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Enregistrement W4383315654 · doi:10.1002/admi.202300524

Next‐Generation Organic Semiconductors–Materials, Fundamentals, and Applications

2023· article· en· W4383315654 sur OpenAlexaffabout
Natalie Stingelin, Oana D. Jurchescu, Emanuele Orgiu

Notice bibliographique

RevueAdvanced Materials Interfaces · 2023
Typearticle
Langueen
DomaineMaterials Science
ThématiqueConducting polymers and applications
Établissements canadiensInstitut National de la Recherche Scientifique
Organismes subventionnairesnon disponible
Mots-clésNanotechnologyOrganic semiconductorMaterials scienceBioelectronicsCharacterization (materials science)Electronic materialsElectronicsEngineering physicsElectrical engineeringEngineeringOptoelectronics

Résumé

récupéré en direct d'OpenAlex

Organic semiconductors continue to draw increasing attention from different disciplines because of the plethora of unique and attractive properties. Recent advances in fundamental understanding, coupled with the introduction of new materials and synthetic routes, have enabled the development of prototypical devices with new functionalities and the performance for some devices is now on par with established inorganic technologies. Besides the surge in number of publications on the topic, such demonstrations are paving the way for many innovative applications in emerging sectors of science and technology. Keeping the above in view, the Symposium EQ03 entitled “Next Generation Organic Semiconductors: Materials, Characterization and Applications” was held during the 2022 MRS Spring meeting. This symposium focused on recent advances on the synthesis, characterization, and application of organic materials and systems. Of particular interest were the molecular design, microstructure, and applications of emerging classes of materials, including macromolecular semiconductors, molecular dopants, self-assembling surface-modifying molecules, open-shell organic semiconductors, two-dimensional organic conjugated networks, non-fullerene acceptors, light-emitting molecules with enhanced reverse intersystem crossing, solid-state lasers, organic thermoelectrics, and mixed ion-electron (hole) conductors. The ultimate aim of the symposium was to provide a venue for researchers with different backgrounds to discuss recent developments, challenges, and emerging opportunities in this field. Indeed, the articles published in this special issue are generally related to the next generation of organic materials for the development and technical advancement in electronics, optoelectronics, bioelectronics through chemical design, novel measurement, or deposition techniques. This special issue includes 16 contributions and broadly covers the articles within the domain of synthesis of novel organic semiconductors, understanding of charge transport in devices, exciton dynamics in organic solar cells, doping of organic semiconductors, novel characterization of such materials by energy resolved electrochemical impedance spectroscopy or charge modulation microscopy. These articles will be beneficial for researchers working within the domain of the theme of the special issue i.e. materials science, chemistry, engineering, and physics. The Guest Editors wish to thank all the authors who contributed to this special issue in Advanced Materials Interfaces. In addition, they are immensely grateful to the reviewers who provided valuable feedback to the authors and assisted to improve the quality of all articles for this issue. We expect that this issue will not only be liked by the organic electronics community but also will enlighten researchers towards the challenges, potential, and scope in the fields of bioelectronics, photovoltaics, and thermoelectrics. Natalie Stingelin is a Full Professor at the Georgia Institute of Technology and Chair of the School of Materials Science and Engineering. She was elected a 2023 Member of the European Academy of Sciences, a 2021 Fellow of the U.S. National Academy of Inventors, a 2019 Fellow of the Materials Research Society; and a 2012 Fellow of the Royal Society of Chemistry. She is the Editor-in-Chief of the Journal of Materials Chemistry C and Materials Advances. Her research interests encompass the broad area of functional polymer materials, polymer physics, organic electronics, and photonics. Oana D. Jurchescu is a Baker Family Professor of Physics at Wake Forest University (USA), where she and her team investigate charge transport and structure-property relationships in organic semiconductors and perovskite materials and devices. Her research also includes large-area processing techniques for thin-film electronics, organic devices for medical applications and molecular electronics. She authored more than 100 articles and 4 book chapters. She is an Associate Editor of the Journal of Materials Chemistry C and Materials Advances (RSC). Yutaka Wakayama is group leader within the Quantum Device Engineering Group, in the field of Quantum Materials at the Research Center for Materials Nanoarchitectonics (MANA) in Japan. His research interests include the study of physical properties of organic semiconductors, with an emphasis on devices and hybrid photochromic/organic semiconductor systems for applications in electronics and memories. In addition, he works on novel concept for fabricating logic circuits with organic semiconductors. He published more than 200 articles in highly reputed journals. Emanuele Orgiu is an Associate Professor and leader of the Laboratory of Molecular and Device Physics at Institut national de la recherche scientifique (INRS)/University of Quebec in Montreal (Canada). His current research focuses on understanding novel electronic and optical phenomena occurring in molecular solids and 2D materials. In particular, his team focuses on the understanding of charge and magnetic transport in organic devices and doping phenomena for organic thermoelectrics. He authored more than 100 articles and several book chapters.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
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 enseignants0,006
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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 savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,047
Tête enseignante GPT0,296
Écart entre enseignants0,249 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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

Citations2
Publié2023
Routes d'admission2
Résumé présentoui

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