Results 81 to 90 of about 54,191 (216)

Wearable Tailored Passive Radiative Cooling Textile for Flexible Electronic Integration

Advanced Science, EarlyView.
A scalable, additive‐free wearable tailored passive radiative cooling textile (WRCT) with hierarchically structured fibers delivers exceptional thermal management, combining >95% solar reflectance, 0.96 mid‐infrared emissivity, and ultralow thermal conductivity (0.041 W/m·K).
Lung Chow, Jianpeng Zhang, Zehua Peng, Denglin Ye, Binbin Zhang, Jian Li, Wooyoung Park, Chentao Du, Xingcan Huang, Chun Ki Yiu, Yuze Qiu, Jingkun Zhou, Zhenlin Chen, Yuyu Gao, Weibin Zhu, Pengcheng Wu, Guangyao Zhao, Qiang Zhang, Yuan Guo, Zuowei Sun, Zhan Shen, Shuaiqi Ren, Sang Min Won, Jiyu Li, Xinge Yu   +24 more
wiley   +1 more source

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam, Sangwon Cha, Md Farhad Hassan, Wenxin Cai, Tahsin Sejat Saniat, Cedar Rose Leach, Yasser Khan   +6 more
wiley   +1 more source

Comparative aspects in control strategies for hybrid DC-DC converters [PDF]

, 2016
Linear-switching hybrid DC/DC converters consist of a voltage linear regulator (classic NPN or nMOS topologies and LDO) connected in parallel with a switching DC/DC converter.
Cosp Vilella, Jordi, Martínez García, Herminio   +1 more
core   +3 more sources

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Bulk-LDOS Correspondence in Topological Insulators

, 2022
Seeking the criterion for diagnosing topological phases in real materials has been one of the major tasks in topological physics. Currently, bulk-boundary correspondence based on spectral measurements of in gap topological boundary states and the fractional corner anomaly derived from the measurement of the fractional spectral charge are two main ...
Xie, Biye, Huang, Renwen, Jia, Shiyin, Lin, Zemeng, Hu, Junzheng, Jiang, Yao, Ma, Shaojie, Zhan, Peng, Lu, Minghui, Wang, Zhenlin, Chen, Yanfeng, Zhang, Shuang   +11 more
openaire   +2 more sources

Miniaturized Conductometric Biosensor for Rapid Detection of TNF‐α in Saliva

Advanced NanoBiomed Research, EarlyView.
A miniaturized conductometric sensor detects TNF‐α at femtomolar levels with high selectivity. The device enables noninvasive testing using pooled human saliva and supports smartphone‐based, real‐time resistance readings. This portable biosensor offers a practical alternative for monitoring TNF‐α, providing new opportunities for diabetes and related ...
Mingjie Yang, Ying Zhi Cheong, Chenglong Xu, Sanje Mahasivam, Xudong Cai, Vipul Bansal, Sharath Sriram, Ganganath Perera, Madhu Bhaskaran   +8 more
wiley   +1 more source

Catching the Bound States in the Continuum of a Phantom Atom in Graphene

, 2015
We explore theoretically the formation of bound states in the continuum (BICs) in graphene hosting two collinear adatoms situated at different sides of the sheet and at the center of the hexagonal cell, where a phantom atom of a fictitious lattice ...
de Souza, M., Guessi, L. H., Kristinsson, K., Machado, R. S., Marques, Y., Ricco, L. S., Seridonio, A. C., Shelykh, I. A., Yoshida, M.   +8 more
core   +1 more source

STUDY OF FULLY-INTEGRATED LOW-DROPOUT REGULATORS [PDF]

, 2020
Department of Electrical EngineeringThis thesis focuses on the introduction of fully-integrated low-dropout regulators (LDOs). Recently, for the mobile and internet-of-things applications, the level of integration is getting higher.
Bang, Jooeun
core  

Metal‐CO2 Batteries: By‐Product Challenges and Practical Pathways for Low CO2 Concentration Environment

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT Metal‐CO2 batteries have recently emerged as an intriguing class of energy storage and conversion devices that simultaneously utilize and manage carbon dioxide. Originating from studies of CO2 contamination in metal‐air batteries, these systems have evolved into a distinct research direction, offering insights into CO2 electrochemistry and its
Sungmin Choi, Sooyeon Seok, Changmin Kim
wiley   +1 more source

A Transient-Enhanced Capacitorless LDO Design

Journal of Physics: Conference Series
Abstract This paper introduces a capacitor-less low drop-out voltage regulator (LDO) designed for fast transient response. Traditional capacitor-less LDOs often suffer from suboptimal transient responses, leading to unstable outputs during load transitions.
Jinhui Liang, Qiang Zhou, Haichuan Chen
openaire   +1 more source