Results 221 to 230 of about 493,705 (320)

Bedtime regularization as a potential adjunct therapy for hypertension: a proof-of-concept study. [PDF]

open access: yesSleep Adv
Thosar SS   +10 more
europepmc   +1 more source

Projection regularization algorithm for solving linear algebraic system of large dimension

open access: green, 2010
Alexander Ivanovich Zhdanov   +1 more
openalex   +1 more source

Enhancing Electrical Impedance Based Deformation Sensing with Dielectric Current Guide

open access: yesAdvanced Electronic Materials, EarlyView.
This work introduces a dielectric‐based field manipulation strategy for electrical impedance tomography in soft robotics. By using silicone as a passive electric field guide, improved deformation sensing accuracy and reduced interference are achieved without embedding conductive components.
Arsen Abdulali   +3 more
wiley   +1 more source

Physics‐Informed Deep Learning Method for Real‐Time Multi‐Harmonic Beamforming Based on Space‐Time‐Coding Metasurface

open access: yesAdvanced Electronic Materials, EarlyView.
This work proposed an unsupervised physics‐informed deep learning method of generating space‐time‐coding metasurface coding patterns for arbitrary single‐ and dual‐beam requirements at each harmonic. This method is specially designed for the coding pattern design task of multi‐bit scenario, and it can effectively handle the optimization trouble caused ...
Jiang Han Bao   +6 more
wiley   +1 more source

Electrode‐Engineered Dual‐Mode Multifunctional Lead‐Free Perovskite Optoelectronic Memristors for Neuromorphic Computing

open access: yesAdvanced Electronic Materials, EarlyView.
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos   +4 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

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