Designing New Atomic Layer Deposition Precursors for Third-Generation Photovoltaics
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".