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Record W7065137076

Direct Laser Writing of Metal and Metal Oxide Patterns for Flexible and Memristive Electronic Components

2023· dissertation· en· W7065137076 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldEngineering
TopicSilicon and Solar Cell Technologies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsLaserSubstrate (aquarium)ElectronicsMetalFlexible electronicsDeposition (geology)Laser power scalingCopper
DOInot available

Abstract

fetched live from OpenAlex

Growing interest in the fields of flexible electronics and AI are leading the development of new manufacturing techniques able to make computer hardware devices that can suite their unique needs. Research into these areas is stalled by the high cost of manufacturing putting rapid and low-cost manufacturing methods in high demand. Direct Laser Writing, as a novel manufacturing technique, has been shown to be able to produce flexible electronic devices rapidly and with the use of inexpensive raw materials. It works by treating a substrate coated in a metal ion precursor with focused laser irradiation. Where the laser interacts with the precursor organic reduction agents within the precursor are able to reduce the metal ions which then form nanoparticles that are then sintered to form interconnected nanoparticle networks. 
\nIn this work direct laser writing is utilized to develop a manufacturing technique of novel flexible electronics for neuromorphic computing hardware. Direct laser writing of copper and copper patterns is used to study the relationship between applied laser energy and electrical properties of deposited patterns. Other metals are also studied. Anodic metals are not able to be fully reduced and are deposited as metal oxides. Cathodic metals are easily reduced and deposited as metals. Metals with intermediate reduction potentials can selectively be deposited as either metals or metal oxides. Deposition of metal alloys with homogenous composition is also demonstrated through the deposition of copper-nickel alloys.
\nMemristor devices fabricated from Cu/Cu2O/Cu patterns are produced using direct laser writing. Planar patterns are fabricated and shown to have a high sensitivity to changing laser settings used to print the oxide region. Bipolar resistive switching is observed with setting and resetting occurring near +/- 0.7V, and ratios between the high and low resistance states being as high as 102 are achieved. Fabricated devices are shown to flexible and stable over long periods of time. 
\nMemristor based logic structures Including Boolean “And” and “Or” gates are fabricated in planar patterns from memristor pairs. Logic gates show signal processing in times as short as 300ns. Moderate signal degradation from the logic gates are noted at 9% and 21% in the “Or” gate and “And” gate respectively. Memristor crossbar arrays are also fabricated from Cu/Cu2O/Cu and Ag/Cu2O/Cu patterns. Their multiple resistance states are programmed and performances are compared.
\nIn summary Direct laser writing is demonstrated as a process that has promise as a method for producing flexible novel computer hardware. Further work is recommended to focus on identifying combinations of materials and laser settings that can further improve the consistency and performance of the direct laser writing fabricated memristor devices.

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 score0.267
Threshold uncertainty score0.854

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 head0.012
GPT teacher head0.201
Teacher spread0.189 · 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
Published2023
Admission routes1
Has abstractyes

Explore more

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