Kieron Burke

Last updated
Kieron Burke
NationalityIrish-American
Alma mater University of California, Berkeley (PhD)
Known forDensity Functional Theory
Awards
Scientific career
Fields Quantum Mechanics, Density Functional Theory
Institutions University of California, Irvine (UCI)

Kieron Burke is a professor known for his work in the field of quantum mechanics, particularly in developing and advancing density functional theory (DFT). He holds joint appointments as a distinguished professor in the Departments of Chemistry and Physics at the University of California, Irvine (UCI). [1]

Contents

Career and research

Density functional theory

Burke's primary research focus is on density functional theory (DFT), a computational quantum mechanical modeling method used to investigate the electronic structure of many-body systems, particularly atoms, molecules, and condensed phases. DFT has become an essential tool in chemistry and materials science due to its balance of accuracy and computational efficiency. Burke has been instrumental in developing formalism, new approximations, and extensions of DFT to various scientific applications (UCI Chemistry) (Eddleman Quantum Institute) (UCI DFT). [2]

Key contributions

Kieron Burke has contributed significantly to several areas within DFT, including:

Academic and professional recognition

Burke is a fellow of several prestigious organizations, including the American Physical Society, the British Royal Society of Chemistry, and the American Association for the Advancement of Science. He has received numerous awards, including the International Journal of Quantum Chemistry Young Investigator Award and the Bourke Lectureship from the Royal Society of Chemistry (UCI Chemistry) (IAQMS). [7]

Outreach and education

Kieron Burke is also known for his educational efforts and outreach activities. He has delivered lectures and tutorials on DFT around the world and is actively involved in mentoring students and postdoctoral researchers from various scientific disciplines, including chemistry, physics, mathematics, and computer science (UCI Chemistry) (Eddleman Quantum Institute). [8]

Selected publications

Burke has authored over 180 research papers in theoretical chemistry, physical chemistry, condensed matter physics, and surface and interface science. His work is highly cited, reflecting its impact on the scientific community. Some notable publications include:

Related Research Articles

<span class="mw-page-title-main">Computational chemistry</span> Branch of chemistry

Computational chemistry is a branch of chemistry that uses computer simulations to assist in solving chemical problems. It uses methods of theoretical chemistry incorporated into computer programs to calculate the structures and properties of molecules, groups of molecules, and solids. The importance of this subject stems from the fact that, with the exception of some relatively recent findings related to the hydrogen molecular ion, achieving an accurate quantum mechanical depiction of chemical systems analytically, or in a closed form, is not feasible. The complexity inherent in the many-body problem exacerbates the challenge of providing detailed descriptions of quantum mechanical systems. While computational results normally complement information obtained by chemical experiments, it can occasionally predict unobserved chemical phenomena.

Quantum chemistry, also called molecular quantum mechanics, is a branch of physical chemistry focused on the application of quantum mechanics to chemical systems, particularly towards the quantum-mechanical calculation of electronic contributions to physical and chemical properties of molecules, materials, and solutions at the atomic level. These calculations include systematically applied approximations intended to make calculations computationally feasible while still capturing as much information about important contributions to the computed wave functions as well as to observable properties such as structures, spectra, and thermodynamic properties. Quantum chemistry is also concerned with the computation of quantum effects on molecular dynamics and chemical kinetics.

Density functional theory (DFT) is a computational quantum mechanical modelling method used in physics, chemistry and materials science to investigate the electronic structure of many-body systems, in particular atoms, molecules, and the condensed phases. Using this theory, the properties of a many-electron system can be determined by using functionals - that is, functions that accept a function as input and output a single real number as an output. In the case of DFT, these are functionals of the spatially dependent electron density. DFT is among the most popular and versatile methods available in condensed-matter physics, computational physics, and computational chemistry.

