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Record W3183741622 · doi:10.1149/ma2021-0116771mtgabs

Graphene-Porphyrin Supramolecular Assemblies and Their Consequences in Organic Photovoltaic Cells

2021· article· en· W3183741622 on OpenAlexaff
Pierre D. Harvey

Bibliographic record

VenueECS Meeting Abstracts · 2021
Typearticle
Languageen
FieldMaterials Science
TopicPorphyrin and Phthalocyanine Chemistry
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsPorphyrinOrganic solar cellSupramolecular chemistryElectron acceptorGrapheneAcceptorMaterials scienceFullereneChemical physicsChromophoreExcitonMoleculePhotochemistryNanotechnologyChemistryPolymerPhysicsOrganic chemistryCondensed matter physics

Abstract

fetched live from OpenAlex

Organic photovoltaic cells based on porphyrins, regardless they are small molecules or placed within a conjugated polymer backbone, have become increasingly more performants over the past few years (Solar RRL, 2017, 1, 1-26; Solar RRL, 2018, 2, 1-9; ACS Applied Materials & Interfaces, 2018, 10, 992-1004; ChemPlusChem, 2017, 82, 625-630; ACS Applied Materials & Interfaces, 2019, 11, 28078-28087). In the bulk heterojunction structure, the porphyrin chromophores act as both antennas for exciton energy migration and energy transfer, and as electron donors. At the interfaces of the electron donor and acceptor phases, supramolecular contacts between the porphyrin pigments and electron acceptors occurs. Among the electron acceptors, carbon-based semi-conducting materials such as fullerene- and graphene-type species represent the largest group. Although these photophysical processes at the are deduced from the macroscopic scale behaviors of the solar cells and the use of molecular models where the donor and acceptors of energy and electron are covalently bonded together (Phys. Chem. Chem. Phys. 2017, 19, 24018-24028; Dalton Trans. 2017, 46, 6278-6290; Phys. Chem. Chem. Phys. 2017, 19, 2926-2939), the use of supramolecular assemblies as models is rather limited to a few examples and suffer from the unavoidable weak binding constant of the p-stacked donor-acceptor dyads in solution (Inorg. Chem. 2016, 55, 9230-9239). This weak donor-acceptor binding results in an undesired mixture of assembled and free species in solution rendering the analysis somewhat difficult and often unreliable. The design of more realistic models requires robust anchoring molecular devices using moieties that do not interfere with the photophysical behaviors of the assemblies. Graphene is certainly a good electron acceptor, but the preparation of rigorously reduced graphene is tedious. Concurrently, the alternative is to use reduced graphene oxide but suffers from the poor solubility, and perhaps the presence of oxidized fragments on the graphene sheet. To overcome these inconveniences, the use of nanoribbons of graphene, where soluble groups flank the sides of the ribbons and the graphene segment is free of oxidized portions, appears ideal. The selected anchoring groups are two pyrenes to secure stable assemblies of porphyrin dyes and allowing a coverage of 30% of the available surface. This presentation focusses on the syntheses and characterization of the nanoribbons and their assemblies with zincporphyrin pigments. These assemblies form charge transfer excited states (CT states) and a detailed investigation of their photophysical properties addressing the various processes, namely excitation energy migration, energy (including nanoribbon to zincporphyrin CT state) and electron transfers, is made. These events can be ultrafast often smaller than 1 ps, but also sometime occurring well within the laser pulse, which can be within the 100-150 fs. At first glance these ultrafast events suggest that the photoconversion efficiency, PCE, can not limited by the time scale of these events, but the occurrence of competitive excited state relaxations and back electron transfers also being ultrafast (several hundreds of ps), can contribute in reducing the production of charge separated Frenkel species at the donor-electron interfaces. In these soluble models, it is interesting to discover that the graphene nanoribbons can also act as antennas permitting more photons to be harvested, which subsequently promote energy transfer to the CT assemblies, thus increasing the relative amount of excited CT states at the interfaces (J. Phys. Chem. C 2020, 124, 16248-16260). The creation of these charge transfer assemblies turns out to play a dominant role in their resulting photophysical traits and the enhancement of such CT states in terms of relative amount and spectral position in the red region, can be modulated upon using the push-pull conjugated polymers. The synthesis of such type of conjugated polymers is tricky (J. Org. Chem. 2019, 84, 3590-3594; Macromolecules 2015, 48, 7024-7038; Chem. Commun. 2011, 47, 10942-10944) and will be briefly discussed. Figure 1

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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: Empirical · Consensus signal: Empirical
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)0.0010.000

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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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
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".

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Citations0
Published2021
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