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Pyrochlore Compounds From Atomistic Simulations
Pyrochlore compounds (A (2) B (2)O(7)) have a large applicability in various branches of science and technology. These materials are considered for use as effective ionic conductors for solid state batteries or as matrices for immobilization of actinide elements, amongst many other applications. In...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595831/ https://www.ncbi.nlm.nih.gov/pubmed/34805088 http://dx.doi.org/10.3389/fchem.2021.733321 |
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author | Connor, Timothy Cheong, Oskar Bornhake, Thomas Shad, Alison C. Tesch, Rebekka Sun, Mengli He, Zhengda Bukayemsky, Andrey Vinograd, Victor L. Finkeldei, Sarah C. Kowalski, Piotr M. |
author_facet | Connor, Timothy Cheong, Oskar Bornhake, Thomas Shad, Alison C. Tesch, Rebekka Sun, Mengli He, Zhengda Bukayemsky, Andrey Vinograd, Victor L. Finkeldei, Sarah C. Kowalski, Piotr M. |
author_sort | Connor, Timothy |
collection | PubMed |
description | Pyrochlore compounds (A (2) B (2)O(7)) have a large applicability in various branches of science and technology. These materials are considered for use as effective ionic conductors for solid state batteries or as matrices for immobilization of actinide elements, amongst many other applications. In this contribution we discuss the simulation-based effort made in the Institute of Energy and Climate Research at Forschungszentrum Jülich and partner institutions regarding reliable computation of properties of pyrochlore and defect fluorite compounds. In the scope of this contribution, we focus on the investigation of dopant incorporation, defect formation and anion migration, as well as understanding of order-disorder transitions in these compounds. We present new, accurate simulated data on incorporation of U, Np, Pu, Am and Cm actinide elements into pyrochlores, activation energies for oxygen migration and radiation damage-induced structural changes in these materials. All the discussed simulation results are combined with available experimental data to provide a reliable description of properties of investigated materials. We demonstrate that a synergy of computed and experimental data leads to a superior characterization of pyrochlores, which could not be easily achieved by either of these methods when applied separately. |
format | Online Article Text |
id | pubmed-8595831 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85958312021-11-18 Pyrochlore Compounds From Atomistic Simulations Connor, Timothy Cheong, Oskar Bornhake, Thomas Shad, Alison C. Tesch, Rebekka Sun, Mengli He, Zhengda Bukayemsky, Andrey Vinograd, Victor L. Finkeldei, Sarah C. Kowalski, Piotr M. Front Chem Chemistry Pyrochlore compounds (A (2) B (2)O(7)) have a large applicability in various branches of science and technology. These materials are considered for use as effective ionic conductors for solid state batteries or as matrices for immobilization of actinide elements, amongst many other applications. In this contribution we discuss the simulation-based effort made in the Institute of Energy and Climate Research at Forschungszentrum Jülich and partner institutions regarding reliable computation of properties of pyrochlore and defect fluorite compounds. In the scope of this contribution, we focus on the investigation of dopant incorporation, defect formation and anion migration, as well as understanding of order-disorder transitions in these compounds. We present new, accurate simulated data on incorporation of U, Np, Pu, Am and Cm actinide elements into pyrochlores, activation energies for oxygen migration and radiation damage-induced structural changes in these materials. All the discussed simulation results are combined with available experimental data to provide a reliable description of properties of investigated materials. We demonstrate that a synergy of computed and experimental data leads to a superior characterization of pyrochlores, which could not be easily achieved by either of these methods when applied separately. Frontiers Media S.A. 2021-11-03 /pmc/articles/PMC8595831/ /pubmed/34805088 http://dx.doi.org/10.3389/fchem.2021.733321 Text en Copyright © 2021 Connor, Cheong, Bornhake, Shad, Tesch, Sun, He, Bukayemsky, Vinograd, Finkeldei and Kowalski. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Chemistry Connor, Timothy Cheong, Oskar Bornhake, Thomas Shad, Alison C. Tesch, Rebekka Sun, Mengli He, Zhengda Bukayemsky, Andrey Vinograd, Victor L. Finkeldei, Sarah C. Kowalski, Piotr M. Pyrochlore Compounds From Atomistic Simulations |
title | Pyrochlore Compounds From Atomistic Simulations |
title_full | Pyrochlore Compounds From Atomistic Simulations |
title_fullStr | Pyrochlore Compounds From Atomistic Simulations |
title_full_unstemmed | Pyrochlore Compounds From Atomistic Simulations |
title_short | Pyrochlore Compounds From Atomistic Simulations |
title_sort | pyrochlore compounds from atomistic simulations |
topic | Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8595831/ https://www.ncbi.nlm.nih.gov/pubmed/34805088 http://dx.doi.org/10.3389/fchem.2021.733321 |
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