Constrained density functional theory applied to electron tunnelling between defects in MgO
Literature Information
Jochen Blumberger, Keith P. McKenna
We employ a periodic plane-wave implementation of constrained density functional theory to describe electron tunnelling between oxygen vacancy defects in MgO. We find that calculated electron transfer parameters, and therefore electron tunnelling rates, depend sensitively on the fraction of Hartree–Fock exchange (HFX) used to approximate the exchange–correlation functional. In particular, we show that the exponential decay constant for electronic coupling (β) is proportional to the square-root of the band gap of MgO. Therefore, it is essential to use an exchange–correlation functional which predicts the correct band gap for accurate prediction of electron tunnelling rates. We also present a scheme for the correction of finite size effects for electronic coupling due to the interaction with periodic images, and discuss the sensitivity of the results with respect to the charge constraint used. The computationally demanding calculations presented in this work have only become feasible owing to recent advances in both computer hardware and code parallelisation and demonstrate that the first principles modelling of long-range electron transfer in wide-gap oxides is now possible.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.










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