A novel conjugated copolymer has been synthesized and employed as an organic cathode material in rechargeable lithium-ion batteries (LIBs). Due to the synergistic effects from conducting aniline and pyrene units, the resultant batteries based on the as-obtained copolymer can deliver a promising reversible specific capacity of 113 mAh g with a high voltage output of 3.2 V and a remarkable 75.2 % capacity retention after 180 cycles. Moreover, an excellent rate performance is also achieved with a fast recovery of the capacity at different current densities.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1002/asia.201900520 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Extending Conjugation Lengths of the Linkage Units in Triazine-Based Porous Polymers for Enhanced Photocatalysis.
Small Methods
December 2024
School of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
Three triazine-based conjugated porous polymers (CPPs) are synthesized via a Pd-catalyzed Suzuki-Miyaura coupling reaction between derivatives of 2,4,6-tri(thiophen-2-yl)-1,3,5-triazine (TTT) and 2,4,6-triphenyl-1,3,5-triazine (TPT). Photocatalysis experiments demonstrate that the hydrogen evolution rate (HER) of ThTh-CPP (homopolymer of TTT) reach an exceptional 46.4 mmol g⁻¹ h⁻¹ without co-catalysts, surpassing ThPh-CPP (8.
View Article and Find Full Text PDFPreserving positivity in density-explicit field-theoretic simulations.
J Chem Phys
December 2024
Department of Chemical Engineering, University of California, Santa Barbara, California 93106, USA.
Field-theoretic simulations are numerical methods for polymer field theory, which include fluctuation corrections beyond the mean-field level, successfully capturing various mesoscopic phenomena. Most field-theoretic simulations of polymeric fluids use the auxiliary field (AF) theory framework, which employs Hubbard-Stratonovich transformations for the particle-to-field conversion. Nonetheless, the Hubbard-Stratonovich transformation imposes significant limitations on the functional form of the non-bonded potentials.
View Article and Find Full Text PDFGinsenoside Rd-Loaded Antioxidant Polymersomes to Regulate Mitochondrial Homeostasis for Bone Defect Healing in Periodontitis.
Adv Healthc Mater
December 2024
Shanghai Engineering Research Center of Tooth Restoration and Regeneration & Tongji Research Institute of Stomatology & Department of Implantology, Shanghai Tongji Stomatological Hospital and Dental School, Tongji University, Shanghai, 200072, China.
Periodontitis is the leading cause of tooth loss in adults. Initially triggered by bacterial infection, it is characterized by subsequent dysregulation of mitochondrial homeostasis, leading to ongoing loss of periodontal tissue. Mitophagic flux, a critical physiological mechanism for maintaining mitochondrial homeostasis, is compromised in periodontitis.
View Article and Find Full Text PDFModification of Inca peanut albumin-polyphenol conjugates by chitosan through laccase catalysis: Structural, interfacial, and functional properties.
Int J Biol Macromol
December 2024
College of Food Science, South China Agricultural University, No. 483, Wushan Street, Tianhe District, Guangzhou 510642, China. Electronic address:
As a green method, enzyme crosslinking can catalyze chitosan (CS) to improve further the structural, interfacial, and functional properties of Inca peanut albumin (IPA)-polyphenols. However, the structural impact of laccase-catalyzed CS on different IPA-polyphenol conjugates has not been reported. Results revealed that enzymatic cross-linking of IPA-gallic acid (GA) and IPA- (-)-epigallocatechin-3-gallate (EGCG) with CS resulted in a decrease in α-helices, an increase in β-helices, and a more ordered structure.
View Article and Find Full Text PDFInverse design of copolymers including stoichiometry and chain architecture.
Chem Sci
December 2024
Department of Intelligent Systems, Delft University of Technology Delft 2629 HZ The Netherlands
The demand for innovative synthetic polymers with improved properties is high, but their structural complexity and vast design space hinder rapid discovery. Machine learning-guided molecular design is a promising approach to accelerate polymer discovery. However, the scarcity of labeled polymer data and the complex hierarchical structure of synthetic polymers make generative design particularly challenging.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!