Results 251 to 260 of about 24,438,166 (339)

Tailoring Coherent Microwave Emission from a Solid-State Hybrid System for Room-Temperature Microwave Quantum Electronics. [PDF]

Adv Sci (Weinh)
Wang K, Wu H, Zhang B, Yao X, Zhang J, Oxborrow M, Zhao Q.   +6 more
europepmc   +1 more source

BESS based Multi input inverter for Grid connected hybrid pv and wind power system

, 2016
Seshadri Pithani
openalex   +1 more source

Indirect stabilization of weakly coupled systems with hybrid boundary conditions

, 2011
Fatiha Alabau‐Boussouira, Piermarco Cannarsa, Roberto Guglielmi, Roberto Guglielmi   +3 more
openalex   +2 more sources

Enhanced Mechanical and Electrochemical Properties of Carbon Nanotube Fibers via Embedded Sucrose‐Derived Porous Carbon for Mechanoelectrochemical Energy Harvesting

Advanced Functional Materials, EarlyView.
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac, Dong Yeop Lee, Gyu Hyeon Song, Ji Hwan Moon, Jae Myeong Lee, Hyeon Jun Sim, Junki Bang, Youngjin Jeong, Changsoon Choi, Seon Jeong Kim   +9 more
wiley   +1 more source

COVID-19 patient satisfaction and associated factors in telemedicine and hybrid system. [PDF]

Front Public Health
Gashaw DG, Alemu ZA, Constanzo F, Belay FT, Tadesse YW, Muñoz C, Rojas JP, Alvarado-Livacic C.   +7 more
europepmc   +1 more source

Device Integration Technology for Practical Flexible Electronics Systems

Advanced Functional Materials, EarlyView.
Flexible device integration technologies are essential for realizing practical flexible electronic systems. In this review paper, wiring and bonding techniques critical for the industrial‐scale manufacturing of wearable devices are emphasized based on flexible electronics.
Masahito Takakuwa, Kento Yamagishi, Sunghoon Lee, Yusaku Tagawa, Takao Someya, Tomoyuki Yokota   +5 more
wiley   +1 more source

A Self-Assembled MOF-Escherichia Coli Hybrid System for Light-Driven Fuels and Valuable Chemicals Synthesis. [PDF]

Adv Sci (Weinh)
Li J, Shen J, Hou T, Tang H, Zeng C, Xiao K, Hou Y, Wang B.   +7 more
europepmc   +1 more source

Hybrid System

Journal of the Society of Mechanical Engineers, 1992
openaire   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Data-Monitoring Solution for Desalination Processes: Cooling Tower and Mechanical Vapor Compression Hybrid System. [PDF]

Sensors (Basel)
Hernández-Baño P, Molina-García A, Vera-García F.   +2 more
europepmc   +1 more source