Silicon has been a pivotal negative electrode material for the next generation lithium-ion batteries due to its superior theoretical capacity. However, commercial application of Si negative electrodes is seriously restricted by its fast capacity fading as a result of severe volume changes during the process of charge and discharge. A novel functional binder is essential to resolve this conflict. In this work, we have proposed a composite of carboxymethyl cellulose (CMC) and cationic polyacrylamides (CPAM) as an effective network binder to improve the electrochemical performance of Si-based negative electrodes in lithium-ion batteries. The CMC-CPAM composite binder is cross-linked physically through reversible electrostatic interaction. Unlike common covalent cross-linked binders, the network structure of it forms spontaneously at room temperature, which makes it self-healing. Besides, benefits from the use of high molecular CPAM, the CMC-CPAM network binder exhibits excellent mechanical and adhesive strength, which makes it robust enough to tolerate the volume change of Si. As a result, the Si electrode with the self-healing CMC-CPAM composite binder shows an excellent cycling stability than the covalent cross-linked CMC-polyacrylic acid (PAA) and linear CMC binders, with a capacity of 1906.4 mAh·g remaining after 100 cycles. Moreover, the cycling performance of retaining 78% of the initial capacity after 350 cycles is achieved based on the commercial Si@C/graphite negative electrode using the self-healing CMC-CPAM network binder with a very high mass loading (~4 mg·cm).
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http://dx.doi.org/10.1016/j.jcis.2020.06.008 | DOI Listing |
ACS Omega
January 2025
Chemistry Discipline, Khulna University, Khulna 9208, Bangladesh.
The increasing demand for sustainable resources has revived the research on cellulose over the last decades. Therefore, the current research focused on the synthesis of biopolymers for the development of viable tableware utensils from cellulose of coconut coir. The synthesized biopolymer was characterized by using Fourier transform infrared (FT-IR) spectroscopy, thermogravimetric analysis (TGA), scanning electron microscopy (SEM), X-ray diffraction (XRD), tensile strength, and contact angle.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Department of Chemistry, New York University, New York, New York 10003, United States.
Molecular Docking is a critical task in structure-based virtual screening. Recent advancements have showcased the efficacy of diffusion-based generative models for blind docking tasks. However, these models do not inherently estimate protein-ligand binding strength thus cannot be directly applied to virtual screening tasks.
View Article and Find Full Text PDFNature
January 2025
Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Glioblastoma (GBM) infiltrates the brain and can be synaptically innervated by neurons, which drives tumor progression. Synaptic inputs onto GBM cells identified so far are largely short-range and glutamatergic. The extent of GBM integration into the brain-wide neuronal circuitry remains unclear.
View Article and Find Full Text PDFSmall
January 2025
School of Materials and Physics & Center of Mineral Resource Waste Recycling, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China.
Designing spent graphite anodes from lithium-ion batteries (LIBs) for applications beyond regenerated batteries offers significant potential for promoting the recycling of spent LIBs. The battery-grade graphite, characterized by a highly graphitized structure, demonstrates excellent conductive loss capabilities, making it suitable for microwave absorption. During the Li-ion intercalation and deintercalation processes in battery operation, the surface layer of spent graphite (SG) becomes activated, forming oxygen-rich functional groups that enhance the polarization loss mechanism.
View Article and Find Full Text PDFNature
January 2025
Laboratory of Protein Design and Immunoengineering, Institute of Bioengineering, Ecole polytechnique fédérale de Lausanne, Lausanne, Switzerland.
Molecular recognition events between proteins drive biological processes in living systems. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules. Despite recent advances, computational tools for the design of new chemically induced protein interactions have remained a challenging task for the field.
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