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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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Selective ionic transport through tunable subnanometer pores in single-layer graphene membranes.

TL;DR: The ability to tune the selectivity of graphene through controlled generation of subnanometer pores addresses a significant challenge in the development of advanced nanoporous graphene membranes for nanofiltration, desalination, gas separation, and other applications.
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Electrically Tunable Metasurface Perfect Absorbers for Ultrathin Mid-Infrared Optical Modulators

TL;DR: It is shown that a widely tunable metasurface composed of optical antennas on graphene can be incorporated into a subwavelength-thick optical cavity to create an electrically tunable perfect absorber.
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Broad electrical tuning of graphene-loaded plasmonic antennas.

TL;DR: In situ control of antennas using graphene as an electrically tunable load in the nanoscale antenna gap is demonstrated and shows that combining graphene with metallic nanostructures provides a route to electrically Tunable optical and optoelectronic devices.
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Role of interfacial oxide in high-efficiency graphene-silicon Schottky barrier solar cells.

TL;DR: It is shown that the native oxide on the silicon presents a transport barrier for photogenerated holes and causes recombination current, which is responsible for causing the kink, and a simple semiconductor physics model is proposed that qualitatively captures the effect.
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Remote epitaxy through graphene enables two-dimensional material-based layer transfer

TL;DR: It is shown that the weak van der Waals potential of graphene cannot completely screen the stronger potential field of many substrates, which enables epitaxial growth to occur despite its presence, and is also applicable to InP and GaP.