Results 151 to 160 of about 4,922,109 (351)
Dual-band topological Bott insulators in Ammann–Beenker-tiling square photonic quasicrystals
JPhys PhotonicsIn this work, we study topological states in Ammann–Beenker-tiling photonic quasicrystals made of magneto-optical materials. While conventional topological states in photonic systems with crystalline symmetry are characterized by topological invariants ...
Yingfang Zhang +3 more
doaj +1 more source
2D Borophene: In‐Plane Hyperbolic Polaritons in the Visible Spectral Range
Advanced Functional Materials, EarlyView.Researchers have synthesized the χ3 phase of borophene, a 2D metal, using chemical vapor deposition. Combining theory and deep‐subwavelength spectroscopy, they uncover borophene's unique anisotropic optical behavior in the visible range. This breakthrough paves the way for advanced optoelectronic devices using borophene‐based heterostructures ...
Yaser Abdi +5 more
wiley +1 more source
Finite topological spaces [PDF]
Transactions of the American Mathematical Society, 1966 openaire +1 more source
Directed bases with net convergence [PDF]
Surveys in Mathematics and its ApplicationsThe concept of a basis having a sequence of elements in a topological vector space is extended to a concept of a directed basis having a net of elements in a topological vector space.
AR. Murugan +2 more
doaj
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
The topological degree for noncompact nonlinear mappings in Banach spaces [PDF]
, 1968 Felix E. Browder, Roger D. Nussbaum
openalex +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
Metrizability of topological spaces [PDF]
Pacific Journal of Mathematics, 1974 openaire +3 more sources