R
Rong Wang
Researcher at Chinese Academy of Sciences
Publications - 1085
Citations - 42153
Rong Wang is an academic researcher from Chinese Academy of Sciences. The author has contributed to research in topics: Membrane & Chemistry. The author has an hindex of 90, co-authored 950 publications receiving 32172 citations. Previous affiliations of Rong Wang include Lanzhou University & Hunan Agricultural University.
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Journal ArticleDOI
Subwavelength Gold Grating as Polarizers Integrated with InP-Based InGaAs Sensors.
TL;DR: The Au/SiO2/InP trilayer should be a promising candidate of near-infrared polarizers for the InP-based InGaAs sensors in 1.0-1.6 μm.
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New bio-based copolyesters derived from 1,4-butanediol, terephthalic acid and 2,5-thiophenedicarboxylic acid: Synthesis, crystallization behavior, thermal and mechanical properties
TL;DR: In this article, a series of 2,5-thiophenedicarboxylic acid-based copolyesters (PBTTFs) were synthesized from TFDCA, terephthalic acid (TA) and 1,4-butanediol (BDO).
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Enhancing boron rejection in FO using alkaline draw solutions
TL;DR: The results show that boron rejection can be significantly enhanced by increasing the pH of NaCl DS to 12.5 in the active-layer-facing-feed-solution (AL-FS) orientation, which opens a new dimension for controlling contaminant removal by FO using tailored DS chemistry.
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Recent Progress in Mixed-Matrix Membranes for Hydrogen Separation
TL;DR: In this article, a review of mixed-matrix membranes (MMMs) for hydrogen separation is presented, which includes emerging filler materials that include zeolites, metal-organic frameworks, covalent organic frameworks and graphene-based materials.
Proceedings ArticleDOI
Fully Memristive SNNs with Temporal Coding for Fast and Low-power Edge Computing
Xumeng Zhang,Zuheng Wu,Jikai Lu,Jinsong Wei,Jian Lu,Jiaxue Zhu,Jie Qiu,Rong Wang,Kaihua Lou,Yongzhou Wang,Tuo Shi,Chunmeng Dou,Dashan Shang,Qi Liu,Ming Liu +14 more
TL;DR: In this article, a fully memristive SNN with temporal coding (TC) was implemented on a NbO x device to achieve faster inference speed and lower power than what happens in rate-coding SNNs.