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Yi Zeng

Researcher at Nanyang Technological University

Publications -  16
Citations -  1145

Yi Zeng is an academic researcher from Nanyang Technological University. The author has contributed to research in topics: Computer science & Electrode. The author has an hindex of 10, co-authored 13 publications receiving 614 citations. Previous affiliations of Yi Zeng include University of Technology, Sydney.

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Editable Supercapacitors with Customizable Stretchability Based on Mechanically Strengthened Ultralong MnO2 Nanowire Composite.

TL;DR: Being highly stretchable, easily programmable, as well as connectable in series and parallel, an editable supercapacitor with customizable stretchability is promising to produce stylish energy storage devices to power various portable, Stretchable, and wearable devices.
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Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors

TL;DR: A bioinspired data fusion architecture that can perform human gesture recognition by integrating visual data with somatosensory data from skin-like stretchable strain sensors made from single-walled carbon nanotubes is reported.
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Dielectric Polarization in Inverse Spinel-Structured Mg2TiO4 Coating to Suppress Oxygen Evolution of Li-Rich Cathode Materials

TL;DR: The usage of dielectric polarization in surface coating to suppress the oxygen evolution of Li-rich material is reported, using Mg2 TiO4 as a proof of concept material and new insights into manipulating surface chemistry of electrode materials to control oxygen activity for high-energy-density rechargeable batteries are proposed.
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Lowering charge transfer barrier of LiMn2O4 via nickel surface doping to enhance Li+ intercalation kinetics at subzero temperatures

TL;DR: Investigations on the charge transfer process via electrochemical impedance spectroscopy and density functional theory calculation, indicate that the interfacial chemistry tuning could effectively lower the activation energy of chargeTransfer process by nearly 20%, endowing the cells with ~75.4% capacity at -30 °C, far surpassing the hardly discharged unmodified counterpart.
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Mediating Short-Term Plasticity in an Artificial Memristive Synapse by the Orientation of Silica Mesopores

TL;DR: It is demonstrated that the orientation of mesopores in the dielectric silica layer can be used to modulate the STP of an artificial memristive synapse, and the implementation of Mesoporous orientation provides a new perspective for engineering artificial synapses with multilevel learning and forgetting capability, which is essential for neuromorphic computing.