Results 71 to 80 of about 11,064 (217)
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Accurate and rapid detection of potato surface defects is crucial for advancing intelligent potato sorting. To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for
Haitao Wu +5 more
doaj +1 more source
Radiative Thermal Management for Extreme Environments: Mechanisms and Design Strategies
In this review, we discuss the fundamental mechanisms of radiative cooling and solar heating, material and structural design strategies, hybrid approaches integrating additional heat transfer pathways, and durability‐oriented designs addressing environmental stresses.
Hyung Rae Kim +5 more
wiley +1 more source
To address functionality limitations in plant‐based and industrially compostable polymer aerogels, this work introduces bio‐inspired aerogels with broadened functionality. Inspired by functional plant tissues, lightweight biopolymer aerogels based on exclusively stereocomplex crystals are fabricated, featuring hierarchically macro‐/meso‐porous ...
Anthony V. Tuccitto +10 more
wiley +1 more source
A lightweight network for brain MRI segmentation
Abstract Brain MRI segmentation plays a crucial role in medical imaging, aiding in the identification and monitoring of brain diseases. This research presents a novel deep learning-based framework designed to achieve high segmentation accuracy while maintaining a lightweight architecture suitable for real-world deployment. The proposed method
Chatterjee, Pubali +2 more
openaire +2 more sources
Directional Confinement Governed Ion Transport for Efficient Actuation
Structural anisotropy provides an effective means to regulate ion transport in polymer electrolytes. Directionally aligned channels formed by freeze‐drying provide continuous pathways for ion migration, enhancing ion mobility and simultaneously improving the strain and blocking force of ionic actuators.
Yufei Zhang +8 more
wiley +1 more source
Advances in Bio‐Integrated Edge Computing Systems for Smart and Connected Health
This review explores advances in bio‐integrated edge computing for healthcare, focusing on co‐designing computing, sensing, and energy strategies to overcome integration and power challenges for optimized, decentralized operation. ABSTRACT Recent advances in bio‐integrated healthcare technologies have enabled continuous, high‐resolution monitoring and ...
Gyuwon Kim +4 more
wiley +1 more source
A Lightweight Remote Sensing Aircraft Object Detection Network Based on Improved YOLOv5n
Due to the issues of remote sensing object detection algorithms based on deep learning, such as a high number of network parameters, large model size, and high computational requirements, it is challenging to deploy them on small mobile devices.
Jiale Wang +3 more
doaj +1 more source
A Control Architecture for Lightweight Virtual Networks [PDF]
As an IP network is supportable over multiple different layer 2 networks, so a virtual network is supportable over multiple different resource allocation mechanisms. This fact is obscured in the literature as the goal -- the privileging of certain user traffic by segregating it from other traffic -- is tightly bound with the means of achieving it -- e ...
openaire +1 more source

