Results 91 to 100 of about 5,053 (216)
Zinc-included intermetallic compound catalysts of RhZn, PtZn, and PdZn with a molar ration of Zn/metal = 1/1, which are generally prepared using a hydrogen reduction approach, are known to show excellent catalytic performance in some selective ...
Yasukazu Kobayashi +2 more
doaj +1 more source
Magnetocaloric effect in textured rare earth intermetallic compound ErNi
Melt-spun ErNi crystallizes in orthorhombic FeB-type structure (Space group Pnma, no. 62) similar to the arc-melted ErNi compound. Room temperature X-ray diffraction (XRD) experiments reveal the presence of texture and preferred crystal orientation in ...
Aparna Sankar +6 more
doaj +1 more source
Subsize Pt-based intermetallic compound enables long-term cyclic mass activity for fuel-cell oxygen reduction. [PDF]
Cheng H +13 more
europepmc +1 more source
Metallic microparticles dispersed in liquid metal interconnects mitigate electromigration‐induced failure by reconfiguring internal current density distributions. These fillers facilitate the growth of a robust, protective gallium oxide shell at elevated temperatures, shifting the failure threshold toward a thermal limit.
Ethan J. Krings +6 more
wiley +1 more source
Nanostructured Molybdenum Oxides from Aluminium-Based Intermetallic Compound: Synthesis and Application in Hydrogen Evolution Reaction. [PDF]
Raj D +4 more
europepmc +1 more source
This study achieves anisotropic thermal expansion tuning in Nd2(Co1‐xFex)17‐yCry compounds via a magnetoelastic strategy. Variable‐temperature synchrotron X‐ray diffraction reveals that increased Fe content induces switchable lattice responses. Compositional control reduces the volume expansion coefficient αV by 20% (x═0.7) and modulates TC (442–625 K),
Jiayuan Li +8 more
wiley +1 more source
Experimental Investigation and Thermodynamic Verification for the Phase Relation around the ε-Mg23 (Al, Zn)30 Intermetallic Compound in the Mg-Zn-Al System. [PDF]
Zheng Y +10 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source
We used a zinc oxide–carbon composite interlayer (ZnO@C) via the electron‐beam (e‐beam) irradiation method to fabricate a cost‐effective, high‐energy‐density, anode‐free solid‐state battery. Chemical anchoring between the ZnO and carbon enabled uniform nanoscale morphology, mitigating the high surface energy of the ZnO NPs.
Joonhyeok Park +16 more
wiley +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source

