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Yuan Gao

Researcher at Agency for Science, Technology and Research

Publications -  238
Citations -  7803

Yuan Gao is an academic researcher from Agency for Science, Technology and Research. The author has contributed to research in topics: Quantum dot & Perovskite (structure). The author has an hindex of 38, co-authored 200 publications receiving 5017 citations. Previous affiliations of Yuan Gao include University of Toronto & Taizhou University.

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Journal ArticleDOI

Evolution of oxide charge trapping under bias temperature stressing

TL;DR: It is found that transient charge trapping is transformed into more permanent trapped charge when the applied electrical cum thermal stress exceeds a certain threshold, and an intrinsic oxide defect – the oxygen vacancy-interstitial (VO − Oi) – could consistently explain the experimental observations.
Journal ArticleDOI

Stochastic domain wall depinning in permalloy nanowires with various types of notches

TL;DR: In this article, the authors reported on the investigation of pinning and depinning of DWs in permalloy nanowires with six types of longitudinally asymmetric notches using focused magneto-optic Kerr effect (FMOKE) magnetometer and magnetic force microscopy (MFM).
Journal ArticleDOI

Controllable Edge Epitaxy of Helical GeSe/GeS Heterostructures.

TL;DR: In this paper , the authors further demonstrate a convenient way for tailoring the twist rate of helical germanium sulfide (GeS) crystals via tuning of the growth temperature.
Proceedings ArticleDOI

A 16-channel TDM analog front-end with enhanced system CMRR for wearable dry EEG recording

TL;DR: A novel AFE architecture that combines time division multiplexing (TDM) and chopping stabilization (CS) to improve the system common mode rejection ratio (CMRR) and the input-referred noise is proposed.
Proceedings ArticleDOI

A 16.6 μW 3.12 MHz RC Relaxation Oscillator with 160.3 dBc/Hz FOM

TL;DR: A novel switch-capacitor based RC charging/discharging circuit is proposed to effectively improve the oscillator phase noise and power performance and the inverter-based comparator with replica biasing is employed and optimized to enhance the phase noise performance and to lower output dependence on the supply voltage variation.