Raman spectra of fine-grained materials from first principles
Raman spectroscopy is an advantageous method for studying the local structure of materials, but the interpretation of measured spectra is complicated by the presence of oblique phonons in polycrystals of polar materials. Whilst group theory considerations and standard ab initio calculations are help...
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Published in | npj computational materials Vol. 6; no. 1 |
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Main Authors | , , , , , |
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14.08.2020
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Abstract | Raman spectroscopy is an advantageous method for studying the local structure of materials, but the interpretation of measured spectra is complicated by the presence of oblique phonons in polycrystals of polar materials. Whilst group theory considerations and standard ab initio calculations are helpful, they are often valid only for single crystals. In this paper, we introduce a method for computing Raman spectra of polycrystalline materials from first principles. We start from the standard approach based on the (Placzek) rotation invariants of the Raman tensors and extend it to include the effect of the coupling between the lattice vibrations and the induced electric field, and the electro-optic contribution, relevant for polar materials like ferroelectrics. As exemplified by applying the method to rhombohedral BaTiO
3
, AlN, and LiNbO
3
, such an extension brings the simulated Raman spectrum to a much better correspondence with the experimental one. Additional advantages of the method are that it is general, permits automation, and thus can be used in high-throughput fashion. |
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AbstractList | Raman spectroscopy is an advantageous method for studying the local structure of materials, but the interpretation of measured spectra is complicated by the presence of oblique phonons in polycrystals of polar materials. Whilst group theory considerations and standard ab initio calculations are helpful, they are often valid only for single crystals. In this paper, we introduce a method for computing Raman spectra of polycrystalline materials from first principles. We start from the standard approach based on the (Placzek) rotation invariants of the Raman tensors and extend it to include the effect of the coupling between the lattice vibrations and the induced electric field, and the electro-optic contribution, relevant for polar materials like ferroelectrics. As exemplified by applying the method to rhombohedral BaTiO3, AlN, and LiNbO3, such an extension brings the simulated Raman spectrum to a much better correspondence with the experimental one. Additional advantages of the method are that it is general, permits automation, and thus can be used in high-throughput fashion. Abstract Raman spectroscopy is an advantageous method for studying the local structure of materials, but the interpretation of measured spectra is complicated by the presence of oblique phonons in polycrystals of polar materials. Whilst group theory considerations and standard ab initio calculations are helpful, they are often valid only for single crystals. In this paper, we introduce a method for computing Raman spectra of polycrystalline materials from first principles. We start from the standard approach based on the (Placzek) rotation invariants of the Raman tensors and extend it to include the effect of the coupling between the lattice vibrations and the induced electric field, and the electro-optic contribution, relevant for polar materials like ferroelectrics. As exemplified by applying the method to rhombohedral BaTiO 3 , AlN, and LiNbO 3 , such an extension brings the simulated Raman spectrum to a much better correspondence with the experimental one. Additional advantages of the method are that it is general, permits automation, and thus can be used in high-throughput fashion. Raman spectroscopy is an advantageous method for studying the local structure of materials, but the interpretation of measured spectra is complicated by the presence of oblique phonons in polycrystals of polar materials. Whilst group theory considerations and standard ab initio calculations are helpful, they are often valid only for single crystals. In this paper, we introduce a method for computing Raman spectra of polycrystalline materials from first principles. We start from the standard approach based on the (Placzek) rotation invariants of the Raman tensors and extend it to include the effect of the coupling between the lattice vibrations and the induced electric field, and the electro-optic contribution, relevant for polar materials like ferroelectrics. As exemplified by applying the method to rhombohedral BaTiO 3 , AlN, and LiNbO 3 , such an extension brings the simulated Raman spectrum to a much better correspondence with the experimental one. Additional advantages of the method are that it is general, permits automation, and thus can be used in high-throughput fashion. |
ArticleNumber | 121 |
Author | Spitaler, Jürgen Veerapandiyan, Vignaswaran K. Bousquet, Eric Popov, Maxim N. Hlinka, Jiri Deluca, Marco |
Author_xml | – sequence: 1 givenname: Maxim N. orcidid: 0000-0002-4923-0785 surname: Popov fullname: Popov, Maxim N. email: maxim.popov@mcl.at organization: Materials Center Leoben (MCL) Forschung GmbH – sequence: 2 givenname: Jürgen surname: Spitaler fullname: Spitaler, Jürgen organization: Materials Center Leoben (MCL) Forschung GmbH – sequence: 3 givenname: Vignaswaran K. surname: Veerapandiyan fullname: Veerapandiyan, Vignaswaran K. organization: Materials Center Leoben (MCL) Forschung GmbH – sequence: 4 givenname: Eric orcidid: 0000-0002-9290-3463 surname: Bousquet fullname: Bousquet, Eric organization: Physique Théorique des Matériaux, QMAT, CESAM, Universite de Liège – sequence: 5 givenname: Jiri orcidid: 0000-0002-9293-4462 surname: Hlinka fullname: Hlinka, Jiri organization: Institute of Physics, Academy of Sciences of the Czech Republic – sequence: 6 givenname: Marco orcidid: 0000-0002-2308-7968 surname: Deluca fullname: Deluca, Marco email: marco.deluca@mcl.at organization: Materials Center Leoben (MCL) Forschung GmbH |
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SubjectTerms | 639/301/1034/1037 639/301/1034/1038 Automation Barium titanates Characterization and Evaluation of Materials Chemistry and Materials Science Computational Intelligence Computer simulation Crystals DFT Electric fields Ferroelectric materials Ferroelectricity First principles Group theory Lattice vibration Lithium niobates Materials Science Mathematical and Computational Engineering Mathematical and Computational Physics Mathematical Modeling and Industrial Mathematics Physical, chemical, mathematical & earth Sciences Physics Physique Physique, chimie, mathématiques & sciences de la terre Polycrystals Raman spectra Raman spectroscopy Relaxor Single crystals Spectrum analysis Tensors Theoretical Vibrations |
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Title | Raman spectra of fine-grained materials from first principles |
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