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Zhong Chen

Researcher at Nanyang Technological University

Publications -  1114
Citations -  37928

Zhong Chen is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Chemistry & Catalysis. The author has an hindex of 80, co-authored 1000 publications receiving 28171 citations. Previous affiliations of Zhong Chen include Institute of High Performance Computing Singapore & National Institute of Education.

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Preparation and optical properties of worm-like gold nanorods.

TL;DR: The generated worm-like gold nanorods comprise shrunk nanorod cores and enwrapped shells, distinguishing from their original counterparts, and possess higher sensitive property in localized surface plasmon resonance than the original Nanorods.
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In Situ Monitoring Potential-Dependent Electrochemical Process by Liquid NMR Spectroelectrochemical Determination: A Proof-of-Concept Study

TL;DR: This work provides a new approach for spectroelectrochemistry, which will contribute to developing electrochemical NMR (EC-NMR) as an important tool for the analysis of electrochemical process at a molecular level.
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Fracture Toughness and Elastic Modulus of Epoxy-Based Nanocomposites with Dopamine-Modified Nano-Fillers.

TL;DR: Fractographic analysis suggests that although polydopamine provides a strong adhesion between the fillers and the matrix, leading to enhanced elastic stiffness, the enhancement prohibits energy release via secondary cracking, resulting in a decrease in fracture toughness.
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High-resolution NMR spectroscopy in inhomogeneous fields via Hadamard-encoded intermolecular double-quantum coherences

TL;DR: The experimental results demonstrate that this pulse sequence can retain useful structural information, even when the field inhomogeneity is sufficiently severe to erase almost all spectral information with conventional one‐dimensional single‐quantum coherence techniques, and good solvent suppression can be achieved.
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An All-In-One Multifunctional Touch Sensor with Carbon-Based Gradient Resistance Elements

TL;DR: Li et al. as mentioned in this paper proposed an all-in-one multipoint touch sensor (AIOM touch sensor) with only two electrodes, which can be used to recognize, learn, and memorize human-machine interactions.