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X-ray Photoelectron and Absorption Spectroscopy of Metal-Rich Phosphides M2P and M3P (M = Cr−Ni)
The electronic structures of metal-rich binary phosphides M2P and M3P (M = Cr−Ni) have been examined by means of X-ray photoelectron and absorption spectroscopy and compared with those of theExpand
Examination of the bonding in binary transition-metal monophosphides MP (M = Cr, Mn, Fe, Co) by X-ray photoelectron spectroscopy.
TLDR
Atomic charges determined from the P 2p core line spectra and the fitted valence-band spectra support the approximate formulation M(1+)P(1-) for these phosphides, reaffirming the notion that these transition-metal phosphides have considerable metallic character. Expand
New Ternary Rare-Earth Transition-Metal Antimonides RE3MSb5 (RE = La, Ce, Pr, Nd, Sm; M = Ti, Zr, Hf, Nb)
Investigations into ternary rare-earth transition-metal antimonide systems RE{sub x}M{sub y}Sb{sub z} have been going on for at least two decades. These studies have been carried out variously toExpand
Structure of europium zirconium selenide, EuZrSe3
EuZrSe 3 cristallise dans Pnma avec a=8.849, b=3.937, c=14.348A, Z=4; affinement jusqu'a R=0.037. Cette structure est composee de colonnes d'octaedres Zr aux doubles aretes communes. Ces colonnesExpand
High-Throughput Machine-Learning-Driven Synthesis of Full-Heusler Compounds
A machine-learning model has been trained to discover Heusler compounds, which are intermetallics exhibiting diverse physical properties attractive for applications in thermoelectric and spintronicExpand
Metal-metal vs tellurium-tellurium bonding in WTe2 and its ternary variants TaIrTe4 and NbIrTe4
The new ternary transition-metal tellurides TaIrTe{sub 4} and NbIrTe{sub 4} are ordered variants of the WTe{sub 2} structure, which in turn is based on a distortion of the CdI{sub 2}-type layeredExpand
Disentangling Structural Confusion through Machine Learning: Structure Prediction and Polymorphism of Equiatomic Ternary Phases ABC.
TLDR
The ensuing synthesis and characterization of TiFeP adopting both TiNiSi- and ZrNiAl-type structures in a single sample, even after long annealing times (3 months), validate the occurrence of the region of structural uncertainty predicted by machine learning. Expand
Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained andExpand
X-ray photoelectron spectroscopy study of the skutterudites La Fe 4 Sb 12 , Ce Fe 4 Sb 12 , Co Sb 3 , and Co P 3
The electronic structure of the skutterudites $\mathrm{Co}{\mathrm{Sb}}_{3}$, $\mathrm{Co}{\mathrm{P}}_{3}$, $\mathrm{La}{\mathrm{Fe}}_{4}{\mathrm{Sb}}_{12}$, andExpand
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