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Record W4236468560 · doi:10.22215/etd/2021-14420

Designing New Atomic Layer Deposition Precursors for Third-Generation Photovoltaics

2021· dissertation· en· W4236468560 on OpenAlexaff
Goran Bačić

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsCarleton UniversitySaint Mary's University
Fundersnot available
KeywordsAtomic layer depositionThermal stabilityNanotechnologyChemistryThin filmLimitingMaterials scienceOrganic chemistry

Abstract

fetched live from OpenAlex

Atomic layer deposition (ALD) holds a critical position in nanofabrication because of its excellent uniformity, conformality to nanostructured surfaces, subnanometer thickness control, and ability to synthesize high-quality materials and interfaces. Its abilities arise from its chemical mechanism: precursor molecules saturate the surface with a selflimiting monolayer and prevent continuous growth of material, then react with another co-reactant to deposit about one atomic layer of material at a time. Consequently, ALD first requires precursors with suitable volatility, chemical reactivity, and thermal stability. Motivated by the prospects of using ALD to fabricate next-generation solar cells and the unusual quantum mechanical behaviour of Pb-containing materials at the nanoscale, we set out to design, develop, and understand new Pb-containing ALD precursors. We began by attempting to prepare Pb(II) analogues of -heterocyclic carbenes, eventually finding the stable lead(II) rac- , -di-tert-butylbutane-2,3-diamide (1Pb) that displayed the best volatility of any Pb(II) complex reported in the literature (1 Torr vapour pressure at 94 C). With 1Pb and the well-known lead(II) bis[bis(trimethylsilylamide)] (0Pb), we then developed an ultralow-temperature ALD process for PbS using H 2 S as the S-containing co-reactant. Pure and crystalline PbS films were deposited with ideal ALD growth behaviour at temperatures as low as 45 C with 1Pb and 65 C with 0Pb, enabling deposition on thermally sensitive substrates like CH 3 NH 3 PbI 3 (MAPI) perovskites. Not only did the process effectively encapsulate MAPI thin films, they also had tunable -type conductivity, hole mobility, and carrier concentrations. An unusual reduction to elemental Pb(0) of 1Pb by H 2 S was found to begin at 95 C and was studied experimentally and theoretically by density functional theory (DFT) to understand its mechanism. Despite their success at low temperatures, 0Pb and 1Pb were limited by their thermal stability (<155 C), so we set out to design a more stable Pb-containing precursor. The surprising volatility of the dimeric bis[lead(II) N,N -di-tert-butyl-1,1-dimethylsilanediamide] [(4Pb) 2 ] prompted an in-depth theoretical study of its bonding, thermodynamics, and molecular electrostatic properties. By studying (4Pb) 2 and some of its derivatives, we gained a more nuanced view of the chemical nature of volatility with implications for future precursor design. The success of (4Pb) 2 led us to adapt its ligand for Co, yielding the unprecedented spirocyclic low-spin Co(IV) bis[ , -di-tert-butyl-1,1-dimethyldiamidosilane] (4Co). Finally, we explored Sn(II) and Sn(IV) trifluoroacetates as green potential ALD precursors to the transparent conductor F-doped SnO x . We analyzed their structure and bonding by X-ray diffraction (XRD) in the solid state, and gas-phase electron diffraction (GED) and DFT in the vapour phase, showing that their polymeric structures actually increased their volatility, and may represent a new precursor design strategy altogether.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.024
GPT teacher head0.256
Teacher spread0.232 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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
Published2021
Admission routes1
Has abstractyes

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