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Developing closed-loop recyclable thermosets and understanding their structure-property relationships are essential steps in advancing a circular materials economy. Here, we present a vinylogous urethane () thermoset with closed-loop recyclability, synthesized through the reaction of polytetrahydrofuran bisacetoacetate () and tris(2-aminoethyl)amine (). These polymers exhibit high elasticity, with only a 3-9% residual strain observed after cyclic tensile testing at a maximum strain of 100%, depending on the molecular weight of and network cross-link density. The two structural parameters also allow modulation of the mechanical and stress-relaxation properties of elastomers. To investigate the hydrolysis of the linkages within the hydrophobic matrix, we employed a heterogeneous system using a biphasic mixture of HCl and CDCl. Our findings show that the hydrophobic s remain stable in pure water but can be dissociated under acidic conditions, with the dissociation rate accelerated at higher temperatures and/or in the presence of higher HCl concentrations. These detailed investigations indicate the potential of elastomers as sustainable substrates for wearable sensors. We therefore conduct a case study of synthesizing a strain sensor through the incorporation of multiwalled carbon nanotubes (s) into the elastomer matrix. The sensor can robustly detect various movements. Moreover, acidic treatment of both the neat polymer and the sensor composite using a HCl and diethyl ether solvent mixture allows for the excellent recovery of (>90%) and (86%), without discernible damage to the s reclaimed from the latter.
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http://dx.doi.org/10.1021/acs.macromol.4c03256 | DOI Listing |
J Chem Phys
September 2025
National Synchrotron Radiation Laboratory, State Key Laboratory of Advanced Glass Materials, Anhui Provincial Engineering Research Center for Advanced Functional Polymer Films, University of Science and Technology of China, Hefei, Anhui 230029, China.
Polymer density is a critical factor influencing material performance and industrial applications, and it can be tailored by modifying the chemical structure of repeating units. Traditional polymer density characterization methods rely heavily on domain expertise; however, the vast chemical space comprising over one million potential polymer structures makes conventional experimental screening inefficient and costly. In this study, we proposed a machine learning framework for polymer density prediction, rigorously evaluating four models: neural networks (NNs), random forest (RF), XGBoost, and graph convolutional neural networks (GCNNs).
View Article and Find Full Text PDFJ Phys Chem Lett
September 2025
Faculty of Chemistry, Wrocław University of Science and Technology, Wyb. Wyspiańskiego 27, PL-50370 Wrocław, Poland.
Computer simulations play an essential role in the interpretation of experimental multiphoton absorption spectra. In addition, models derived from theory allow for the establishment of "structure-property" relationships. This work contributes to these efforts and presents the results of an analysis of two- and three-photon absorptions for a set comprising 450 conjugated molecules performed at the CAM-B3LYP/aug-cc-pVDZ level.
View Article and Find Full Text PDFChemistry
September 2025
Beijing National Laboratory for Molecular Sciences, Key Laboratory of Polymer Chemistry and Physics of Ministry of Education, Center for Soft Matter Science and Engineering, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
Sequence-controlled polyester-based alternating copolymers have attracted significant interest due to their biocompatibility, biodegradability, closed-loop recyclability, and hydrolytic degradability, offering broad potential in biomedical and sustainable materials. Among the available strategies, regioselective ring-opening polymerization (ROP) of asymmetric cyclic di(thio)esters and cyclic(ester-amide)s has emerged as a promising approach for constructing alternating copolymers with precise sequence- and stereo-control, structural diversity, and tunable properties. This review classifies asymmetric cyclic monomers into two categories: (1) monomers with two aliphatic ester bonds, where regioselectivity is mainly dictated by steric differences and typically requires tailored metal catalysts; and (2) monomers with chemically distinct reactive sites (e.
View Article and Find Full Text PDFInt J Biol Macromol
September 2025
Natural Composites Research Group Lab, Department of Materials and Production Engineering, The Sirindhorn International Thai-German Graduate School of Engineering (TGGS), King Mongkut's University of Technology North Bangkok (KMUTNB), Bangkok, Thailand.
This review critically examines the rapidly advancing field of cellulosic natural fibre-reinforced polymer (NFRP) composites, with a particular emphasis on material innovation aligned with sustainability and environmental responsibility. The review presents a systematic analysis of recent literature evaluating the mechanical, thermal, water absorption, wear, and machining characteristics of NFRP composites, as well as the influence of advanced processing approaches such as additive manufacturing. Special attention is given to the structure-property relationships and hybridisation strategies employed to address limitations such as relatively lower mechanical performance and durability compared to synthetic fibre composites.
View Article and Find Full Text PDFJ Chem Inf Model
September 2025
United States Environmental Protection Agency, Center for Computational Toxicology and Exposure, 109 TW Alexander Dr., Research Triangle Park, North Carolina 27711, United States.
To assess environmental fate, transport, and exposure for PFAS (per- and polyfluoroalkyl substances), predictive models are needed to fill experimental data gaps for physicochemical properties. In this work, quantitative structure-property relationship (QSPR) models for octanol-water partition coefficient, water solubility, vapor pressure, boiling point, melting point, and Henry's law constant are presented. Over 200,000 experimental property value records were extracted from publicly available data sources.
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