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Deep learning based automated fracture identification in material characterization experiments
The fracture properties of materials control the limiting strength and performance of a wide range of additively manufactured or machined advanced materials and structural parts in different engineering applications. Their accurate determination is based on the experimental characterization of the material loading state upon fracture [1].
Double-dome superconductivity under pressure in the V-based kagome metals $A{\mathrm{V}}_{3}{\mathrm{Sb}}_{5}$ ($A=\mathrm{Rb}$ and K)
Abstract We present high-pressure resistance measurements on the newly discovered V-based superconductors AV3Sb5 (A = Rb and K), which have an ideal kagome lattice of vanadium. Two superconducting domes under pressure are observed in both compounds, as previously observed in their sister compound CsV3Sb5. For RbV3Sb5, the Tc increases from 0.93 K at ambient pressure to a maximum of 4.15 K at 0.38 GPa in the first dome.
Competition between charge-density-wave and superconductivity in the kagome metal $\mathrm{Rb}{\mathrm{V}}_{3}{\mathrm{Sb}}_{5}$
Abstract The interplay between charge-density-wave (CDW) order and superconductivity (SC) in the kagome metal RbV3Sb5 is studied by tracking the evolutions of their transition temperatures T* and Tc as a function of pressure (P) via measurements of resistivity and magnetic susceptibility under various hydrostatic pressures up to ∼5 GPa. It is found that the CDW order at T* experiences a subtle modification at Pc1≈1.5GPa before it is completely suppressed around Pc2≈2.4GPa. Accordingly, the...
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