The solid mixture "K GeSb" was shown to comprise single-crystalline K Ge Sb (1), a double salt of K [GeSb ] with carbonate-like [GeSb ] anions, and the metallic Zintl phase K Ge . Extraction of 1 with ethane-1,2-diamine in the presence of crypt-222 afforded [K(crypt-222)] salts of several novel binary Zintl anions: (Ge Sb ) (in 2), (Ge Sb ) (in 3), and in the presence of [AuMePPh ] also (Ge Sb ) (in 4). The anion in 2 represents a predicted, yet heretofore missing pseudo-tetrahedral anion. 4 comprises a cluster analogous to (Ge Bi ) and (Ga Bi ) , and thus one of the most Sb-rich binary p-block anions. The unprecedented cluster topology in 3 can be viewed as a defect-version of the one in 4 upon following a "dead end" of cluster growth. The findings indicate that Ge and Sb atoms are at the border of a well-matching and a mismatch elemental combination. We discuss the syntheses, the geometric structures, and the electronic structures of the new compounds.
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http://dx.doi.org/10.1002/anie.202207232 | DOI Listing |
Environ Sci Technol
January 2025
Air Methods and Characterization Division, U.S. Environmental Protection Agency, Office of Research and Development, 109 T.W. Alexander Drive, Research Triangle Park, North Carolina 27709, United States.
This study examines three representative semigasifier cookstove models each burning four types of pelletized-biomass fuel (hardwood, peanut hull, rice husk, and wheat straw) using the International Organization for Standardization (ISO) 19867-1:2018 protocol. ISO tier ratings for fine particulate matter (PM) and carbon monoxide (CO) emissions ranged 1-4 and 2-5 (where 5 = cleanest), respectively, suggesting that pellet-fueled cookstoves may provide substantial emissions reductions, dependent upon stove/fuel matching and operation, over other biomass-fueled cooking alternatives. PM emission factors based on useful energy delivered (EF) varied by up to 25-fold, and organic and elemental carbon (OC and EC) EF values respectively varied by >200- and ∼100-fold, reflecting complex variability in PM composition.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Physics, University of Trieste, 34127, Trieste, Italy.
Phase-contrast micro-tomography ([Formula: see text]CT) with synchrotron radiation can aid in the differentiation of subtle density variations in weakly absorbing soft tissue specimens. Modulation-based imaging (MBI) extracts phase information from the distortion of reference patterns, generated by periodic or randomly structured wavefront markers (e.g.
View Article and Find Full Text PDFiScience
January 2025
School of Mathematics and Statistics, Zhengzhou University, Zhengzhou 450001, China.
This study introduces a hybrid network model for phase classification, integrating quantum networks and complex-valued neural networks. This architecture uses elemental composition as its only input, eliminating complex feature engineering. Parameterized quantum networks handle sparse elemental data and convert data from real to complex domains, increasing information dimensionality.
View Article and Find Full Text PDFEur J Neurosci
January 2025
Smell and Taste Clinic, Department of Otorhinolaryngology, Technische Universität Dresden, Dresden, Germany.
Target odorant detection in mixtures has been shown to become more difficult as the number of background odorants increases and falls below chance level in mixtures with 16 components. Our aim was to investigate target odorant detection in mixtures among healthy people and compare it between dysosmic patients and age- and gender-matched controls. Participants underwent extensive olfactory testing and performed two target odorant detection tasks.
View Article and Find Full Text PDFDent Mater
January 2025
Department of Materials, School of Natural Sciences, University of Manchester, Manchester M13 9PL, UK; Photon Science Institute, University of Manchester, Manchester M13 9PL, UK. Electronic address:
Objective: To assess the impact of mechanical decontamination using rotary brushes on the surface topography, elemental composition, roughness, and wettability of titanium implant surfaces.
Methods: Four commercially available rotary brushes were used: Labrida BioClean Brush® (LB), i-Brush1 (IB), NiTiBrush Nano (NiTiB), and Peri-implantitis Brush (PIB). Seventy-five titanium discs with sandblasted, large-grit, acid-etched (SLA) surfaces were randomly assigned to five groups (n = 15): LB, IB, NiTiB, PIB, and a control group.
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