Esterification synthesis of iron oxide nanoparticle tracers for magnetic particle imaging (MPI).
Velazquez-Albino AC +10 more
europepmc +1 more source
Preparation and Characterization of PVDF/PVPylated-TiO<sub>2</sub> Composite Membrane with Enhanced Antifouling Performance. [PDF]
Zhang J +9 more
europepmc +1 more source
Spatially Resolved Production of Platinum Nanoparticles in Metallosupramolecular Polymers
Luis M. Olaechea +6 more
openalex +2 more sources
Device Integration Technology for Practical Flexible Electronics Systems
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa +5 more
wiley +1 more source
Eco-friendly synthesis of titanium dioxide nanoparticles from Cocos nucifera for improved photocatalytic and antimicrobial applications. [PDF]
Tamilselvi Y +10 more
europepmc +1 more source
Photoreversible Color-Switching Cu-Doped TiO2 Nanoparticles for High-Contrast Rewritable Printing [PDF]
Wenshou Wang +7 more
openalex +1 more source
A solid‐state ion exchange strategy constructs dentrimental Li2CO3 into a high‐modulus, high‐surface‐energy interface to enable dendrite‐free deposition of Li metal anode in the harsh carbonate‐based electrolyte. Abstract The practical application of lithium metal batteries (LMBs) in carbonate‐based electrolytes is hindered by uncontrolled lithium (Li)
Qiannan Zhao +5 more
wiley +1 more source
Biomedical Applications of Chitosan-Coated Gallium Iron Oxide Nanoparticles Ga<sub>x</sub>Fe<sub>(3-x)</sub>O<sub>4</sub> with 0 ≤ x ≤ 1 for Magnetic Hyperthermia. [PDF]
Orzechowska M +6 more
europepmc +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Combining exercise and nanoparticle-based therapies: a review of physiological synergies and pharmacological potential. [PDF]
Wang Q, Sun J, Su Z, Xiang L.
europepmc +1 more source

