Results 51 to 60 of about 26,692 (251)
Gendered study choice: a literature review. A review of theory and research into the unequal representation of male and female students in mathematics, science, and technology [PDF]
, 2013 Demet Yazilitas +3 more
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Advanced Functional Materials, EarlyView.Sustainable films with heterosymmetric structures, harmoniously integrating symmetry and asymmetry, are fabricated using cellulose nanocrystals and hydrophilic nanolignin via evaporation‐induced self‐assembly, which exhibit excellent multiple polarization optical properties.
Qun Song +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.An ultra‐robust memristor based on SrTiO3‐CeO2 (S‐C) vertically aligned nanocomposite (VAN) achieving exceptional endurance of 1012 switching cycles via interface engineering. Artificial neural networks (ANNs) integrated with S‐C VAN memristors exhibit high training accuracy across multiple datasets.
Zedong Hu +12 more
wiley +1 more source
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
Advanced Functional Materials, EarlyView.This article provides a comprehensive overview of metamaterials, including their fundamental principles, properties, synthesis techniques, and applications in stealth, as well as their challenges and future prospects. It covers topics that are more advanced than those typically discussed in existing review articles, while still being closely connected ...
Jonathan Tersur Orasugh +4 more
wiley +1 more source
Amorphous High Entropy Alloy Nanosheets Enabling Robust Li–S Batteries
Advanced Functional Materials, EarlyView.Amorphous ultrathin FeCoNiMoW high entropy alloy nanosheets are incorporated into the polypropylene separator of lithium‐sulfur batteries, enhancing their capacity, rate performance, and cycling stability. Abstract High‐entropy alloys (HEAs) show great potential for catalyzing complex multi‐step reactions, but optimizing their parameters, i.e ...
Ren He +20 more
wiley +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
Advanced Functional Materials, EarlyView.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
Advanced Functional Materials, EarlyView.Thermally crosslinked poly(2‐vinylpyridine)‐based anion conducting polyelectrolytes have been synthesized. The segmental dynamics of these polyelectrolytes have been systematically modified by varying the degree of crosslinking. Both the experimental and simulation results indicate that segmental dynamics have a limited influence on ion transport in ...
Zhongyang Wang +11 more
wiley +1 more source
Reconfigurable 3D Magnetic Nanoarchitectures
Advanced Functional Materials, EarlyView.This experimental study confirms that 3D magnetic tetrapods grown by focused electron beam‐induced deposition exhibit sequential, controllable magnetization reversal in the individual nanowire legs. The magnetic state of the nanoarchitecture can be controlled individually, on‐demand, through a variation of the direction and magnitude of the applied ...
Sabri Koraltan +8 more
wiley +1 more source
Symbols and quantities in parietal cortex: elements of a mathematical theory of number representation and manipulation [PDF]
, 1993 Stanislas Dehaene
openalex +1 more source