Results 111 to 120 of about 600,818 (315)
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
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park +3 more
wiley +1 more source
Weakly unconditionally convergent series in M-ideals.
The main result of this article is a structure theorem on separable complex Banach spaces E such that K(E) is an M-ideal in L(E). It is shown that if such a space has the approximation property, then it is isomorphic to an complemented subspace of a space with a shrinking unconditional finite dimensional decomposition.
Godefroy, Gilles, Saab, Paulette
openaire +3 more sources
Predicting Atomic Charges in MOFs by Topological Charge Equilibration
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi +2 more
wiley +1 more source
Ferroelectricity in Antiferromagnetic Wurtzite Nitrides
We establish MnSiN2${\rm MnSiN}_2$ and MnGeN2${\rm MnGeN}_2$ as aristotypes of a new multiferroic wurtzite family that simultaneously exhibits ferroelectricity and antiferromagnetism with altermagnetic spin splitting. By strategically substituting alkaline‐earth metals, we predict new materials with coexisting switchable polarization, spin texture, and
Steven M. Baksa +3 more
wiley +1 more source
In this paper, using an infinite matrix of complex numbers, a modulus function and a lacunary sequence, we generalize the concept of I -statistical ...
Ömer Kişi +2 more
doaj +1 more source
Ideal convergence and Ideal Dunford integration on Banach space.
In this paper, we propose on type of Dunford integration in the concept of ideal convergenceThis wants to construct a new convergence of functions in Banach space to definite the measurablefunctions. The main result is construction on the type of Dunford as the Ideal integral.
openaire +1 more source
Bioinspired Stabilization of Fluorescent Au@SiO2 Tracers for Multimodal Biological Imaging
This study demonstrates a bioinspired stabilization strategy for fluorescent gold‐silica nanoparticles. Inspired by natural biosilica maturation, high‐temperature calcination transforms the silica shells, preventing dissolution in cell culture media and intracellular environments.
Wang Sik Lee +5 more
wiley +1 more source
Statistical convergence has several applications in different fields of Mathematics: Number theory, trigonometric series, summability theory, probability theory, measure theory, optimization and approximation theory. The notion of ideal convergence corresponds to a generalization of the statistical convergence. In this paper, we define the ?^{m}(c_{I})
Gümüş, Hafize Gök, Nuray, Fatih
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2D Magnetic and Topological Quantum Materials and Devices for Ultralow Power Spintronics
2D magnets and topological quantum materials enable ultralow‐power spintronics by combining robust magnetic order with symmetry‐protected, Berry‐curvature‐driven transport. Fundamentals of 2D anisotropy and spin‐orbit‐coupling induced band inversion are linked to scalable growth and vdW stacking.
Brahmdutta Dixit +5 more
wiley +1 more source