Gaussian is a general purpose computational chemistry software package initially released in 1970 by John Pople and his research group at Carnegie Mellon University as Gaussian 70. It has been continuously updated since then. The name originates from Pople's use of Gaussian orbitals to speed up molecular electronic structure calculations as opposed to using Slater-type orbitals, a choice made to improve performance on the limited computing capacities of then-current computer hardware for Hartree–Fock calculations. The current version of the program is Gaussian 16. Originally available through the Quantum Chemistry Program Exchange, it was later licensed out of Carnegie Mellon University, and since 1987 has been developed and licensed by Gaussian, Inc.

Psi is an ab initio computational chemistry package originally written by the research group of Henry F. Schaefer, III. Utilizing Psi, one can perform a calculation on a molecular system with various kinds of methods such as Hartree-Fock, Post-Hartree–Fock electron correlation methods, and density functional theory. The program can compute energies, optimize molecular geometries, and compute vibrational frequencies. The major part of the program is written in C++, while Python API is also available, which allows users to perform complex computations or automate tasks easily.

The Vienna Ab initio Simulation Package, better known as VASP, is a package written primarily in Fortran for performing ab initio quantum mechanical calculations using either Vanderbilt pseudopotentials, or the projector augmented wave method, and a plane wave basis set. The basic methodology is density functional theory (DFT), but the code also allows use of post-DFT corrections such as hybrid functionals mixing DFT and Hartree–Fock exchange, many-body perturbation theory and dynamical electronic correlations within the random phase approximation (RPA) and MP2.

Vibronic coupling in a molecule involves the interaction between electronic and nuclear vibrational motion. The term "vibronic" originates from the combination of the terms "vibrational" and "electronic", denoting the idea that in a molecule, vibrational and electronic interactions are interrelated and influence each other. The magnitude of vibronic coupling reflects the degree of such interrelation.

Koopmans' theorem states that in closed-shell Hartree–Fock theory (HF), the first ionization energy of a molecular system is equal to the negative of the orbital energy of the highest occupied molecular orbital (HOMO). This theorem is named after Tjalling Koopmans, who published this result in 1934.

Octopus is a software package for performing Kohn‍–‍Sham density functional theory (DFT) and time-dependent density functional theory (TDDFT) calculations.

<span class="mw-page-title-main">Spartan (chemistry software)</span>

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Car–Parrinello molecular dynamics or CPMD refers to either a method used in molecular dynamics or the computational chemistry software package used to implement this method.

Hybrid functionals are a class of approximations to the exchange–correlation energy functional in density functional theory (DFT) that incorporate a portion of exact exchange from Hartree–Fock theory with the rest of the exchange–correlation energy from other sources. The exact exchange energy functional is expressed in terms of the Kohn–Sham orbitals rather than the density, so is termed an implicit density functional. One of the most commonly used versions is B3LYP, which stands for "Becke, 3-parameter, Lee–Yang–Parr".

Axel Dieter Becke is a physical chemist and Professor of Chemistry at Dalhousie University, Canada. He is a leading researcher in the application of density functional theory (DFT) to molecules.

<span class="mw-page-title-main">CP2K</span>

CP2K is a freely available (GPL) quantum chemistry and solid state physics program package, written in Fortran 2008, to perform atomistic simulations of solid state, liquid, molecular, periodic, material, crystal, and biological systems. It provides a general framework for different methods: density functional theory (DFT) using a mixed Gaussian and plane waves approach (GPW) via LDA, GGA, MP2, or RPA levels of theory, classical pair and many-body potentials, semi-empirical and tight-binding Hamiltonians, as well as Quantum Mechanics/Molecular Mechanics (QM/MM) hybrid schemes relying on the Gaussian Expansion of the Electrostatic Potential (GEEP). The Gaussian and Augmented Plane Waves method (GAPW) as an extension of the GPW method allows for all-electron calculations. CP2K can do simulations of molecular dynamics, metadynamics, Monte Carlo, Ehrenfest dynamics, vibrational analysis, core level spectroscopy, energy minimization, and transition state optimization using NEB or dimer method.

