Results 101 to 110 of about 1,153,224 (274)
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia+9 more
wiley +1 more source
Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting
High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal+5 more
wiley +1 more source
Quantum Emitters in Hexagonal Boron Nitride: Principles, Engineering and Applications
Quantum emitters in hexagonal boron nitride have emerged as a promising candidate for quantum information science. This review examines the fundamentals of these quantum emitters, including their level structures, defect engineering, and their possible chemical structures.
Thi Ngoc Anh Mai+8 more
wiley +1 more source
Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control [PDF]
Decentralized multi-agent control has broad applications, ranging from multi-robot cooperation to distributed sensor networks. In decentralized multi-agent control, systems are complex with unknown or highly uncertain dynamics, where traditional model-based control methods can hardly be applied. Compared with model-based control in control theory, deep
arxiv
A Comparison of the Mechanical Properties of ECM Components and Synthetic Self‐Assembling Peptides
Self‐assembling peptide hydrogels are increasingly utilized in biomedical applications. The authors review the key mechanical properties of these structures across multiple size scales and compare them to that of native extracellular matrix components, which are found to display a much wider range of structural attributes.
Alex Hartley+2 more
wiley +1 more source
This review explores how advanced materials enhance Bio‐FETs for precision healthcare and biosensing. It covers their working principles, surface functionalization, and ultra‐sensitive detection capabilities. The integration of flexible designs, AI, and IoT for real‐time monitoring is discussed, along with challenges like material reproducibility and ...
Minal Pandey+5 more
wiley +1 more source
On the Conditions for Domain Stability for Machine Learning: a Mathematical Approach [PDF]
This work proposes a mathematical approach that (re)defines a property of Machine Learning models named stability and determines sufficient conditions to validate it. Machine Learning models are represented as functions, and the characteristics in scope depend upon the domain of the function, what allows us to adopt topological and metric spaces theory
arxiv
A novel one‐shot integration electropolymerization (OSIEP) method is developed as a breakthrough on the intricate photolithographic steps, enabling to compress all processes from synthesis to channel integration in one‐shot manufacturing. The specially designed dual bipolar electrodes provide the targeted depositions of poly(3,4‐ethylenedioxythiophene)
Jiyun Lee+9 more
wiley +1 more source
An adaptive iterative learning control approach based on disturbance estimation has been developed for trajectory tracking of manipulators with uncertain parameters and external disturbances.
Keping Liu+3 more
doaj +1 more source
Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar+3 more
wiley +1 more source