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Characterizing News Portrayal of Civil Unrest in Hong Kong, 1998–2020 ...
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Jibes & Delights: A Dataset of Targeted Insults and Compliments to Tackle Online Abuse ...
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Bird’s Eye: Probing for Linguistic Graph Structures with a Simple Information-Theoretic Approach ...
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Temporal Networks : from network theory to brain science ; Réseaux temporels: de la théorie des réseaux à la neuroscience
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In: https://tel.archives-ouvertes.fr/tel-03552035 ; Statistical Mechanics [cond-mat.stat-mech]. Aix-Marseille university, 2021. English (2021)
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Zvěstovite-(Zn), Ag 6 (Ag 4 Zn 2 )As 4 S 13 , a new tetrahedrite-group mineral from Zvěstov, Czech Republic
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In: ISSN: 0026-461X ; EISSN: 1471-8022 ; Mineralogical Magazine ; https://hal.archives-ouvertes.fr/hal-03475309 ; Mineralogical Magazine, Mineralogical Society, 2021, 85 (5), pp.716-724. ⟨10.1180/mgm.2021.57⟩ (2021)
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Abstract:
International audience ; Abstract The new mineral, zvěstovite-(Zn), ideally Ag 6 (Ag 4 Zn 2 )As 4 S 13 , was found in quartz–baryte gangue at the mine dump of the abandoned small deposit of Zvěstov, central Bohemia, Czech Republic. Zvěstovite-(Zn) is associated with tennantite-(Zn), tetrahedrite-(Zn), argentotennantite-(Zn), acanthite and supergene azurite and malachite. The new mineral occurs as rare relic anhedral grains rimmed by acanthite, up to 100 μm in size. Zvěstovite-(Zn) is grey, Mohs hardness is ca . 3½–4, in agreement with other members of the tetrahedrite group; the calculated density is 5.16 g.cm –3 . In reflected light, zvěstovite-(Zn) is grey with a greenish tint, without bireflectance, pleochroism or anisotropy. Deep red internal reflections are ubiquitous. Reflectance values of zvěstovite-(Zn) in air ( R %) are: 28.5 at 470 nm, 26.9 at 546 nm, 25.5 at 589 nm and 23.8 at 650 nm. The empirical formula for zvěstovite-(Zn), based on electron-microprobe analyses ( n = 4), is Ag 6.27 [(Ag 3.90 Cu 0.38 ) Σ4.28 (Zn 1.60 Fe 0.09 Cd 0.03 ) Σ1.72 ] Σ6.00 (As 2.26 Sb 1.48 ) Σ3.74 S 12.50 . The ideal formula is Ag 6 (Ag 4 Zn 2 )As 4 S 13 , which requires (in wt.%) Ag 56.01, Zn 6.79, As 15.56 and S 21.64, total 100.00. Zvěstovite-(Zn) is cubic, I $\bar{4}$ 3 m , with unit-cell parameters: a = 10.850(2) Å, V = 1277.3(8) Å 3 and Z = 2. The strongest reflections of the calculated powder X-ray diffraction pattern [ d , Å (I) ( hkl )] are: 3.1321(100) (222), 2.7125(21) (400), 1.9809(11) (521), 1.9180(31) (440) and 1.6357(15) (622). According to the single-crystal X-ray diffraction data ( R obs = 0.051), the crystal structure of zvěstovite-(Zn) agrees with the general features of the members of the tetrahedrite group. Zvěstovite-(Zn) is named after its type locality, Zvěstov; the suffix indicates the dominant divalent C-constituent, according to the approved nomenclature of the tetrahedrite group. It is the As-isotype of rozhdestvenskayaite-(Zn). The mineral and its name have been approved by the Commission on New Minerals, Nomenclature and Classification of the International Mineralogical Association (IMA2020-061).
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Keyword:
[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]
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URL: https://doi.org/10.1180/mgm.2021.57 https://hal.archives-ouvertes.fr/hal-03475309
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Phrase-Level Action Reinforcement Learning for Neural Dialog Response Generation ...
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Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems ...
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19th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 2 ...
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18th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology - Part 1 ...
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The Match-Extend Serialization Algorithm in Multiprecedence ...
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Recognizing Reduplicated Forms: Finite-State Buffered Machines ...
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Correcting Chinese Spelling Errors with Phonetic Pre-training ...
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PLOME: Pre-training with Misspelled Knowledge for Chinese Spelling Correction ...
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Including Signed Languages in Natural Language Processing ...
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When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ...
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The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ...
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To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ...
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Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ...
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HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ...
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