Results 101 to 110 of about 234 (196)

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

Multi-document Update-summarization

, 2018
Cette thèse s’intéresse au Résumé Automatique de texte et plus particulièrement au résumémis-à-jour. Cette problématique de recherche vise à produire un résumé différentiel d'un ensemble denouveaux documents par rapport à un ensemble de documents supposés connus.
openaire   +1 more source

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

Durable Physically Mixed Microporous and Mesoporous MOFs/Nanofiber Aerogel 3D Composites for Effective Toxic Gas Capture and Organophosphonate Detoxification

Advanced Functional Materials, EarlyView.
Ultralight 3D nanofibrous aerogels embedded with metal‐organic frameworks effectively capture and neutralize toxic gases and organophosphonates. Incorporating mesoporous UiO‐66‐NH2 and HKUST‐1 into PAN/PVP fibers enables high MOF loading while maintaining mechanical strength and structural stability.
Mai O. Abdelmigeed, Muhammed Ziauddin Ahmad Ebrahim, John J. Mahle, Brandon B. Blount, Gregory W. Peterson, Saad A. Khan, Gregory N. Parsons   +6 more
wiley   +1 more source

Dual‐Phased Molybdenum Carbides Confined in MOF‐Derived Carbon Nanoframes Enhance Capacitive Desalination

Advanced Functional Materials, EarlyView.
Dual‐phase MoC/Mo2C/CoNC nanoframes are synthesized via a MOF‐on‐MOF strategy, demonstrating a large salt adsorption capacity, a low energy consumption, and an excellent cycling stability. In situ/ex situ characterizations and DFT calculations reveal that the MoC/Mo2C dual phase transition facilitates Na+ adsorption/desorption, while interface‐induced ...
Feifei Pang, Bohan Liu, Jingyu Wu, Qian Yang, Zhichang Xiao, Ningzhao Shang, Xiaoxian Zhao, Yusuke Yamauchi, Shuaihua Zhang   +8 more
wiley   +1 more source

4D Mapping of ZIF Biocomposites for High Protein Loading and Tunable Release Profiles

Advanced Functional Materials, EarlyView.
Systematic four‐dimensional mapping of zeolitic imidazolate framework biocomposites reveals how precursor ratios, total concentration, and washing define crystalline phase, protein loading, and release kinetics. This comprehensive study identifies conditions yielding record loading (∼85%) and precise phase–property correlations.
Michael R. Hafner, Francesco Carraro, Behnaz Abbasgholi‐NA, Simone Dal Zilio, Max Schmallegger, Helmar Wiltsche, Lingcong Ge, Michael R. Reithofer, Efwita Astria, Laura Villanova, Heinz Amenitsch, Christian Doonan, Paolo Falcaro   +12 more
wiley   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

PEGASUS-XL with saliency-guided scoring and long-input encoding for multi-document abstractive summarization

Scientific Reports
With the exponential growth of digital content, Multi-Document Summarization (MDS) has become increasingly critical for synthesizing dispersed information into coherent and contextually relevant summaries.
Rawan Alsultan, Alaa Sagheer, Hala Hamdoun, Lamya Alshamlan, Latifah Alfadhli   +4 more
doaj   +1 more source

A Hybrid Transformer-Based Framework for Multi-Document Summarization of Turkish Legal Documents

IEEE Access
The rapid growth in the volume and complexity of legal documents has created an urgent need for automated tools to help legal professionals efficiently extract and summarize critical information.
Maha Ahmed Abdullah Albayati, Oguz Findik   +1 more
doaj   +1 more source

Laser‐Induced Microfabrication of Carbon Nanostructure: Processing Mechanism and Application for Next‐Generation Battery Technology

Advanced Functional Materials, EarlyView.
The article reviews laser‐processed carbons from various precursors, processing mechanism and their application in advanced batteries. The laser process is chemical free, fast, and scalable, enabling improved battery performance and stability for Li, Na, and Zn battery technologies.
Sujit Deshmukh, Shaista Nouseen, Martin Pumera   +2 more
wiley   +1 more source