2012
DOI: 10.1016/j.jssc.2012.05.013
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Integration of first-principles methods and crystallographic database searches for new ferroelectrics: Strategies and explorations

Abstract: In this concept paper, the development of strategies for the integration of first-principles methods with crystallographic database mining for the discovery and design of novel ferroelectric materials is discussed, drawing on the results and experience derived from exploratory investigations on three different systems: (1) the double perovskite Sr(Sb 1/2 Mn 1/2 )O3 as a candidate semiconducting ferroelectric; (2) polar derivatives of schafarzikite M Sb2O4; and (3) ferroelectric semiconductors with formula M2P2… Show more

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Cited by 44 publications
(37 citation statements)
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References 79 publications
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“…New understanding may then be gleaned from the down-selected compound and become useful for practitioners of first-principles materials-by-design methods that fall outside the mentioned modalities to predict new functional materials. 56 The functionality-directed approach m 3 D is distinct from the high-throughput approach in that if it focuses directly on the subset of materials that has the required target property rather than attempting all combinations. Computationally speaking, the m 3 D approach then focuses on optimization theory and search methods, whereas the high-throughput focuses on fast direct computations and databases.…”
Section: -3mentioning
confidence: 99%
“…New understanding may then be gleaned from the down-selected compound and become useful for practitioners of first-principles materials-by-design methods that fall outside the mentioned modalities to predict new functional materials. 56 The functionality-directed approach m 3 D is distinct from the high-throughput approach in that if it focuses directly on the subset of materials that has the required target property rather than attempting all combinations. Computationally speaking, the m 3 D approach then focuses on optimization theory and search methods, whereas the high-throughput focuses on fast direct computations and databases.…”
Section: -3mentioning
confidence: 99%
“…Recently, several attempts have been made to find an optimal functional material using high-throughput computational screening. [5][6][7][8] The machine-learning approach presented by G. Pilania 9 is a more accelerated approach to predict properties of large numbers of polymers; however, the prediction accuracy for E g and Îș is low for extending the method to other systems. In this study, we perform ab initio calculations on~1800 oxides (except for 3d transition metal oxides) that cover most binary and ternary oxides identified to date and suggest novel candidate high-Îș dielectrics suitable for each device type.…”
Section: Introductionmentioning
confidence: 99%
“…Any insulator known experimentally to have both a polar and a non-polar phase has likely already been recognized as a potential ferroelectric, necessitating a search for new structures of known compounds. However, systematically searching all insulating compounds for possible new phases is too computationally demanding to attempt systematically.In this work, we employ two strategies to identify new ferroelectrics, which we apply to a much larger range of materials than related previous searches [1,10,14,[27][28][29][30][31][32][33][34]. In the first strategy, aimed at finding proper ferroelectrics, we start with a list of experimentally known non-polar transition metal oxides, nitrides, and sulfides, and we perform a Γ-point phonon calculation, looking for materials with unstable polar modes.…”
mentioning
confidence: 99%