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      Imperfections are not 0 K: free energy of point defects in crystals

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          Abstract

          Temperature plays an important role in the formation of point defects. We review different contributions to defect free energies and how to model them, outlining strategies to reduce the associated computational burden.

          Abstract

          Defects determine many important properties and applications of materials, ranging from doping in semiconductors, to conductivity in mixed ionic–electronic conductors used in batteries, to active sites in catalysts. The theoretical description of defect formation in crystals has evolved substantially over the past century. Advances in supercomputing hardware, and the integration of new computational techniques such as machine learning, provide an opportunity to model longer length and time-scales than previously possible. In this Tutorial Review, we cover the description of free energies for defect formation at finite temperatures, including configurational (structural, electronic, spin) and vibrational terms. We discuss challenges in accounting for metastable defect configurations, progress such as machine learning force fields and thermodynamic integration to directly access entropic contributions, and bottlenecks in going beyond the dilute limit of defect formation. Such developments are necessary to support a new era of accurate defect predictions in computational materials chemistry.

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          Most cited references149

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          First principles phonon calculations in materials science

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            Thermal Properties of the Inhomogeneous Electron Gas

            N. Mermin (1965)
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              The atomic simulation environment—a Python library for working with atoms

              The atomic simulation environment (ASE) is a software package written in the Python programming language with the aim of setting up, steering, and analyzing atomistic simulations. In ASE, tasks are fully scripted in Python. The powerful syntax of Python combined with the NumPy array library make it possible to perform very complex simulation tasks. For example, a sequence of calculations may be performed with the use of a simple 'for-loop' construction. Calculations of energy, forces, stresses and other quantities are performed through interfaces to many external electronic structure codes or force fields using a uniform interface. On top of this calculator interface, ASE provides modules for performing many standard simulation tasks such as structure optimization, molecular dynamics, handling of constraints and performing nudged elastic band calculations.
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                Author and article information

                Contributors
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                Journal
                CSRVBR
                Chemical Society Reviews
                Chem. Soc. Rev.
                Royal Society of Chemistry (RSC)
                0306-0012
                1460-4744
                August 29 2023
                2023
                : 52
                : 17
                : 5812-5826
                Affiliations
                [1 ]Thomas Young Centre & Department of Materials, Imperial College London, London SW7 2AZ, UK
                [2 ]Thomas Young Centre & Department of Chemistry, University College London, 20 Gordon Street, London WC1H 0AJ, UK
                [3 ]Department of Physics, Chemistry and Biology (IFM), Linköping University, SE-581 83, Linköping, Sweden
                [4 ]I-X, Imperial College London, London W12 0BZ, UK
                [5 ]Department of Physics, Ewha Womans University, Seoul 03760, Korea
                Article
                10.1039/D3CS00432E
                37565783
                f0574920-9ff0-4574-b156-6cf5dba12f38
                © 2023

                http://creativecommons.org/licenses/by/3.0/

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