Results 191 to 200 of about 144,133 (245)

Influence of the Substrate Temperature on the Growth Mechanism of Allylamine Plasma Polymer Films

Advanced Materials Interfaces, EarlyView.
The influence of the substrate temperature on the growth mechanism of allylamine plasma polymers is investigated by correlating the plasma chemistry and the physico‐chemical properties of the coatings. New insights about the mechanistic formation of functionalized plasma polymers at a molecular level are provided, paving the way toward a better ...
Robin Dantinne, Nathan Vinx, Philippe Leclère, Damien Cossement, Claude Poleunis, Arnaud Delcorte, Damien Thiry   +6 more
wiley   +1 more source

Optical Detection and Modeling of Lithium Deposition on Copper Current Collectors

Advanced Materials Interfaces, EarlyView.
ABSTRACT Understanding lithium (Li) deposition on copper (Cu) substrates is essential for improving the performance and lifetime of zero–excess lithium metal batteries. In this study, Li deposition was investigated under realistic coin–cell conditions using complementary scanning electron microscopy and laser scanning microscopy. A semi–automatic image
Tjark T. K. Ingber, Len Kimms, Martin Winter, Andreas Heuer, Diddo Diddens   +4 more
wiley   +1 more source

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC‐STM of Adsorbate–Substrate Superstructures

Advanced Materials Interfaces, EarlyView.
Although electrochemical scanning tunneling microscopy provides atomic‐scale access to electrified interfaces, quantitative in situ and operando investigations suffer from drift‐induced distortions. This work introduces the Lattice Fourier Analyzer (LFA), which employs substrate‐anchored affine drift correction in reciprocal space to recover precise ...
Rafał Lewandków, Paulina Wira, Anna Futyma, Radosław Wasielewski, Tomasz Kosmala   +4 more
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

Advanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue, Yuan Gao, Fanping Sui, Jason Wang, Megan Teng, Peggy Tsao, Huicong Deng, Yande Peng, Liwei Lin   +8 more
wiley   +1 more source

Gold Nanorods in Cardiac Millitissues: Assessing Mechanical and Contractile Dynamics in a Living Engineering Myocardium Model

Advanced Materials Technologies, EarlyView.
This study presents a novel platform for assessing the active mechanical behavior of living cardiac microbundles through localized nanoindentation, integrated with temperature regulation and dual‐camera imaging systems. The developed system enables quantitative evaluation of dynamic micromechanics in engineered cardiac tissues in vitro, offering ...
Lihua Lou, Lia Paolino, Alberto Sesena Rubfiaro, Jin He, Arvind Agarwal   +4 more
wiley   +1 more source

Ductility Tuning via Cluster Network Characteristics of Porous Components

Advanced Materials Technologies, EarlyView.
Network optimization via cluster characteristics induced by interaction of stress concentration is proposed, demonstrating increased cluster size and dispersion in non‐uniform porous components. The optimized structures exhibit, for the first time, that enhanced ductility and damage progression is controllable through zigzag cluster network designed by
Ryota Toyoba, Yuichi Otsuka, Ian J Davies, Naritoshi Aoyagi, Yukio Miyashita   +4 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

Advanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding, Danny E. P. Vanpoucke, Yunus T. Aksoy, Tobias Corthouts, Maria R. Vetrano, Wim Deferme   +5 more
wiley   +1 more source

Chemically Doped Conductive Polymers for Wearable Health Monitoring

Advanced Materials Technologies, EarlyView.
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo, Jian Song, Hong Hu, Le Zheng, Lei Zhang, Charles H. Lawrie   +5 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source