampling molecular configurations and calculating thermodynamic properties.
Chapter 4: Machine Learning and Artificial Intelligence in Computational Chemistry
The advent of machine learning and artificial intelligence (AI) has transformed computational chemistry, enabling us to tackle complex problems faster and more efficiently. We explore the integration of AI into computational chemistry, including the development of machine learning models for predicting molecular properties and accelerating simulations.
Chapter 5: Applications of Computational Chemistry
The applications of computational chemistry span a wide range of disciplines, from drug discovery to materials science. In this chapter, we delve into specific case studies, showcasing how computational chemistry has aided in the development of new drugs, the design of advanced materials, and the understanding of complex chemical processes.
"Essentials of Computational Chemistry Theories and Models" is an indispensable guide for students, researchers, and professionals in computational chemistry, physical chemistry, and related fields. With its comprehensive coverage of fundamental principles, cutting-edge models, and diverse applications, this book empowers readers to harness the power of computational chemistry to solve complex problems and advance our understanding of the molecular world.
Join us on this captivating journey as we unlock the secrets of computational chemistry, revealing the hidden wonders of the quantum realm!
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4.7 out of 5
Language | : | English |
File size | : | 8182 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 618 pages |
Lending | : | Enabled |
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4.7 out of 5
Language | : | English |
File size | : | 8182 KB |
Text-to-Speech | : | Enabled |
Screen Reader | : | Supported |
Print length | : | 618 pages |
Lending | : | Enabled |