Results 131 to 140 of about 1,317,187 (329)

Locking Metastable Topological Domains in Nematic Liquid Crystal Pi Cells

open access: yesAdvanced Functional Materials, EarlyView.
Selective photopolymerization in the presence of a controlled voltage defines permanent director walls that lock‐in metastable bend and twist configurations within nematic liquid crystal Pi cells. Q‐tensor simulations corroborate the experiments, demonstrating the topological state stabilization.
Adithya Pradeep   +7 more
wiley   +1 more source

VERIFYING AND FALSYFING OF SCIENTIFIC THEORIES [PDF]

open access: yesHum, 2008
Logical positivists plead for the application of verifying criteria in science as principles which justify the statements of science and give sense to scientific notions and statements.
Antonio Poljak
doaj  

Education today: 12 + 5 < 4 - lessons of education reforms in Portugal and beyond [PDF]

open access: yes, 2017
Since the adoption of the ‘Lei de Bases…’ of 1984, the quality of education in Portugal is declining, undermined by ‘critical, creative and independent thinking’, implemented by neglecting memorization as a learning tool, as supposedly students should ...
Fonseca, Custódia   +2 more
core  

An Ultra‐Robust Memristor Based on Vertically Aligned Nanocomposite with Highly Defective Vertical Channels for Neuromorphic Computing

open access: yesAdvanced 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

Report on argumentation and teacher education in Europe [PDF]

open access: yes, 2010
This document will ultimately form part of a comprehensive package of materials for teacher education and professional development in argumentation.
Blake, Allan   +3 more
core  

Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth

open access: yesAdvanced 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

A nodes model for creativity in mathematics education

open access: yes, 2009
This paper sets outs a proposition for a model of understanding creativity in the mathematics classroom. It aims to show that creativity in mathematics can be conceptualised as the mental processes involved in ‘meaning making’ in the mathematics ...
Clack, James
core  

Kriesel and Wittgenstein [PDF]

open access: yes, 2019
Georg Kreisel (15 September 1923 - 1 March 2015) was a formidable mathematical logician during a formative period when the subject was becoming a sophisticated field at the crossing of mathematics and logic.
Kanamori, Akihiro
core  

Amorphous High Entropy Alloy Nanosheets Enabling Robust Li–S Batteries

open access: yesAdvanced 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

open access: yesAdvanced 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

Home - About - Disclaimer - Privacy