Sulfur to oxygen substitution in BiOCuSe and its effect on the thermoelectric properties

Han, Mi‐Kyung; Yu, Jingui; Yu, Byung Kyu; Choi, Woongjin; You, Tae‐Soo; Kim, Sungjin

doi:10.1039/c6ta04310k

Cited by 17 publications

(13 citation statements)

References 35 publications

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“…Indeed, the carrier concentration was increased by alkaline earth elements M 2+ (M = Mg, Ca, Sr, and Ba) doping [1,2,4,30]. Besides these alkaline-earth elements, Ag, Na, La, Zn, Cd, and S doping in BiCuSeO [31,32,33,34,35,36,37,38] were reported and exhibited potential performance in medium temperature range. In addition, the compositing with high electrical conductive phases (La 0.8 Sr 0.2 CoO 3 [39], Cu 2 Se [40]) could successfully improve the thermoelectric properties of pristine BiCuSeO through enhancing the electrical conductivity.…”

Section: A Short Review For Various Attempts To Optimize Bicuseo Smentioning

confidence: 99%

BiCuSeO Thermoelectrics: An Update on Recent Progress and Perspective

et al. 2017

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A BiCuSeO system has been reported as a promising thermoelectric material and has attracted great attention in the thermoelectric community since 2010. Recently, several remarkable studies have been reported and the ZT of BiCuSeO was pushed to a higher level. It motivates us to systematically summarize the recent reports on the BiCuSeO system. In this short review, we start with several attempts to optimize thermoelectric properties of BiCuSeO. Then, we introduce several opinions to explore the origins of low thermal conductivity for BiCuSeO. Several approaches to enhance thermoelectric performance are also summarized, including modulation doping, introducing dual-vacancies, and dual-doping, etc. At last, we propose some possible strategies for enhancing thermoelectric performance of BiCuSeO in future research.

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Section: A Short Review For Various Attempts To Optimize Bicuseo Smentioning

confidence: 99%

BiCuSeO Thermoelectrics: An Update on Recent Progress and Perspective

et al. 2017

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“…[1,2] As ac onsequence,t he effect of substitution of oxygen by sulfur on many properties is of particular relevance in biochemistry [3] and chemical reactivity. [4] Therefore,t he investigation of the changes occurring in structural, [5] chemical-physical [6] and spectroscopic properties [7] upon such substitution is of much general interest.…”

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confidence: 99%

Unveiling the Sulfur–Sulfur Bridge: Accurate Structural and Energetic Characterization of a Homochalcogen Intermolecular Bond

et al. 2018

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By combining rotational spectroscopyinsupersonic expansion with the capability of state-of-the-art quantumchemical computations in accurately determining structural and energetic properties,the genuine nature of as ulfur-sulfur chalcogen bond between dimethyl sulfide and sulfur dioxide has been unveiled in agas-jet environment free from collision, solvent and matrix perturbations.ASAPT analysis pointed out that electrostatic S···S interactions play the dominant role in determining the stability of the complex, largely overcoming dispersion and CÀH···O hydrogen-bond contributions.Indeed, in agreement with the analysis of the quadrupole-coupling constants and of the methyl internal rotation barrier,the NBO and NOCV/CD approaches show am arked charge transfer between the sulfur atoms.B ased on the assignment of the rotational spectra for 7i sotopologues,a na ccurate semiexperimental equilibrium structure for the heavy-atom backbone of the molecular complex has been determined, whichis characterized by aS ···S distance (2.947(3) )w ell belowt he sum of van der Waals radii.

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“…We will also consider the automatic extraction of information from graphs and other non-textual components. (a) [19], (b) [20], (c) [21], (d) [20], (e) [22], (f) [23], (g) [24], (h) [25], (i) [26], (j) [21], (k) [27], (l) [28] fig-sample2.pdf…”

Section: Discussionmentioning

confidence: 99%

Annotation and Classification of Graphs of Property Values Reported in Material Science Literature

Iinuma

Kuniyoshi

Ozawa

et al. 2021

Preprint

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Building a system for extracting information from the scientific literature is an important research topic in the field of inorganic materials science. However, conventional extracting systems have a limitation in that they do not extract characteristic values from non-textual components, such as charts, diagrams, and tables, which provide key information in many scientific documents. Although there have been several studies on identifying the characteristic values of graphs in the literature, there is no general method that classifies graphs according to the property conditions of the values in the field of materials science. Therefore, in this study, we focus on the graphs that are figures representing graphically numerical data, such as a bar graph and line graph, as the first step towards developing a framework for extracting material property information from such non-contextual components. We propose deep-learning-based classification models for identifying the types of graph properties, such as temperature and time, by combining graph images, text in graphs, and captions in neural networks. To train and evaluate the models, we construct a material graph dataset with different types of material properties from a large collection of data from journals in the field of materials science. By using cloud sourcing, we annotated 16,668 images in about 3 days. Our experimental results demonstrate that the best model can achieve high performance with a micro-averaged F-score of 0.961.

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Sulfur to oxygen substitution in BiOCuSe and its effect on the thermoelectric properties

Abstract: The effects of S doping at the oxygen site on the thermoelectric properties of BiOCuSe have been investigated.

Cited by 17 publications

References 35 publications

BiCuSeO Thermoelectrics: An Update on Recent Progress and Perspective

BiCuSeO Thermoelectrics: An Update on Recent Progress and Perspective

Unveiling the Sulfur–Sulfur Bridge: Accurate Structural and Energetic Characterization of a Homochalcogen Intermolecular Bond

Annotation and Classification of Graphs of Property Values Reported in Material Science Literature

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