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Y. Morris Wang

Researcher at Lawrence Livermore National Laboratory

Publications -  28
Citations -  5399

Y. Morris Wang is an academic researcher from Lawrence Livermore National Laboratory. The author has contributed to research in topics: Grain boundary & Lithium. The author has an hindex of 19, co-authored 27 publications receiving 3671 citations.

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High-performance transition metal–doped Pt3Ni octahedra for oxygen reduction reaction

TL;DR: In this article, surface-doped Pt3Ni octahedra supported on carbon with transition metals, termed M•Pt3Ni/C, where M is vanadium, chromium, manganese, iron, cobalt, molybdenum (Mo), tungsten, or rhenium.
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Additively manufactured hierarchical stainless steels with high strength and ductility

TL;DR: The potential of additive manufacturing to create alloys with unique microstructures and high performance for structural applications is demonstrated, with austenitic 316L stainless steels additively manufactured via a laser powder-bed-fusion technique exhibiting a combination of yield strength and tensile ductility that surpasses that of conventional 316L steels.
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Stochastic transport through carbon nanotubes in lipid bilayers and live cell membranes

TL;DR: It is shown that short CNTs spontaneously insert into lipid bilayers and live cell membranes to form channels that exhibit a unitary conductance of 70–100 picosiemens under physiological conditions, thereby establishing these nanopores as a promising biomimetic platform for developing cell interfaces, studying transport in biological channels, and creating stochastic sensors.
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Self-optimizing, highly surface-active layered metal dichalcogenide catalysts for hydrogen evolution

TL;DR: In this article, the electronic factors underlying catalytic activity on MX-2 surfaces were unraveled and leverage the understanding to report group-5 MX2 electrocatalysts whose performance instead mainly derives from highly active basalplane sites, as suggested by first-principles calculations and performance comparisons with edge-active counterparts.
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Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing

TL;DR: High-fidelity simulations are used to capture fast multitransient dynamics at the meso-nanosecond scale and discovered new spatter-induced defect formation mechanisms that depend on the scan strategy and a competition between laser shadowing and expulsion that will help improve build reliability.