Results 161 to 170 of about 267,177 (347)

Self‐Adhesive Conductive Elastomers for Gel‐Free Biopotential Recording

open access: yesAdvanced Electronic Materials, EarlyView.
σPOMaC, a self‐adhesive conductive citrate elastomer incorporating PEDOT:PSS and DBSA, enables gel‐free biopotential electrodes with stable conductivity and intrinsic skin adhesion. The composite exhibits low resistivity (∼ 0.02 Ω·cm), robust electrical performance during repeated use, and reliable on‐body ECG acquisition comparable to Ag/AgCl ...
Kirstie M. K. Queener   +7 more
wiley   +1 more source

Reform and Extension of Substations of Liuzhuang Coal Mine and Lightning Protection of Its Overhead Distribution Lines

open access: yesGong-kuang zidonghua, 2012
In order to prevent trip and damage of 110 kV power supply line caused by thunder and meanwhile satisfy demand of production increase, reform and extension design of ring network of 110 kV substation of Liuzhuang Coal Mine was done, lightning protection ...
WANG Xiu-hong
doaj  

Material Strategies for Stimulation and Recording in Neural Biocomputing Platforms

open access: yesAdvanced Electronic Materials, EarlyView.
Material strategies enabling stimulation and recording are central to neural biocomputing systems. This review examines how electronic materials govern the encoding of inputs and decoding of outputs in living neural networks. Advances in electrical, optical, and multimodal interfaces highlight emerging design principles for biocomputing platforms ...
Sehong Kang   +5 more
wiley   +1 more source

Exploiting Temperature Effects for Robust Control and Reference Circuits Using Thin‐Film Contact‐Controlled Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Compact circuits based on contact‐controlled transistors are well‐suited to unsupervised thermal management, sensitive temperature measurement, or temperature‐stable current references. Demonstrated on flexible microcrystalline silicon and supported by simulation, the approach does not require supply voltage regulation, remains manufacturable across ...
Eva Bestelink   +6 more
wiley   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

The Biofuels Blueprint: Understanding the U.S. Renewable Fuel Standard

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT We provide a comprehensive review of the U.S. Renewable Fuel Standard (RFS), synthesizing nearly two decades of program evolution, market outcomes, and economic analysis. The RFS mandates minimum volumes of renewable fuel blending through a nested structure based on life‐cycle greenhouse gas reductions, enforced via tradeable Renewable ...
Maria Gerveni   +3 more
wiley   +1 more source

From continuous to interruptible distillation: Flexible electric heating column architecture with fast start‐up

open access: yesAIChE Journal, EarlyView.
Abstract Electrification of distillation offers a promising route to reducing scope‐1 emissions from one of the chemical industry's most energy‐intensive unit operations. However, conventional adiabatic columns are dynamically inflexible: Long, energy‐intensive start‐ups make shutdown and restart impractical under variable electricity prices and ...
Samuel Mercer, Michael Baldea
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

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