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Record W4240149269 · doi:10.1049/el.2014.1223

light at the end of the tunnel

2014· article· en· W4240149269 on OpenAlexaboutno aff

Bibliographic record

VenueElectronics Letters · 2014
Typearticle
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsnot available
Fundersnot available
KeywordsPhotodetectorOptoelectronicsPhotodetectionMaterials scienceSiliconSemiconductorQuantum dotNanoscopic scaleChipOptical communicationNanotechnologyComputer scienceTelecommunications

Abstract

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In efforts toward creating practical chip-level optical interconnects, researchers in Canada present the first nanoscale tube based photodetector, compatible with silicon platform integration. The self-organising quantum dot nanoscale photodetector. In this image the shape of the area of InAs/GaAs QD nanomembrane that has rolled-up to form the tube can be clearly seen above the tube Nanoscale photodetectors are important for the future of optical computing and have potential for ultra-high-speed operation and very low power consumption. For practical chip-level optical interconnects, it is also important that photodetectors can be directly integrated with other electronic components on a silicon platform. Silicon is not a suitable material for photodetection in optical communication owing to its relatively large bandgap. Devices based on other semiconductors like germanium and III-V compounds are well known, with good performances having been demonstrated in the optical communication wavelength range (1.3 µm-1.55 µm). However, their direct integration on Si substrate generally leads to very large densities of dislocations in the device active region, because of the large lattice mismatch and differences in the thermal expansion coefficients. This results in device performances that are impractically poor. Flip chip integration and bonding techniques have also been used to transfer active III-V membrane devices onto silicon, but this is a high-cost, time consuming process. More recently, improved results have been obtained by growing ‘self-organised’ III-V compound quantum dot (QD) structures directly on silicon. Self-organised QDs are defect-free nanoscale islands spontaneously formed during epitaxial growth when the grown film thickness exceeds a critical value. QDs are nearly free of dislocations and can suppress the propagation of defects during device operation under harsh conditions, giving long term reliability. In addition, the operation wavelength can be readily tuned by engineering the size and composition of the grown QDs. The team from McGill University, Montreal, have previously demonstrated that nanoscale QD tube devices can be grown and transferred onto virtually any substrate. This gives a viable approach for integration of high performance III-V based nanoscale photonic devices with silicon electronics, as their performance does not suffer from lattice and thermal mismatches between the III-V material and the Si substrate. The team are now reporting the first demonstration of a nanoscale tube based photodetector. The microtube structure of the photodetector is produced by rolling-up an InAs/GaAs QD nanomembrane. The rolling is driven by a coherent strain that is intentionally introduced in the QD heterostructures during growth by molecular beam epitaxy. By selectively etching the underlying AlAs sacrificial layer, the strained QD heterostructure rolls up to form a tubular cavity under strain relaxation. “The InAs QDs embedded in the tube centre region act as the active material of the photodetector. Subsequently, we defined a pin diode along the tube axial dimension using a two-step selective area ion-implantation process. By exposing the active region of the microtube to 1064 nm and thus exciting the InAs QDs within the tube structure, we could clearly measure the induced photocurrent,” explained team member Prof. Zetian Mi. “The major challenge to overcome was to define a functional pin junction along the rolled-up tube axial dimension. To do this, we have optimised the fabrication steps, including a two-step selective area ion implantation process, in order to make rolled-up tube devices with electrical contacts formed on the tubular surfaces. Moreover, we have optimised the annealing and etching conditions to achieve rolled-up devices that are virtually free of defects for high efficiency photodetection.” In addition to its silicon integration capability, in this design the light absorption length and carrier transport are along separate directions, allowing separate optimisation of the photodetector's efficiency and speed. The use of a microtube optical cavity can also significantly enhance light absorption at desired wavelengths by coupling to the cavity modes. The McGill researchers are now working to further improve the external quantum efficiency of the photodetector design by using multiple QD structures and optimising tube diameter to enhance efficiency at the operation wavelength through resonance. Diagram of the structure of the nanoscale photodetector They are also applying their methods to other kinds of device, including high speed electrically injected nanoscale tube lasers and their integration with other electronic and optoelectronic components; working towards the goal of achieving chip-level optical interconnects using III-V nanoscale devices on silicon. Looking beyond this, Mi said: “We have also been working on nanoscale photonic and electronic materials and devices, including the epitaxial growth and fundamental properties of QDs and nanowires and high efficiency LEDs, lasers, and solar fuel devices and systems. We expect that this area will quickly evolve from lab innovation to commercialisation. Such tube devices have been widely studied for applications other than optical interconnects, including biosensors, energy harvesting, microfluidics, and MEMS/NEMS.”

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.344
Threshold uncertainty score0.171

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.164
Teacher spread0.161 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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