Results 51 to 60 of about 23,785,135 (371)

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

Advancing brain tumor diagnosis: Deep siamese convolutional neural network as a superior model for MRI classification

Brain-X
The timely detection and precise classification of brain tumors using techniques such as magnetic resonance imaging (MRI) are imperative for optimizing treatment strategies and improving patient outcomes.
Gowtham Murugesan, Pavithra Nagendran, Jeyakumar Natarajan   +2 more
doaj   +1 more source

Recent Advancements in Bulk Processing of Rare‐Earth‐Free Hard Magnetic Materials and Related Multiscale Simulations

Advanced Engineering Materials, EarlyView.
This article provides an overview of recent advancements in bulk processing of rare‐earth‐free hard magnetic materials. It also addresses related simulation approaches at different scales. The research on rare‐earth‐free magnetic materials has increased significantly in recent years, driven by supply chain issues, environmental and social concerns, and
Daniel Scheiber, Andrea Bachmaier
wiley   +1 more source

Incremental Road Network Update Method with Trajectory Data and UAV Remote Sensing Imagery

ISPRS International Journal of Geo-Information, 2022
GPS trajectory and remote sensing data are crucial for updating urban road networks because they contain critical spatial and temporal information.
Jianxin Qin, Wenjie Yang, Tao Wu, Bin He, Longgang Xiang   +4 more
doaj   +1 more source

Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data [PDF]

, 2009
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the ...
Ise, Masayuki, Konishi, Osamu, Minegishi, Tatsuya, Niimi, Ayahiko   +3 more
core  

High‐Entropy Alloy Design Toward Cobalt Substitution for High Hardness and Low Wear Rate Using X–Cr–Fe–Mn–Ni System

Advanced Engineering Materials, EarlyView.
This study explores the replacement of cobalt using the high‐entropy alloy design strategy for wear‐resistant components operating at high temperatures. Starting from the Cantor alloy, cobalt is substituted with Cu, Al, V, or Mo. Metallurgical and tribological analyses reveal that aluminum, vanadium, and molybdenum effectively strengthen the developed ...
Rafaël Jénot, Laurent Peltier, Fodil Meraghni, Mathieu Marquer, Oriane Baulin, Clotilde Macke‐Bart   +5 more
wiley   +1 more source

Ultrahigh Piezoelectricity in Truss‐Based Ferroelectric Ceramics Metamaterials

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
By leveraging the unique combination of polarization direction and loading state, ultrahigh piezoelectricity is achieved through careful tuning of the relative density and scaling ratio in truss‐based ferroelectric metamaterials. This approach enables the simultaneous realization of extremely high piezoelectric constants and ultralow dielectric ...
Jiahao Shi, Kang Ju, Haoyu Chen, Valérie Orsat, Agus P. Sasmito, Ali Ahmadi, Abdolhamid Akbarzadeh   +6 more
wiley   +1 more source

A Bayesian network approach to the study of historical epidemiological databases: modelling meningitis outbreaks in the Niger

Bulletin of the World Health Organization, 2012
OBJECTIVE: To develop a tool for evaluating the risk that an outbreak of meningitis will occur in a particular district of the Niger after outbreaks have been reported in other, specified districts of the country.
A Beresniak, E Bertherat, W Perea, G Soga, R Souley, D Dupont, S Hugonnet   +6 more
doaj   +1 more source

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

Driving Stress Detection Using Multimodal Convolutional Neural Networks with Nonlinear Representation of Short-Term Physiological Signals

Sensors, 2021
Mental stress can lead to traffic accidents by reducing a driver’s concentration or increasing fatigue while driving. In recent years, demand for methods to detect drivers’ stress in advance to prevent dangerous situations increased.
Jaewon Lee, Hyeonjeong Lee, Miyoung Shin
doaj   +1 more source