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Record W4401933859

Substrate engineering and advanced epitaxial growth for the production of group IV semiconductor freestanding membranes

2024· dissertation· en· W4401933859 on OpenAlexfundno aff
Tadeáš Hanuš

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2024
Typedissertation
Languageen
FieldEngineering
TopicSemiconductor Lasers and Optical Devices
Canadian institutionsnot available
FundersCentre National de la Recherche ScientifiqueUniversité de SherbrookeNatural Sciences and Engineering Research Council of CanadaMitacsFonds de recherche du Québec – Nature et technologiesUniversité Grenoble Alpes
KeywordsSubstrate (aquarium)MembraneEpitaxyGroup (periodic table)SemiconductorMaterials scienceProduction (economics)NanotechnologyOptoelectronicsChemistryBiologyLayer (electronics)BiochemistryEcology
DOInot available

Abstract

fetched live from OpenAlex

Abstract : Semiconductor-based freestanding membranes (FSMs) have recently become central to the rapidly expanding frontiers of nanoscience and technology, and a highly promising area of advanced materials research. FSMs offer an extra degree of freedom for implementations that cannot be obtained by conventional methods such as heteroepitaxy, which often involves significant lattice mismatch in crystalline structures. Fabrication of FSMs from various materials allows for layer-by-layer stacking, enabling an easy coupling of the physical properties of dissimilar materials. Additionally, FSM structures offer unprecedented lightweight, and flexibility compared to conventional substrates. This demonstrates their high potential for the fabrication of novel applications, such as stretchable on-skin electronics or vertically stacked devices, flexible optoelectronics, etc., as well as a straightforward path for heterointegration. Furthermore, the use of FSMs provides significant cost savings in device production, especially for materials with orders of magnitude higher prices than that of silicon, as only a fraction of the material is being used when compared to conventional wafers. In this context, group IV materials FSM attract a lot of attention for their applications in high-performance optoelectronics and high-speed telecommunication, as well as for their biocompatibility and nontoxicity compared to III-V counterparts. However, the fabrication of high-quality group IV FSMs is still a challenging task. In this thesis, we demonstrate two promising paths for production of group IV FSMs using substrate engineering and advanced epitaxial growth. The first part of this work focuses on 2D-assisted epitaxy. We introduce the Anchor Point Nucleation approach enabling the growth of high-quality FSMs over a graphene-covered surface. Through plasma treatment defects, such as dangling bonds and nanoholes, are introduced in the graphene layer, acting as preferential nucleation sites. The experimental data unravel the nature of these defects, their role in nucleation, and the mechanisms governing this technique. Additionally, high-resolution transmission electron microscopy combined with geometrical phase analysis established that the as-grown layers are perfectly single crystalline, stress-free, and oriented by the substrate underneath the engineered graphene layer. These findings provide new insights into graphene engineering by plasma and open a universal pathway for the heterointegration of high-quality 3D semiconductors on graphene, and fabrication of FSMs. The second part of this work focuses on an alternative approach to produce group IV FSMs using nanostructured substrates. First, we demonstrate the formation of homogenous porous germanium (PGe) layers across the entire 100 mm wafer using bipolar electrochemical etching, with the possibility to tune the physical properties of the PGe structure by variation of etching parameters. The PGe nanostructure maintains the crystalline nature and orientation of the Ge substrate, and presents low surface roughness, making it an ideal substrate for the epitaxy. The low-temperature growth allows maintaining the PGe’s integrity during the formation of high-quality FSM on top. The membrane can then be easily detached through the porous interface and the substrate can be cleaned for reuse and fabrication of multiple FSMs generations. These findings provide new opportunities to produce lightweight and flexible, high-performance optoelectronics based on Ge FSMs, while also ensuring reduction of both costs and critical material consumption.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.080
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.008
GPT teacher head0.204
Teacher spread0.196 · 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
Published2024
Admission routes1
Has abstractyes

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