Strainoptronics: A new way to control photons

Strainoptronics: A new way to control photons
Artistic representation of a strain engineered 2D photodetector on silicon photonic circuit. Credit: George Washington University

Researchers discovered a new way to engineer optoelectronic devices by stretching a two-dimensional material on top of a silicon photonic platform. Using this method, coined strainoptronics by a team led by George Washington University professor Volker Sorger, the researchers demonstrated for the first time that a 2-D material wrapped around a nanoscale silicon photonic waveguide creates a novel photodetector that can operate with high efficiency at the technology-critical wavelength of 1550 nanometers.

Such new photodetection can advance future communications and computer systems, especially in emerging areas such as machine learning and .

The ever-increasing data demand of modern societies requires a more efficient conversion of data signals in the optical domain, from fiber optic internet to , like a smartphone or laptop. This conversion process from optical to is performed by a photodetector, a critical building block in optical networks.

2-D materials have scientific and technologically relevant properties for photodetectors. Because of their strong optical absorption, designing a 2-D material-based photodetector would enable an improved photo-conversion, and hence more efficient data transmission and telecommunications. However, 2-D semiconducting materials, such as those from the family of transition metal dichalcogenides, have, so far, been unable to operate efficiently at telecommunication wavelengths because of their large optical bandgap and low absorption.

Strainoptronics provides a solution to this shortcoming and adds an engineering tool for researchers to modify the electrical and optical properties of 2-D materials, and thus the pioneered 2-D material-based photodetectors.

Realizing the potential of strainoptronics, the researchers stretched an ultrathin layer of molybdenum telluride, a 2-D material semiconductor, on top of a silicon photonic waveguide to assemble a novel photodetector. They then used their newly created strainoptronics "control knob" to alter its physical properties to shrink the electronic bandgap, allowing the to operate at near infrared wavelengths, namely at the telecommunication (C-band) relevant wavelength around 1550 nm.

The researchers noted one interesting aspect of their discovery: the amount of strain these semiconductor 2-D materials can bear is significantly higher when compared to bulk materials for a given amount of strain. They also note these novel 2-D material-based photodetectors are 1,000 times more sensitive compared to other photodetectors using graphene. Photodetectors capable of such extreme sensitivity are useful not only for data communication applications but also for medical sensing and possibly even quantum information systems.

"We not only found a new way to engineer a , but also discovered a novel design methodology for , which we termed 'strainoptronics.' These devices bear unique properties for optical data communication and for emerging photonic artificial neural networks used in machine learning and AI," stated Volker Sorger, associate professor of electrical and computer engineering at GW

"Interestingly, unlike bulk materials, two-dimensional materials are particularly promising candidates for strain engineering because they can withstand larger amounts of strain before rupture. In the near future, we want to apply strain dynamically to many other two-dimensional materials in the hopes of finding endless possibilities to optimize photonic devices," concluded Rishi Maiti, postdoctoral fellow in the electrical and computer engineering department at GW

More information: Strain-Engineered High Responsivity MoTe2 Photodetector for Silicon Photonic Integrated Circuits, Nature Photonics (2020) DOI: 10.1038/s41566-020-0647-4

Journal information: Nature Photonics

Citation: Strainoptronics: A new way to control photons (2020, June 22) retrieved 21 February 2024 from
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