Le réseau

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L'organisation

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La structure de veille et de réflexion prospective

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Actualités

 

Ionogels à base de cellulose : équilibre entre mécanique, thermique et conductivité pour l’électronique souple

Des chercheurs ont conçu des ionogels à base de cellulose où la cristallisation dirigée des chaînes polymères et l’assemblage moléculaire contrôlé permettent d’optimiser simultanément les propriétés mécaniques, thermiques et électriques. En fragmentant la structure interne via une double phase — l’une hautement cristallisée offrant rigidité et stabilité thermique, l’autre amorphe riche en ions mobiles assurant conductivité — l’équipe parvient à un compromis jusqu’ici difficile à atteindre dans les matériaux mous. La clé est la synergie entre une microstructure “renforcée” et un réseau ionique fluide guidé par la dynamique moléculaire : les interactions hydrogène-cellulose renforcent l’architecture tandis que la phase ionogène maintient la mobilité électrique. Cette avancée ouvre des perspectives pour l’intégration de matériaux biosourcés résistants et fonctionnels dans les domaines des capteurs flexibles, des actionneurs électro-mécaniques et de l’électronique portée.

Membranes microporeuses en poly(vinylène éther cétone) spirocycliques pour la séparation éco-énergétique d’alcools et d’hydrocarbures

Des chercheurs ont développé des membranes à base de poly(vinylène éther cétone) spirocycliques dont la structure moléculaire intègre des motifs donneur-accepteur capables d’interagir sélectivement avec les alcools et de générer une microporosité finement contrôlée, permettant une séparation par filtration sous pression d’un mélange alcool-hydrocarbure sans transition de phase. Le dispositif adopte un mécanisme dual : adsorption préférentielle des alcools suivie d’une diffusion restreinte des hydrocarbures au sein des micropores, ce qui contourne les limites énergétiques des processus de distillation traditionnels. Grâce à cette architecture polymère innovante, la séparation devient beaucoup plus efficiente sur le plan énergétique, marquant une avancée majeure vers des procédés industriels de fractionnement de mélanges azéotropes organiques moins gourmands en énergie.

Tétrafonctions cyclobutanes pour moduler la ténacité des réseaux polymères

Des chercheurs ont démontré qu’en intégrant dans un réseau polymère simple des jonctions méchanoréactives à base de cyclobutanes tétrafonctionnels (TCB), il devient possible de réguler la ténacité sans changer la composition chimique ou la topologie du réseau. Ces mécanophores TCB sont activables uniquement sous contrainte multidirectionnelle et modifient localement la continuité des chaînes dans le réseau, permettant d’augmenter ou de réduire la tenue mécanique d’un gel end-linké. Le concept de « continuité de brin réseau » émerge ainsi comme un descripteur topologique pour interpréter comment la réactivité couplée à la contrainte se traduit en propriété macroscopique. Cette avancée offre un cadre nouveau pour designer des réseaux polymères simples mais adaptables, ouvrant des perspectives pour des gels hautement performants en rupture contrôlée, fatigue ou contraintes dynamiques.

Contrôle réversible de la séparation liquide-liquide par moteurs moléculaires rotatifs dans des assemblages supramoléculaires

Des chercheurs ont démontré qu’un monomère moléculaire intégrant un moteur rotatif gouverné par la lumière peut piloter la phase séparée liquide-liquide (LLPS) de ses assemblages supramoléculaires, en passant par plusieurs états non-à-l’équilibre. La rotation unidirectionnelle induite par irradiation et inversion thermique modifie successivement le moment dipolaire et la capacité de liaison hydrogène du moteur, ce qui fait varier la température critique de séparation et entraîne la formation ou la dissolution de gouttelettes aux interfaces internes. Cette stratégie permet une modulation orthogonale — par la température et la lumière — de la morphologie et de la dynamique des phases, ouvrant ainsi une voie nouvelle à la conception de matériaux mous adaptatifs, capables de capturer puis relâcher des composants selon stimuli externes.

