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Enregistrement W4392704807 · doi:10.29363/nanoge.matsus.2024.368

Enhancing Light-Harvesting with Luminescent Waveguide-Encoded Lattices

2023· article· en· W4392704807 sur OpenAlexaffabout
Rachel C. Evans, Takashi Lawson, H. GARCIA, Kathryn A. Benincasa, Kalaichelvi Saravanamuttu

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiquePhotonic and Optical Devices
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésLuminescenceWaveguideOptoelectronicsComputer scienceMaterials science

Résumé

récupéré en direct d'OpenAlex

Enhancing Light-Harvesting with Luminescent Waveguide-Encoded LatticesRachel Evans a, Takashi Lawson a, Helen Tunstall-Garcia a, Kathryn Benincasa b, Kalaichelvi Saravanamuttu ba Department of Materials Science and Metallurgy, University of Cambridge; Cambridge, UKb Department of Chemistry and Chemical Biology, McMaster University, 1280 Main St. W., Hamilton, Ontario L8S 4M1, CanadaMaterials for Sustainable Development Conference (MATSUS)Proceedings of MATSUS Spring 2024 Conference (MATSUS24)#ProMatSol - Exploring Material Properties for Advanced Solar Energy ApplicationsBarcelona, Spain, 2024 March 4th - 8thOrganizers: Marina Freitag and Elizabeth GibsonInvited Speaker, Rachel Evans, presentation 368DOI: https://doi.org/10.29363/nanoge.matsus.2024.368Publication date: 18th December 2023The Internet of Things (IoT) underpins our future smart world where various electronic devices will be integrated with, and controlled by, wireless communication.[1] Many of these devices will be standalone or portable, creating an urgent demand for off-grid power sources. Solar photovoltaic (PV) cells are viable alternatives to batteries as perpetual power sources for IoT devices. However, crystalline silicon (c-Si) PV cells (which currently account for 95% of the global PV market) are not designed to work with diffuse, artificial indoor light-emitting diode (LED) lighting and perform poorly under these conditions.[2] Luminescent waveguide-encoded lattices (LWELs) are a new class of photonic material that have recently been proposed to compensate for the limitations of c-Si PV cells for indoor PV.[3,4] LWELs consist of a thin (ca. 1 mm) luminescent polymer film encoded with a patterned array of discrete waveguides. The waveguide array is formed through the self-trapping of incident beams of light within a photopolymerisable matrix. This leads to the permanent inscription of polychromatic cylindrical waveguide channels within the polymer matrix, which impart LWELs with an exceptionally wide field-of-view (80% enhancement shown previously[5]). The LWEL is retrofitted to the top surface of a PV cell to enhance light collection. While the optical and materials properties of non-emissive WELs are reasonably well-understood [5,6], the inclusion of a luminophore can complicate the self-trapping processes that led formation of the waveguide channels. In this talk, the relationship between the photopolymerization kinetics, materials composition and optical properties of LWELs will be discussed, with a view to understanding the design rules that underpin efficient performance upon integration with PV cells. References:[1] V. Pecunia, L. G. Occhipinti and R. L. Z. Hoye, Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things, Adv Energy Mater, 2021, 11, 2100698.[2] V. Bahrami-Yekta and T. Tiedje, Limiting efficiency of indoor silicon photovoltaic devices, Opt. Express, 2018, 26, 28238–28248.[3] N. Ding and I. D. Hosein, Fluorescent Waveguide Lattices for Enhanced Light Harvesting and Solar Cell Performance, ACS Appl. Energy Mater. 2023, 6, 6646−6655[4] H. Lin, I. D. Hosein, K. A. Benincasa and K. Saravanamuttu, A Slim Polymer Film with a Seamless Panoramic Field of View: The Radially Distributed Waveguide Encoded Lattice (RDWEL), Adv Opt Mater, 2019, 7, 1801091.[5] I. D. Hosein, H. Lin, M. R. Ponte, D. K. Basker, M. A. Brook and K. Saravanamuttu, Waveguide Encoded Lattices (WELs): Slim Polymer Films with Panoramic Fields of View (FOV) and Multiple Imaging Functionality, Adv Funct Mater, 2017, 27, 1702242.Acknowledgements:This work was funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (Grant Agreement No. 818762 - SPECTRACON), the EPSRC (Grant EP/V048953/1) and the Isaac Newton Trust. © FUNDACIO DE LA COMUNITAT VALENCIANA SCITOnanoGe is a prestigious brand of successful science conferences that are developed along the year in different areas of the world since 2009. Our worldwide conferences cover cutting-edge materials topics like perovskite solar cells, photovoltaics, optoelectronics, solar fuel conversion, surface science, catalysis and two-dimensional materials, among many others.nanoGe Fall MeetingnanoGe Fall Meeting (NFM) is a multiple symposia conference celebrated yearly and focused on a broad set of topics of advanced materials preparation, their fundamental properties, and their applications, in fields such as renewable energy, photovoltaics, lighting, semiconductor quantum dots, 2-D materials synthesis, charge carriers dynamics, microscopy and spectroscopy semiconductors fundamentals, etc.nanoGe Spring MeetingThis conference is a unique series of symposia focused on advanced materials preparation and fundamental properties and their applications, in fields such as renewable energy (photovoltaics, batteries), lighting, semiconductor quantum dots, 2-D materials synthesis and semiconductors fundamentals, bioimaging, etc.International Conference on Hybrid and Organic PhotovoltaicsInternational Conference on Hybrid and Organic Photovoltaics (HOPV) is celebrated yearly in May. The main topics are the development, function and modeling of materials and devices for hybrid and organic solar cells. The field is now dominated by perovskite solar cells but also other hybrid technologies, as organic solar cells, quantum dot solar cells, and dye-sensitized solar cells and their integration into devices for photoelectrochemical solar fuel production.Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and OptoelectronicsThe main topics of the Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP) are discussed every year in Asia-Pacific for gathering the recent advances in the fields of material preparation, modeling and fabrication of perovskite and hybrid and organic materials. Photovoltaic devices are analyzed from fundamental physics and materials properties to a broad set of applications. The conference also covers the developments of perovskite optoelectronics, including light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and OptoelectronicsThe International Conference on Perovskite Thin Film Photovoltaics Perovskite Photonics and Optoelectronics (NIPHO) is the best place to hear the latest developments in perovskite solar cells as well as on recent advances in the fields of perovskite light-emitting diodes, lasers, optical devices, nanophotonics, nonlinear optical properties, colloidal nanostructures, photophysics and light-matter coupling.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,220
Écart entre enseignants0,208 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission2
Résumé présentoui

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