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Enregistrement W4381433087 · doi:10.1002/smo.20230005

Smart molecules: Serve today and make the future

2023· editorial· en· W4381433087 sur OpenAlexfundno aff
Xiaojun Peng

Notice bibliographique

RevueSmart Molecules · 2023
Typeeditorial
Langueen
DomaineMaterials Science
ThématiqueMachine Learning in Materials Science
Établissements canadiensnon disponible
Organismes subventionnairesDalian Institute of Chemical PhysicsNanyang Technological UniversityHunan UniversityFudan UniversityDalian University of TechnologyEwha Womans UniversityUniversiteit LeidenEast China University of Science and TechnologyUniversity of BathYork UniversityTsinghua UniversityShenzhen UniversityNew York University Abu Dhabi
Mots-clésNanotechnologyPhosphorescencePhotovoltaic systemSmart materialMaterials scienceComputer scienceElectrical engineeringFluorescenceEngineeringPhysics

Résumé

récupéré en direct d'OpenAlex

Smart molecules are advancing rapidly in life and health care. More recently, there has been a growing interest in “smart” molecules for a range of biomedical applications including precise drug delivery, diagnostics, tissue engineering and biomedical devices based on the communications and interactions between molecules and cells. As molecular machines, smart molecules can be controlled by external stimuli. Those features, combined with remarkable architectural versatility, make molecular machines uniquely powerful in a wide range of future technologies, from working as tiny robots for disease detection or drug delivery of microprocessors to specific sites. Smart molecules also play key roles in clean energy science and technology. Smart molecule-based artificial photosynthesis, integrated light-harvesting antennae (photosensitizer), charge separation systems, and catalysts for water oxidation or hydrogen production based on covalently linked subunits are being elaborately designed and improved. In another respect, rapid progress in the development of organic photovoltaic (OPV) technology, numerous OPV materials including smart molecules have come to the fore in achieving outstanding power conversion efficiency and breaking 20% efficiency barrier in the single junction OPV devices. Innovative photovoltaic materials, especially molecular donors and acceptors, have become the dominant factor for improved device performance. Smart molecules are widely used in digital displays. Now, fluorescent and phosphorescent organic dyes play an essential role in the creation of new “smart” molecular displays. Fragments and functional groups capable of free rotation around single bonds can significantly change the fluorescent and phosphorescent organic dye's electronic structure under analyte effects, phase state transitions, or changes in temperature, pressure, and media polarity. Effects of molecular packing of fluorescent and organic dyes are successfully used in developing mechano-, piezo-, and thermo-fluorochromes materials in the optical recording of information, sensors, security items, memory elements, and organic light-emitting diodes technologies. As catalysis, smart molecules could not only promote chemical transformations including small organic molecules, molecular complexes, proteins and nucleic acids, but also act as reversible photoswitches for enantiospecific transformation and reversible photo-superstructures, digital photoprogramming, and tunable circularly polarized luminescence with a high dissymmetry factor. Recent years have witnessed the development of smart materials or stimuli-responsive materials, which can sense the subtle variation in the environment and provide intrinsic property changes including shape, color, conductivity, light transmittance etc. Smart materials-based actuators and robots are expected to be used in smart mechanical outputs, wearable and portable devices, bio-inspired robots and surface haptics. Exploring these materials to construct “smart” mixed reality equipment will reduce the size and the weight of current devices as well as simplify the programming design to current control systems, offering better user experience. Smart Molecules are copublished by Wiley and Dalian University of Technology and it aims to publish experimental and theoretical approaches dealing with molecules based functional systems that show a response to external stimuli, such as light, heat, electric field, magnetic field, sound, guest molecules, et al. It includes but not limited to the following topics: external stimuli induced cis-trans, open-close ring structural transformation, electric configuration interconversion such as spin transition and electron transfer detecting, sensing, self-healing functions of molecules based functional systems, molecular devices and machine, micro and nano-systems, key materials, mechanistic study, molecular design work, function tuning, smart manufacturing, et al. Smart Molecules aims to publish a set of article types, such as research articles, reviews, perspectives, editorials and profiles. All articles accepted and published in Smart Molecules are fully Open Access: immediately freely available to read, download and share. A world-class editorial group with scientists from different research backgrounds has teamed up for Smart Molecules. We proudly introduce our Editors-in-Chief, Prof. Xiaojun Peng (Dalian University of Technology, and Shenzhen University, China), our Associate Editors Prof. Sylvestre Bonnet (Leiden University, Leiden, Netherland), Prof. Jiangli Fan (Dalian University of Technology, Dalian, China), Prof. Tony James (University of Bath, Bath, UK), Prof. Guohui Li (Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, China), Prof. Dongsheng Liu (Tsinghua University, Beijing, China), Prof. Tao Liu (Dalian University of Technology, Dalian, China), Prof. Ryotaro Matsuda (Nagoya University, Nagoya, Japan), Prof. Panče Naumov (New York University, New York, USA, and NYU Abu Dhabi, Abu Dhabi, United Arab Emirates), Prof. Kanyi Pu (Nanyang Technological University, Singapore), Prof. Shuangyin Wang (Hunan University, Changsha, China), Prof. Juyoung Yoon (Ewha Womans University, Seoul, Korea), Prof. Yanlei Yu (Fudan University, Shanghai, China), Prof. Weihong Zhu (East China University of Science and Technology, Shanghai, China). We believe that the world-class editorial group will present our authors and reviewers with highly expert peer reviews and post-acceptance processes. In addition, we sincerely thank the support from Dalian University of Technology and the professional guidance from Wiley. We hope that our journal will provide multidisciplinary principles, broad scope, and high-quality standards for a broad readership including chemists, physicists, materials scientists, nanotechnologists, engineers, biologists, medical researchers, and optoelectronic, environmental and analytical scientists from academia and industry as well as policy makers. We believe that Smart Molecules will develop quickly and become a leading open-access journal in the near future. The authors declare no conflicts of interest.

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)0,003
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,025
Score d'incertitude au seuil0,085

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,006
Communication savante0,0070,015
Science ouverte0,0010,004
Intégrité de la recherche0,0050,004
Charge utile insuffisante (le modèle a refusé de juger)0,0250,011

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 Opus0,006
Tête enseignante GPT0,249
Écart entre enseignants0,243 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations3
Publié2023
Routes d'admission1
Résumé présentoui

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