L’intelligence artificielle améliore la détection des microplastiques par spectroscopie infrarouge

Des chercheurs des Instituts de physique de Hefei (Académie chinoise des sciences) ont développé une méthode d’apprentissage profond permettant de classer les microplastiques mixtes avec une précision de 98 %, une avancée majeure pour la surveillance environnementale. Publiée dans le Microchemical Journal, leur approche combine un réseau neuronal convolutionnel à double branche avec un mécanisme d’attention (CBAM), inspiré des systèmes cognitifs humains. Chaque branche du réseau traite différentes composantes spectrales issues de la spectroscopie infrarouge, tandis que le module CBAM identifie successivement les canaux et régions spatiales les plus pertinents avant de générer une carte d’attention pondérée, affinant ainsi les caractéristiques extraites. Cette architecture hybride permet de mieux distinguer les signatures complexes des mélanges de polymères, souvent altérées par les variations de composition. L’analyse visuelle via Grad-CAM met en évidence les zones spectrales clés exploitées par le modèle, apportant une interprétation physique des décisions de l’IA. Cette méthode surpasse largement les algorithmes classiques de classification spectrale, ouvrant la voie à des systèmes automatisés de tri et de suivi des microplastiques dans les milieux aquatiques ou atmosphériques. En intégrant la puissance de l’attention neuronale et de la vision spectrale, cette innovation rapproche l’analyse environnementale d’une surveillance en temps réel, fiable et reproductible des polluants plastiques à l’échelle microscopique.

https://phys.org/news/2025-11-ai-method-boosts-microplastic-classification.html

Transformation réversible CO₂-induite de polymères souples en plastiques rigides et fluorescents

Cette étude démontre la conception de polymères nanostructurés capables de changer d’état mécanique et optique sous l’action du dioxyde de carbone, ouvrant la voie à une valorisation fonctionnelle de ce gaz. Les chercheurs ont élaboré des élastomères constitués de polyéthylèneimine (PEI) vitrifiable par CO₂ et de polydiméthylsiloxane (PDMS) perméable au CO₂, formant une morphologie à séparation de phases nanométrique. L’exposition au CO₂ entraîne la formation de carbamates et d’acides carbamiques qui réticulent densément la phase PEI, transformant instantanément un matériau souple (module de l’ordre du MPa) en plastique rigide (de l’ordre du GPa). Cette vitrification réversible s’accompagne d’une augmentation marquée du module d’élasticité, d’une perte d’adhérence et d’une réduction du frottement de surface, tout en amplifiant fortement la fluorescence bleue du polymère. La combinaison de la diffusion rapide du CO₂ à travers le PDMS et de la réactivité du PEI assure un déclenchement homogène et cyclable du durcissement, stable à température ambiante mais annulé par chauffage. Le phénomène permet également de visualiser et d’enregistrer des motifs luminescents réversibles, suggérant des applications dans les dispositifs de détection, d’affichage et de stockage optique. Ces matériaux multifonctionnels exploitent simultanément la capture, la réactivité et la transduction du CO₂, établissant un concept inédit de polymères « CO₂-curables » capables de convertir une molécule environnementale en stimulus mécanique et optique pour les technologies intelligentes.

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Adhérez au GFP

Devenez un membre et découvrez les avantages d’un abonnement GFP.

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Sections locales GFP

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam feugiat quis risus quis tempus. Morbi pharetra volutpat ligula ut placerat. Morbi sagittis ornare tellus, at molestie urna suscipit id. Praesent non est quis ante pretium ullamcorper. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia Curae; Integer sodales nisi justo, a varius nisi viverra accumsan. Quisque eleifend velit sed suscipit convallis. Donec ac facilisis massa. Donec euismod erat molestie nisi condimentum mattis. Nunc eu eros lacinia, vestibulum nibh vitae, varius magna. Aliquam erat volutpat. Suspendisse potenti.

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