Results 211 to 220 of about 20,986 (292)

In Situ Electrostatic Charge‐Assisted Wetting for Enhancing Interfacial Strength of Printed Electronics

Advanced Electronic Materials, EarlyView.
This study introduces an in situ electrostatic charge‐assisted wetting method to enhance the interfacial strength of aerosol jet printing. By depositing negative charges on the substrate, the technique improves ink wetting and interfacial properties, achieving up to 85.6% higher interfacial shear strength.
Ao Li, Zhenxiang Xiong, Wenao Ye, Dejin Yan, Xiaoming Chen, Chenglin Yi   +5 more
wiley   +1 more source

Achieving Directional Oil Manipulation by Open Inducing Structure for Electrowetting Displays

Advanced Electronic Materials, EarlyView.
This work introduces an open inducing structure (OIS) fabricated by photoembossing to precisely control oil motion in electrowetting displays (EWDs). The OIS creates local electric field inhomogeneity, guiding directional oil rupture and achieving a 93.8% motion consistency. It significantly lowers the turn‐on voltage and accelerates the response speed,
Qilu Li, Yuxin You, Tinghong Yang, Simin Ma, Wenzhen Chen, Yuhuai Yang, Guofu Zhou, Jiawei Lai, Dong Yuan   +8 more
wiley   +1 more source

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku, Sangbin Park, Sunha Hwang, Sunghyun Lim, Won‐Sub Yoon, Jongsoon Kim   +5 more
wiley   +1 more source

Light Stability of Laser‐Assisted Glass Encapsulated Perovskite Solar Cells under Different Atmospheres

Advanced Energy Materials, EarlyView.
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira, Jorge Martins, Rúben Madureira, Dzmitry Ivanou, Seyedali Emami, Adélio Mendes   +5 more
wiley   +1 more source

Effect of hemostatic agent on microshear bond strength of total-etch and self-etch adhesive systems.

Dent Res J (Isfahan), 2019
Hoorizad M, Heshmat H, Hosseini TA, Kazemi SS, Tabatabaei SF.   +4 more
europepmc   +1 more source

A Solution for Exosome‐Based Analysis: Surface‐Enhanced Raman Spectroscopy and Artificial Intelligence

Advanced Intelligent Discovery, EarlyView.
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz, Zakarya Al‐Shaebi, Omer Aydin   +2 more
wiley   +1 more source

A Machine Learning Perspective on the Brønsted–Evans–Polanyi Relation in Water‐Gas Shift Catalysis on MXenes

Advanced Intelligent Discovery, EarlyView.
Machine learning predicts activation energies for key steps in the water‐gas shift reaction on 92 MXenes. Random Forest is identified as the most accurate model. Reaction energy and reactant LogP emerge as key descriptors. The approach provides a predictive framework for catalyst design, grounded in density functional theory data and validated through ...
Kais Iben Nassar, Tiago L. P. Galvão, José D. Gouveia, José R. B. Gomes   +3 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Shear bond strength and SEM morphology evaluation of different dental adhesives to enamel prepared with ER:YAG laser [PDF]

, 2013
Azevedo, Álvaro, João Cardoso Ferreira, Melo P.R., Patrícia T. Pires.   +3 more
core   +1 more source

Scalable High‐Force Zipping Electrostatic Actuators

Advanced Intelligent Systems, EarlyView.
An electrostatic actuator architecture is presented that combines high energy density with forces and strokes suited for wearable soft robotics. By folding patterned thin films into a scalable honeycomb of zipping units, performance becomes tunable through series–parallel design, achieving over 40 N and 28 J/kg.
Fabio Caruso, Amir Firouzeh, Herbert Shea   +2 more
wiley   +1 more source