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Wei Zhang

Researcher at Chinese Academy of Sciences

Publications -  1643
Citations -  58115

Wei Zhang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Computer science & Amorphous metal. The author has an hindex of 96, co-authored 1404 publications receiving 43392 citations. Previous affiliations of Wei Zhang include University of Surrey & Southern Medical University.

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Alloy Design for High-Entropy Bulk Glassy Alloys

TL;DR: An efficient alloy design for bulk metallic glasses (BMGs) assisted by a composition-configurational entropy (C-CE) diagram has been proposed by introducing a feature of high-entropy (HE) alloys that are defined by an equi-atomic alloy with five or more elements as discussed by the authors.
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Effect of Ti addition on the crystallization behavior and glass-forming ability of Zr–Al–Cu alloys

TL;DR: In this paper, a metastable icosahedral quasicrystal precipitated at the first crystallization stage of the Ti-bearing metallic glasses, which subsequently transformed to the stable Zr 2 Cu-type phase in the followed exothermic reaction.
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Synthesis of uniform carbon@silica nanocables and luminescent silica nanotubes with well controlled inner diameters

TL;DR: In this paper, a sacrificial templating method was used to synthesize uniform carbon@silica nanocables and silica nanotubes with well-controlled inner diameters.
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Robust multi-modality anchor graph-based label prediction for RGB-infrared tracking

TL;DR: A robust multi-modality anchor graph-based label prediction model is developed, which is able to construct a scalable graph representation of the relationship of the samples based on local anchor approximation and defuse a limited amount of known labels to large amount of unlabeled sample efficiently based on transductive learning strategy.
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A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins

TL;DR: A comprehensive CHO global spectral library is presented to measure the abundance of more than 10,000 proteins consisting of 199,102 identified peptides from a CHO-K1 cell proteome to facilitate detailed characterization of upstream and downstream processes, as well as quality by design in biomanufacturing.