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Record W4383315654 · doi:10.1002/admi.202300524

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

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

Bibliographic record

VenueAdvanced Materials Interfaces · 2023
Typearticle
Languageen
FieldMaterials Science
TopicConducting polymers and applications
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsNanotechnologyOrganic semiconductorMaterials scienceBioelectronicsCharacterization (materials science)Electronic materialsElectronicsEngineering physicsElectrical engineeringEngineeringOptoelectronics

Abstract

fetched live from 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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.006
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.047
GPT teacher head0.296
Teacher spread0.249 · 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; both teacher heads agree on what is shown here.

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

Citations2
Published2023
Admission routes2
Has abstractyes

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