Results 131 to 140 of about 907,184 (299)

Incorporating Recurrent Networks for Online System Identification Alongside Traditional Sine-Sweep Experiments

open access: yesIEEE Access
The experimental identification of an unknown system, and the blind system identification (BSI) methods, allows engineers to establish mathematical models that represent the real system behavior.
C. A. L. Segura
doaj   +1 more source

Advanced Surface Engineering and Passivation Strategies of Quantum Dots for Breaking Efficiency Barrier of Clean Energy Technologies: A Comprehensive Review

open access: yesAdvanced Functional Materials, EarlyView.
This review describes the different surface engineering strategies for quantum dots that addresses the challenges associated with surface defects, highlighting their role in enhancing the performance of solar energy conversion technologies. Abstract Colloidal quantum dots (QDs) have garnered significant attention for their unique potential in clean ...
Kokilavani S., Gurpreet Singh Selopal
wiley   +1 more source

Iterative Learning Observer-Based Predefined-Time Sliding Mode Control for Continuous Stirred Tank Reactor With Input and Output Constraints

open access: yesIEEE Access
To address the challenge of rapid and precise control in the continuous stirred-tank reactor (CSTR), this paper proposes an iterative learning observer-based predefined-time sliding mode control (SMC) for CSTR with external disturbances and input and ...
Xianghu Zhang   +4 more
doaj   +1 more source

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

Nanoplasmonics Reveal Ionic‐Strength‐Driven Hydration of Nanoparticles

open access: yesAdvanced Functional Materials, EarlyView.
Localized surface plasmon resonance (LSPR) of gold nanoparticles (AuNPs) is modulated by ionic‐strength‐dependent hydration shell compression. A predictive model connects shell thickness to non‐radiative damping and spectral shifts over seven orders of magnitude.
Yeeun Song   +4 more
wiley   +1 more source

Policy interaction, learning and the fiscal theory of prices [PDF]

open access: yes
We investigate both the rational explosive inflation paths studied by McCallum (2001) and the classification of fiscal and monetary policies proposed by Leeper (1991) for stability under learning of rational expectations equilibria (REE).
Evans , George W., Honkapohja, Seppo
core  

Dynamic Control of Synaptic Plasticity by Competing Ferroelectric and Trap‐Assisted Switching in IGZO Transistors with Al2O3/HfO2 Dielectrics

open access: yesAdvanced Functional Materials, EarlyView.
A frequency‐tunable ferroelectric synaptic transistor based on a buried‐gate InGaZnO channel and Al2O3/HfO2 dielectric stack exhibits linear and reversible weight updates using single‐polarity pulses. By switching between ferroelectric and trap‐assisted modes depending on input frequency, the device simplifies neuromorphic circuit design and achieves ...
Ojun Kwon   +8 more
wiley   +1 more source

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

Emerging 2D Materials and Their Hybrid Nanostructures for Label‐Free Optical Biosensing: Recent Progress and Outlook

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights recent advances in label‐free optical biosensors based on 2D materials and rationally designed mixed‐dimensional nanohybrids, emphasizing their synergistic effects and novel functionalities. It also discusses multifunctional sensing platforms and the integration of machine learning for intelligent data analysis.
Xinyi Li, Yonghao Fu, Yuehe Lin, Dan Du
wiley   +1 more source

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