Results 171 to 180 of about 3,003,826 (371)
Design and Applications of Multi‐Frequency Programmable Metamaterials for Adaptive Stealth
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 structured multilayer catalyst is fabricated by combining RF magnetron sputtering and picosecond laser scribing to expose Cu–ZnO interfaces. This model catalyst, developed as a proof of concept, enables precise interface accessibility for CO2 hydrogenation to methanol.
Shivam Shivam+9 more
wiley +1 more source
This research introduces a cold plasma‐based platform for treating breast cancer bone metastases. Using a novel bioprinted 3D tumor‐stroma model, it highlights the selective antitumor effects of plasma‐generated reactive species. The platform aims to advance non‐invasive therapeutic strategies, offering potential clinical applications in controlling ...
Laura M. Bouret+4 more
wiley +1 more source
Stability Properties of Nonlinear Delay Systems and the Breakdown of the Adiabatic Approximation [PDF]
B. J. Hawdon+2 more
openalex +1 more source
On the approximation of nonlinear oscillations
openaire +2 more sources
Manipulating Ferroelectric Topological Polar Structures with Twisted Light
We demonstrate dynamic control of ferroelectric order in quasi‐2D CsBiNb2O7 using twisted ultraviolet light carrying orbital angular momentum. Our approach harnesses non‐resonant multiphoton absorption and induced strain to modulate topological of ferroelectric polarization textures.
Nimish P. Nazirkar+10 more
wiley +1 more source
Machine‐Learning‐Aided Advanced Electrochemical Biosensors
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan+9 more
wiley +1 more source
A dual algorithm for the solution of nonlinear variational problems via finite element approximation
D. Gabay, B. Mercier
semanticscholar +1 more source