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Yi Song

Researcher at Massachusetts Institute of Technology

Publications -  44
Citations -  5506

Yi Song is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Graphene & Graphene nanoribbons. The author has an hindex of 26, co-authored 43 publications receiving 4621 citations.

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Asymmetric Growth of Bilayer Graphene on Copper Enclosures Using Low-Pressure Chemical Vapor Deposition

TL;DR: It is observed that the asymmetric growth environment of a Cu enclosure can yield a much higher bilayer coverage on the outside surface as compared to the bilayer growth on a flat Cu foil, where both sides are exposed to the same growth environment.
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Impact of Chlorine Functionalization on High-Mobility Chemical Vapor Deposition Grown Graphene

TL;DR: Raman spectra indicated that the bonding type between Cl and graphene depends sensitively on the dc bias applied in the plasma chamber during chlorination and can therefore be engineered into different reaction regimes, such as ionic bonding, covalent bonding, and defect creation.
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Electrophoretic and field-effect graphene for all-electrical DNA array technology

TL;DR: The use of graphene as both electrode and transistor suggests a path towards all-electrical multiplexed graphene DNA arrays, as well as two features representing steps towards multiplexing DNA arrays.
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Chalcogenide Glass-on-Graphene Photonics

TL;DR: In this paper, the authors use chalcogenide glass, a multifunctional material which can be directly deposited and patterned on a wide variety of 2D materials and can simultaneously function as the light guiding medium, a gate dielectric, and a passivation layer for 2-D materials, and demonstrate a series of high-performance glass-on-graphene devices including ultra-broadband on-chip polarizers, energy-efficient thermo-optic switches, as well as graphene-based mid-infrared (mid-IR) wave
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Graphene-Based Thermopile for Thermal Imaging Applications

TL;DR: It is extrapolate that graphene's high carrier mobility can enable improved performances with respect to two main figures of merit for infrared detectors: detectivity and noise equivalent temperature difference.