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Record W4214715781 · doi:10.1002/cptc.202100053

Singlet Fission

2021· article· en· W4214715781 on OpenAlexaffabout
Rik R. Tykwinski, Dirk M. Guldi

Bibliographic record

VenueChemPhotoChem · 2021
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSinglet fissionSinglet stateSolar energyNanotechnologyEnergy transformationFissionPhotovoltaic systemPhotonPhotovoltaicsPhotoexcitationComputer sciencePhysicsChemistryMaterials scienceNuclear physicsOpticsEngineeringElectrical engineeringQuantum mechanicsNeutron

Abstract

fetched live from OpenAlex

There is no doubt that solar energy will play an increasingly key role in the future of humankind. The ability to harvest, store, and utilize energy from the sun, however, poses a number of significant challenges that need to be met and overcome to efficiently exploit this resource. The past decades have seen significant efforts in the development of new materials, improved solar cell design, and increased device efficiencies. Organic photovoltaic solar cells (OPVs) have the potential to make a crucial contribution to our energy future through, for example, the possibility of low-cost device formation and the use of earth abundant elements. Realizing the potential of OPVs, however, requires that both the efficiencies and long-term stabilities be increased. This special collection in ChemPhotoChem describes a variety of approaches toward using singlet fission as a basis for an improved scheme of solar energy capture and conversion. These articles and a minireview provide exciting insight into new molecules, theoretical analyses, and mechanistic schemes at the forefront of research efforts to harness the potential of singlet fission. Why highlight singlet fission in a special collection of papers? The upper thermodynamic limit for single-junction solar cells is just above 30 %, due largely to the fact that excess energy from the absorbed photons is lost to heat rather that used for charge generation. To overcome this limit, creative and innovative strategies, such as singlet fission, are necessary. Singlet fission is a spin-allowed process in which, upon photoexcitation, the initial singlet state spontaneously splits into a pair of correlated triplet states. Current models suggest that solar cells based on singlet fission could achieve efficiencies of nearly 50 %. Singlet fission in systems based on organic molecules has been known for over 40 years, but only recently has it been embraced as a realistic scheme for OPVs. In the past decade or so, many significant advances have been made with respect to optimizing molecular materials, incorporation of materials into proof-of-concept devices, and understanding the mechanism of singlet fission. Nevertheless, challenges remain, including the ability to effectively “harvest” and convert triplet-excited states formed by singlet fission into useable forms of energy as well as the development of materials and devices that feature long-term stability in OPVs. The design of stable new molecules for singlet fission will undoubtedly play an important role toward solving these changes, including for example, electron-accepting and radical-based systems to complement the use of electronic donating acenes. We hope that this special collection will provide both a window into our current understanding of singlet fission for OPVs as well as provide inspiration toward providing answers for challenges that remain in the field. Rik R. Tykwinski is Professor and Chair of Chemistry at the University of Alberta (Canada). As a physical organic chemist, his research interests center on the synthesis of molecules that model the carbon allotrope carbyne and structure–function studies of carbon-rich conjugated systems. When not in the office, he is most likely entertaining his two sons or out on his mountain bike. Dirk M. Guldi is Professor of Chemistry at the University of Erlangen (Germany). His research interests are centered around light- and charge-management in solar energy conversion schemes using nano-carbons. While doing a full-time academic job, he fits in tri-training into a full and fulfilled life.

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 score0.091
Threshold uncertainty score0.617

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)0.0010.000

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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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

Citations8
Published2021
Admission routes2
Has abstractyes

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