Results 91 to 100 of about 22,603 (282)
Innovative fabrication methods are crucial for developing next‐generation supercapacitors. These techniques optimize electrode structures, boosting energy and power density while enabling scalable production. By overcoming current limitations, advanced fabrication unlocks supercapacitors' potential as efficient, reliable energy storage for diverse ...
Nikita A. Wadodkar +8 more
wiley +1 more source
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
The growth of billions of devices functioning in resource-constrained situations in the Internet of Things (IoT) era poses serious security issues.
Nahom Gebeyehu Zinabu +3 more
doaj +1 more source
Enhancing the Ultrasonic Welding of Wood Using 3D Printed Lignin Energy Directors
Sustainable manufacturing for lightweight structures using ecofriendly materials will be key to reducing material consumption and lowering carbon footprints. Here, an approach is presented to weld wood using ultrasonic vibrations with material at the joint interface to direct energy.
Muhamad Amani +6 more
wiley +1 more source
This study introduces a miniaturized wireless neural recording system integrated with custom‐designed 120‐channel µECoG arrays, engineered for monitoring brain activities in freely behaving marmosets. The system can capture and characterize behavior‐specific neural signals, including drinking‐related activation, pre‐vocalization anticipatory responses,
Hongru Liu +22 more
wiley +1 more source
SETComp, a transfer learning model based on permutation‐invariance, is pre‐trained on single‐compound intervention data and fine‐tuned on complex system (e.g., natural products) data. The model achieves up to 93.86% accuracy on complex system‐cell‐gene association predictions, outperforming the baseline by up to 27.59%.
Boyang Wang +4 more
wiley +1 more source
Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi +4 more
wiley +1 more source
RiboMicrobe: An Integrated Translatome Atlas for Microorganism
RiboMicrobe is a comprehensive database for Ribo‐seq data from prokaryotes, featuring 891 Ribo‐seq, 369 RNA‐seq, and 62 proteome datasets from 38 species. The database not only provides various data visualization results but also includes two sORF prediction models and a suit of bioinformatics tools for comparative analysis, facilitating easy access ...
Yingshun Zhou +12 more
wiley +1 more source
A quantitative security analysis of S-boxes in the NIST lightweight cryptography finalists
Lightweight cryptography was primarily inspired by the design criteria of symmetric cryptography. It plays a vital role in ensuring the security, privacy, and reliability of microelectronic devices without compromising the overall functionality and ...
Mahnoor Naseer +6 more
doaj +1 more source
FPGA Implementation of Some Second Round NIST Lightweight Cryptography Candidates [PDF]
Brisbane Ovilla-Martínez +3 more
openalex +1 more source

