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Record W7133033387

Engineering Semiconductor Nanostructures for Short-Wave Infrared Detection

2023· dissertation· W7133033387 on OpenAlex
João M. Pina

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTSpace · 2023
Typedissertation
Language
FieldMaterials Science
TopicChemical and Physical Properties of Materials
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPhotodetectorPassivationDark currentSemiconductorQuantum dotInfraredBand gapPhotodetection
DOInot available

Abstract

fetched live from OpenAlex

Photodetectors fabricated using silicon and III-V compound semiconductors enable accurate light detection across the visible and infrared spectra. These, however, suffer from limited wavelength selectivity and from manufacturing costs that prohibit wider application.Solution-processed semiconductor nanostructures such as colloidal quantum dots (CQDs) represent a promising alternative. These combine ease of processing and a bandgap that is tunable across the short-wave infrared (SWIR) spectrum. At the outset of this study, CQD photodetectors sensitive to this spectral region suffered from high dark current (10-2 mA.cm-2), poor stability (a few hours), and low detection speed (fall time of 500 ns). In this thesis, I focus on the realization and investigation of new CQD device architectures and their effects on dark current, stability, and speed. I then explore the potential benefits of CQD photodetectors over epitaxial technologies. First I investigate the limitations of prior CQD photodetectors. I find that inadequate control over the band alignment and surface passivation lead to high dark current. I pursue the development of a surface-ligand engineering strategy that tailors the functionalities of each layer, enabling me to achieve record low dark current (10-3 mA.cm-2). Next, I study two performance-limiting factors: operating stability and speed. I examine a chief cause of photodetector instability – oxygen adsorption by the electron transport layer – and develop a synthesis method with 10x lower binding energy to oxygen. The new photodetectors are stable for over 100 hours. I then develop a device model to quantify the impact of charge transport layers on the detection speed and use this to fabricate 3x faster photodetectors (fall time of 150 ns). Finally, I explore the advantages of CQD photodetectors over traditional epitaxial semiconductors. I tune the spectral response of the CQDs to a SWIR band in which atmospheric absorption suppresses solar illumination. This results in CQD photodetectors achieving 140x higher signal-to-background ratio compared to Si-based photodetector systems. I then explore the integration of CQDs onto lattice-mismatched substrates, developing an interfacial layer that improves the injection of carriers into silicon. The studies herein offer routes to improve CQD photodetector performance and demonstrate the benefits of CQDs over epitaxial technologies.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.020
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.044
GPT teacher head0.304
Teacher spread0.260 · 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