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Mario J. Paniccia

Researcher at Intel

Publications -  235
Citations -  14428

Mario J. Paniccia is an academic researcher from Intel. The author has contributed to research in topics: Silicon photonics & Hybrid silicon laser. The author has an hindex of 48, co-authored 224 publications receiving 13587 citations. Previous affiliations of Mario J. Paniccia include Corning Inc..

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A high-speed silicon optical modulator based on a metal–oxide–semiconductor capacitor

TL;DR: An approach based on a metal–oxide–semiconductor (MOS) capacitor structure embedded in a silicon waveguide that can produce high-speed optical phase modulation is described and an all-silicon optical modulator with a modulation bandwidth exceeding 1 GHz is demonstrated.
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A continuous-wave Raman silicon laser

TL;DR: The demonstration of a continuous-wave silicon Raman laser is demonstrated and it is shown that TPA-induced FCA in silicon can be significantly reduced by introducing a reverse-biased p-i-n diode embedded in a silicon waveguide.
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Electrically pumped hybrid AlGaInAs-silicon evanescent laser

TL;DR: An electrically pumped AlGaInAs-silicon evanescent laser architecture where the laser cavity is defined solely by the silicon waveguide and needs no critical alignment to the III-V active material during fabrication via wafer bonding is reported.
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An all-silicon Raman laser

TL;DR: The experimental demonstration of Raman lasing in a compact, all-silicon, waveguide cavity on a single silicon chip represents an important step towards producing practical continuous-wave optical amplifiers and lasers that could be integrated with other optoelectronic components onto CMOS-compatible silicon chips.
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High-speed optical modulation based on carrier depletion in a silicon waveguide

TL;DR: A high-speed and highly scalable silicon optical modulator based on the free carrier plasma dispersion effect is presented that will enable silicon modulators to be one of the key building blocks for integrated silicon photonic chips for next generation communication networks as well as future high performance computing applications.