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Single-step, conformal, and efficient assembly of ligand-exchanged quantum dots for optoelectronic devices an electric field.
Nanoscale
January 2025
Lawrence Livermore National Laboratory, 7000 East Ave, Livermore, CA 94550, USA.
Quantum dots (QDs) are promising materials for optoelectronic applications, but their widespread adoption requires controllable, selective, and scalable deposition methods. While traditional methods like spin coating and drop casting are suitable for small-scale deposition onto flat substrates, and ink-jet printing offers precision for small areas, these methods struggle with conformal deposition onto non-planar, large area substrates or selective deposition onto large area chips. Electrophoretic deposition (EPD) is an efficient and versatile technique capable of achieving conformal and selective area deposition over large areas, but its application to QD films has been limited.
View Article and Find Full Text PDFSingle-molecule resolution of the conformation of polymers and dendrimers with solid-state nanopores.
Talanta
January 2025
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences & Chongqing School, University of Chinese Academy of Science, Chongqing, 400714, PR China. Electronic address:
Polymers and dendrimers are macromolecules, possessing unique and intriguing characteristics, that are widely applied in self-assembled functional materials, green catalysis, drug delivery and sensing devices. Traditional approaches for the structural characterization of polymers and dendrimers involve DLS, GPC, NMR, IR and TG, which provide their physiochemical features and ensemble information, whereas their unimolecular conformation and dispersion also are key features allowing to understand their transporting profile in confined ionic nanochannels. This work demonstrates the nanopore approach for the determination of charged homopolymers, neutral block copolymer and dendrimers under distinct bias potentials and pH conditions.
View Article and Find Full Text PDFSurface State Control of Apatite Nanoparticles by pH Adjusters for Highly Biocompatible Coatings.
ACS Appl Mater Interfaces
January 2025
Department of Materials Science and Technology, Nagaoka University of Technology, 1603-1 Kamitomioka, Nagaoka, Niigata 940-2188, Japan.
Apatite nanoparticles are biocompatible nanomaterials, so their film formation on biodevices is expected to provide effective bonding with living organisms. However, the biodevice-apatite interfaces have not yet been elucidated because there is little experimental evaluation and discussion on the nanoscale interactions, as well as the apatite surface reactivities. Our group has demonstrated the biomolecular adsorption properties on a quartz crystal microbalance with dissipation (QCM-D) sensor coated with apatite nanoparticles, demonstrating the applicability of apatite nanoparticle films on devices.
View Article and Find Full Text PDFImpact of Harsh Grinding on the Structure and Color of LiCoPO and LiNiPO Pigments.
Inorg Chem
January 2025
Bordeaux INP, ICMCB, UMR 5026, Université de Bordeaux, CNRS, F-33600 Pessac, France.
LiCoPO and LiNiPO phosphate pigments have colorations very close to the primary colors of the subtractive system: magenta and yellow, respectively. These two pigments are therefore of great interest in a variety of applications, including e-reader devices. However, the need to reduce their crystallite size in order to formulate stable electrophoretic inks has revealed that aggressive milling results in significant color changes, particularly for cobalt-based pigments.
View Article and Find Full Text PDFDeep-learning-enhanced modeling of electrosprayed particle assembly on non-spherical droplet surfaces.
Soft Matter
January 2025
Department of Mechanical and Aerospace Engineering, University at Buffalo, Buffalo, NY 14260, USA.
Article Synopsis
- Researchers explored how charged colloidal particles assemble at liquid interfaces to enhance the manufacturing of thin film materials.
- The study combined computational simulations and machine learning, using a new algorithm to analyze particle behavior on curved droplet surfaces.
- By optimizing particle and substrate charge densities through a deep learning model, the team achieved a 96.4% similarity between simulated and experimental results, improving prediction accuracy while saving computational time.
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