GET THE APP

Density Functional Theory: A Versatile Tool in Quantum Chemistry
..

Chemical Sciences Journal

ISSN: 2150-3494

Open Access

Commentary - (2023) Volume 14, Issue 5

Density Functional Theory: A Versatile Tool in Quantum Chemistry

Sayed Moosavi*
*Correspondence: Sayed Moosavi, Department of Chemical and Materials Engineering, Bangor University, Bangor, Gwynedd, Wales, UK, Email:
Department of Chemical and Materials Engineering, Bangor University, Bangor, Gwynedd, Wales, UK

Received: 02-Oct-2023, Manuscript No. CSJ-23-119731; Editor assigned: 04-Oct-2023, Pre QC No. P-119731; Reviewed: 18-Oct-2023, QC No. Q-119731; Revised: 23-Oct-2023, Manuscript No. R-119731; Published: 30-Oct-2023 , DOI: 10.37421/2150-3494.2023.14.365
Citation: Moosavi, Sayed. “Density Functional Theory: A Versatile Tool in Quantum Chemistry.” Chem Sci J 14 (2023): 365.
Copyright: © 2023 Moosavi S. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Quantum chemistry is a branch of science that seeks to understand the behavior of atoms and molecules at the most fundamental level, using the principles of quantum mechanics. It plays a crucial role in a wide range of fields, from drug design and materials science to environmental research and theoretical physics. Density Functional Theory (DFT) has emerged as a versatile and powerful tool within quantum chemistry, enabling researchers to make accurate predictions and gain valuable insights into the electronic structure and properties of molecules and materials. Density functional theory, while a contemporary cornerstone of quantum chemistry, has its roots in the early 20th century. The foundational concept behind DFT can be traced back to the famous Thomas-Fermi model, developed by Llewellyn Thomas and Enrico Fermi in the 1920s. This model aimed to describe the electron density in a system by considering the electron-electron interactions and electron-nuclear interactions. However, the Thomas-Fermi model was quite rudimentary and lacked the accuracy necessary for practical applications.

Keywords

Quantum chemistry, Density Functional Theory (DFT), Electron-electron interactions

Introduction

The key breakthrough came in the 1960s when three researchers, Pierre Hohenberg, Walter Kohn and Lu Sham, independently formulated the fundamental theorems of DFT. Kohn and Sham's work, in particular, laid the foundation for modern DFT. These theorems established that all the groundstate properties of a quantum mechanical system could be determined by the electron density alone. This led to the development of the Kohn-Sham DFT approach, which revolutionized quantum chemistry and made it a practical tool for scientists and researchers. At the heart of DFT is the electron density, which is a distribution of electron charge throughout a molecule or material. DFT focuses on the electron density rather than solving the complex manybody Schrödinger equation that describes the behavior of all electrons in a system. Instead, DFT aims to find the electron density that minimizes the total energy of the system. The Kohn-Sham DFT approach is based on the concept of an auxiliary non-interacting system of fictitious non-interacting electrons with the same electron density as the real system [1-3].

Description

These fictitious electrons are placed in an effective potential, which is approximated in a way that simplifies the problem. Solving the Kohn-Sham equations yields the electron density and various other properties of the system, such as the electronic energy, electron distribution and more. One of the major advantages of DFT is its versatility. It can be applied to a wide range of systems, from small molecules to large biological macromolecules, solids, surfaces and nanomaterials. DFT can accurately predict molecular geometries, bond lengths and angles, which are crucial for understanding chemical reactions and properties. DFT is a valuable tool for predicting and interpreting various spectroscopic data, such as UV-Vis, IR, NMR and EPR spectra. DFT plays a pivotal role in the design and characterization of new materials with tailored properties, including catalysts, superconductors and semiconductors. It is used to study surface properties, adsorption and reactivity, which are crucial for understanding processes like catalysis and corrosion. DFT aids in the design of pharmaceutical compounds and the understanding of their interactions with biological molecules.

DFT can provide insights into the electronic structure of molecules and materials relevant to environmental research, including pollutant degradation and environmental remediation. DFT is a cornerstone in quantum mechanical calculations, providing insight into the electronic structure of complex systems and materials. While DFT is an incredibly powerful tool, it does have some limitations. One of the key challenges is the choice of exchange-correlation functionals. These functionals approximate the electron-electron interactions and the choice of functional can significantly impact the accuracy of DFT calculations. Researchers have developed a wide range of functionals, each tailored to specific types of systems or properties, but there is no universal functional that works perfectly for all cases [4,5]. Additionally, DFT calculations can be computationally demanding, especially for large systems. Highlevel calculations with high accuracy may require substantial computational resources and time. Approximations are often made to speed up calculations, which can affect the precision of results.

Conclusion

Density Functional Theory has become an indispensable tool in quantum chemistry, providing researchers with a versatile and practical means of understanding the electronic structure and properties of molecules and materials. It has had a profound impact on a wide range of scientific disciplines and continues to evolve as researchers develop more accurate exchangecorrelation functionals and techniques to improve its predictive power. As computational resources and techniques advance, DFT remains at the forefront of quantum chemistry, empowering scientists to explore new frontiers in the world of molecules and materials.

Acknowledgement

None.

Conflict of Interest

None.

References

  1. Lu, Tian and Feiwu Chen. "Multiwfn: A multifunctional wavefunction analyzer."J Comput Chem 33 (2012): 580-592.

    Google Scholar, Crossref, Indexed at

  2. Lu, Tian and Qinxue Chen. "Independent gradient model based on Hirshfeld partition: A new method for visual study of interactions in chemical systems."J Comput Chem43 (2022): 539-555.

    Google Scholar, Crossref, Indexed at

  3. Rutigliano, M and M. Cacciatore. "EleyĆ¢??rideal recombination of hydrogen atoms on a tungsten surface."Phys Chem Chem Phys 13 (2011): 7475-7484.

    Google Scholar, Crossref, Indexed at

  4. Pirani, Fernando, Simona Brizi, Luiz F. Roncaratti and Piergiorgio Casavecchia, et al. "Beyond the Lennard-Jones model: A simple and accurate potential function probed by high resolution scattering data useful for molecular dynamics simulations."Phys Chem Chem Phys10 (2008): 5489-5503.

    Google Scholar, Crossref, Indexed at

  5. Rettner, C. T., E. K. Schweizer, H. Stein and D. J. Auerbach. "Role of surface temperature in the precursor-mediated dissociative chemisorption of N2 on W (100)."Phys Rev Lett 61 (1988): 986.

    Google Scholar, Crossref

Google Scholar citation report
Citations: 912

Chemical Sciences Journal received 912 citations as per Google Scholar report

Chemical Sciences Journal peer review process verified at publons

Indexed In

 
arrow_upward arrow_upward