2000
DOI: 10.1006/jssc.2000.8880
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New Ternary Lanthanide Transition-Metal Tellurides: Dy6MTe2, M=Fe, Co, Ni

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Cited by 32 publications
(29 citation statements)
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“…To date, the identifications of previously unknown materials showing metal-to-superconductor transitions require the use of many synthetic attempts, because the physical properties of materials with different stoichiometry and crystal structures may vary widely for a given system. For instance, the binary and ternary compounds of the R–T–Te systems (R = rare-earth; T = Fe–Cu; Figure ) differ widely in their temperature-dependent electrical conductivity behaviors and exhibit phase transitions due to the formations of superconducting states or charge density waves. To accelerate the discoveries of unknown materials with the desired properties, the quantum chemical high-throughput screenings of compound libraries based on appropriate descriptors and intelligent data mapping have emerged as powerful techniques . For example, the uses of high-throughput screenings of databases by means of quantum chemical methods resulted in the accelerated detections of 18-electron ABX compounds, the forecast of 28 topological insulators, a map for phase-change materials, and the prediction of the performances of diverse materials for thermoelectric energy conversion. …”
Section: Introductionmentioning
confidence: 99%
“…To date, the identifications of previously unknown materials showing metal-to-superconductor transitions require the use of many synthetic attempts, because the physical properties of materials with different stoichiometry and crystal structures may vary widely for a given system. For instance, the binary and ternary compounds of the R–T–Te systems (R = rare-earth; T = Fe–Cu; Figure ) differ widely in their temperature-dependent electrical conductivity behaviors and exhibit phase transitions due to the formations of superconducting states or charge density waves. To accelerate the discoveries of unknown materials with the desired properties, the quantum chemical high-throughput screenings of compound libraries based on appropriate descriptors and intelligent data mapping have emerged as powerful techniques . For example, the uses of high-throughput screenings of databases by means of quantum chemical methods resulted in the accelerated detections of 18-electron ABX compounds, the forecast of 28 topological insulators, a map for phase-change materials, and the prediction of the performances of diverse materials for thermoelectric energy conversion. …”
Section: Introductionmentioning
confidence: 99%
“…These are the relatively large collection that are isotypic with ordered hexagonal Fe 2 P (better, Fe 6 P 3 or Zr 6 CoAl 2 ) structure, which here include Sc 6 TnTe 2 , Tn = Mn-Ni, Ru, Os, Rh, Ir; R 6 TnTe 2 , R = Y, La, Gd, Dy, Tn = Co, Ni mainly, Er 6 RuTe 2 , and some unusual variants: Sc 6 Te 0.80 Bi 1.68 , Lu 6 MoSb 2 , and even Lu 8 Te (Lu 6 TeLu 2 ) [118][119][120][121]. Charge and size distributions are diverse within some of these.…”
Section: Other Telluridesmentioning
confidence: 98%
“…b Tentative from atomic radii rule from data of Refs. [3,11,21]. c Tentative from de Gennes rule from data of Ref.…”
Section: Crystal Structurementioning
confidence: 99%
“…The cea diagram for Ho-containing (a) and Zr-containing (b) Fe 2 P-type compounds with different transition metals and p-elements. The a and c parameters for the hypothetical Ho 6 NiTe 2 were extracted from the extrapolation of the linear fits data of Gd 6 NiTe 2 [11], Tb 6 NiTe 2 [21] and Dy 6 NiTe 2 [3]. [26]).…”
Section: Compoundmentioning
confidence: 99%