Results 251 to 260 of about 2,041,828 (274)

Analysis of dermoscopy images of multi-class for early detection of skin lesions by hybrid systems based on integrating features of CNN models. [PDF]

PLoS One
Alshahrani M, Al-Jabbar M, Senan EM, Ahmed IA, Mohammed Saif JA.   +4 more
europepmc   +1 more source

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

Manipulating chiral photon generation from plasmonic nanocavity-emitter hybrid systems: from weak to strong coupling. [PDF]

Nanophotonics
Yang J, Hu H, Zhang Q, Zu S, Chen W, Xu H.   +5 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

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

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

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

Using In Situ TEM to Understand the Surfaces of Electrocatalysts at Reaction Conditions: Single‐Atoms to Nanoparticles

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in closed‐cell in situ TEM strategies for accurate determination of the activity and stability of single‐atom catalyst systems during operation. Operando conditions causing dynamic changes of SAC systems are highlighted and we explain why ensemble average‐based optical techniques may benefit from the technological
Martin Ek, Soshan Cheong, Julie Cairney, Richard D. Tilley, Ingemar Persson   +4 more
wiley   +1 more source