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Home > Mathematics and Science Textbooks > Chemistry > Physical chemistry > Density Functional Theory: Volume 25 Current Trends and Applications(Volume 25 Theoretical and Computational Chemistry)
Density Functional Theory: Volume 25 Current Trends and Applications(Volume 25 Theoretical and Computational Chemistry)

Density Functional Theory: Volume 25 Current Trends and Applications(Volume 25 Theoretical and Computational Chemistry)


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About the Book

Density Functional Theory: Current Trends and Applications first examines the foundational knowledge surrounding DFT, examining some of its key concepts, such as the Thomas–Fermi model and the Hohenberg–Kohn–Sham theory; looking at the wealth of exchange–correlation functionals; and the advantages and disadvantages of DFT compared to the MO (molecular orbital ) theory and other methods, before exploring the areas of future DFT development. The second section then examines the practical methods and approaches for DFT, looking at the types of density functionals, such as LSDA (local spin-density approximation), GGA (generalized gradient approximation), and meta-GGA functionals; hybrid functionals; DFTB (density functional tight binding) methods; dispersion-corrected functionals; time-dependent DFT; and the plane-wave approach. It also looks at the relationships between DFT and ab initio molecular dynamics and the QM/MM (quantum mechanics/molecular mechanics) approach. This book is designed for graduate- and postgraduate-level students and postdoctoral researchers principally studying computational and physical chemistry, who want to obtain an up-to-date overview and understanding of density functional and its applications.

Table of Contents:
1. Hybrid density functionals as the workhorse of density functional theory for solids 2. Density Functional Based Tight Binding 3. Time-Dependent DFT: development, future perspectives, applications 4. In silico biochemistry through a DFT and QM/MM-based computational microscope 5. Self-interaction-corrected density functional theory 6. DFT for reactivity studies/conceptual DFT: history, current state, and perspectives 7. Properties of Charge Transfer States Based on (TD-)DFT: Defying Accuracy 8. Paving the way to future lithium battery simulations with new DFTB parametrizations 9. Exploring the Role of Hydrogen Bonding in Drug Development: Insights from DFT Calculations 10. Probing enzymatic mechanisms with DFT and enhanced sampling methods 11. Applications of density functional theory to fragment-based calculations of large molecular systems 12. DFT in design of pharmacologically active compounds 13. Performance of DFT on open-shell species - Case studies from atmospheric chemical reactions 14. The oxides and their surfaces at the DFT level: achievements and challenges 15. DFT in design of anticorrosive compounds: current state, perspectives and approaches Conclusions: future goals to address 16. DFT on the materials design and understanding for energy conversion and storage: present state and further perspectives

About the Author :
Aleksey E. Kuznetsov has been working at the Universidad Técnica Federico Santa Maria, Santiago, Chile, since 2019, where he is currently an Assistant Professor. His research focuses on the computational design of the various complexes of porphyrins, including core-modified porphyrins, with nanoparticles, fullerenes, and graphenes, as well as on the computational studies of metal-organic frameworks (MOFs) and Ru-containing complexes with pharmacological applications.


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Product Details
  • ISBN-13: 9780443189777
  • Publisher: Elsevier - Health Sciences Division
  • Publisher Imprint: Elsevier - Health Sciences Division
  • Height: 235 mm
  • No of Pages: 434
  • Sub Title: Volume 25 Current Trends and Applications
  • Width: 191 mm
  • ISBN-10: 0443189773
  • Publisher Date: 28 Oct 2025
  • Binding: Paperback
  • Language: English
  • Series Title: Volume 25 Theoretical and Computational Chemistry
  • Weight: 750 gr


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Density Functional Theory: Volume 25 Current Trends and Applications(Volume 25 Theoretical and Computational Chemistry)
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