<span class="mw-page-title-main">Alex Zunger</span> Research professor in theoretical physics

Alex Zunger is a theoretical physicist, research professor, at the University of Colorado Boulder. He has authored more than 150 papers in Physical Review Letters and Physical Reviews B Rapid Communication, has an h-index over 150, number of citations over 113,000. He co-authored one of the top-five most cited papers ever to be published in the Physical Review family in its over 100 years' history.

<span class="mw-page-title-main">John Perdew</span> American physicist

John P. Perdew is a theoretical condensed matter physicist known for his contributions to the fields of solid-state physics and quantum chemistry. His work on density functional theory has led to him being one of the world's most cited physicists. Perdew currently teaches and conducts research at Tulane University.

Minnesota Functionals (Myz) are a group of highly parameterized approximate exchange-correlation energy functionals in density functional theory (DFT). They are developed by the group of Donald Truhlar at the University of Minnesota. The Minnesota functionals are available in a large number of popular quantum chemistry computer programs, and can be used for traditional quantum chemistry and solid-state physics calculations.

TeraChem is a computational chemistry software program designed for CUDA-enabled Nvidia GPUs. The initial development started at the University of Illinois at Urbana-Champaign and was subsequently commercialized. It is currently distributed by PetaChem, LLC, located in Silicon Valley. As of 2020, the software package is still under active development.

<span class="mw-page-title-main">Non-covalent interactions index</span>

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<span class="mw-page-title-main">Peter Gill (chemist)</span> New Zealand chemist (born 1962)

Peter Malcolm Wallace Gill is a New Zealand theoretical and computational chemist known for his contribution to density functional theory (DFT). He is an early and main contributor to the computational chemistry software Q-Chem and was the president of the company during 1998–2013. He is especially known for developing the PRISM algorithm for evaluating two-electron integrals and linear-scaling DFT, as well as self-consistent field method for excited state electronic structure.

References

  1. "Department of Chemistry | UCI Department of Chemistry". www.chem.uci.edu. Retrieved 2024-08-03.
  2. "International Academy of Quantum Molecular Science". www.iaqms.org. Retrieved 2024-08-03.
  3. Perdew, John P.; Burke, Kieron; Ernzerhof, Matthias (1996-10-28). "Generalized Gradient Approximation Made Simple". Physical Review Letters. 77 (18): 3865–3868. Bibcode:1996PhRvL..77.3865P. doi:10.1103/PhysRevLett.77.3865. PMID   10062328.
  4. "Adiabatic connection from accurate wave-function calculations". pubs.aip.org. Retrieved 2024-08-03.
  5. McCarty, Kieron Burke, Ryan J. "Burke Group". dft.uci.edu. Retrieved 2024-08-03.{{cite web}}: CS1 maint: multiple names: authors list (link)
  6. Bogojeski, Mihail; Vogt-Maranto, Leslie; Tuckerman, Mark E.; Müller, Klaus-Robert; Burke, Kieron (2020-10-16). "Quantum chemical accuracy from density functional approximations via machine learning". Nature Communications. 11 (1): 5223. Bibcode:2020NatCo..11.5223B. doi:10.1038/s41467-020-19093-1. ISSN   2041-1723. PMC   7567867 . PMID   33067479.
  7. "Physics - Kieron Burke". physics.aps.org. Retrieved 2024-08-03.
  8. "Burke Group". dft.uci.edu. Retrieved 2024-08-03.
  9. Pribram-Jones, Aurora; Pittalis, Stefano; Gross, E. K. U.; Burke, Kieron (2014), "Thermal Density Functional Theory in Context", Frontiers and Challenges in Warm Dense Matter, Lecture Notes in Computational Science and Engineering, vol. 96, pp. 25–60, arXiv: 1309.3043 , doi:10.1007/978-3-319-04912-0_2, ISBN   978-3-319-04911-3
  10. Pederson, Ryan; Burke, Kieron (2023-08-12), "The difference between molecules and materials: Reassessing the role of exact conditions in density functional theory", Journal of Chemical Physics, 159 (21), arXiv: 2303.01766 , Bibcode:2023JChPh.159u4113P, doi:10.1063/5.0172058, PMID   38054515