Density functional theory (DFT) provides a powerful foundation for investigating electronic structure, but connecting electron density with chemical bonding, stability, molecular function, and reactivity requires a broader conceptual framework. Density-Based Reactivity Theory develops this perspective by showing how density-driven approaches can be applied to understand and predict physicochemical behavior. The book introduces researchers to practical and theoretical methods for studying chemical reactivity, while incorporating important developments in Conceptual Density Functional Theory (CDFT), Orbital-Free Density Functional Theory (OF-DFT), Density Analysis and Quantification (DAQ), and Information-Theoretic Analysis (ITA).
A major focus of the book is the use of electron-density analysis to investigate molecular interactions and explain reactivity in chemical, biological, and materials systems. Readers are introduced to computational strategies that connect density-based descriptors with molecular properties, allowing them to analyze bonding and stability and make informed predictions about chemical behavior. The discussion also covers contemporary applications in photochemistry, catalysis, materials science, and quantum computing, demonstrating how density-based computational methods can contribute to both fundamental research and emerging technologies.
The book covers a range of theoretical concepts, computational methods, and practical applications, including:
By bringing together fundamental theory and computational applications, Density-Based Reactivity Theory provides a useful reference for researchers working with electronic density and chemical reactivity. The material is particularly relevant to computational chemists, computational physicists, theoretical chemists, and materials scientists in academic and industrial settings. Graduate students, postdoctoral researchers, and advanced practitioners can also use the book to strengthen their understanding of density-based computational methods and apply techniques such as DFT, CDFT, OF-DFT, DAQ, and ITA to chemical, biological, physical, and materials research.