Results 181 to 190 of about 31,823 (308)

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Unusual Thermally Induced Blueshift and Emission Amplification of Mn2+ Ions Enable Filter‐Free Luminescent Thermal Imaging

Advanced Science, EarlyView.
ABSTRACT The shift from point‐based thermal sensing to filter‐free thermal imaging requires luminescent thermometers that exhibit pronounced and thermally driven spectral changes within spectral regions matching the sensitivity profiles of the red, green and blue (RGB) channels of a digital camera.
Y. Abe, M. Szymczak, J. Zeler, L. Marciniak   +3 more
wiley   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

An Approach for Estimating Lightning Current Parameters Using the Empirical Mode Decomposition Method. [PDF]

Sensors (Basel), 2022
Grebović S, Oprašić N, Helać V, Uglešić I, Akšamović A, Konjicija S.   +5 more
europepmc   +1 more source

Empirical Mode Decomposition-Based Deep Learning Model Development for Medical Imaging: Feasibility Study for Gastrointestinal Endoscopic Image Classification. [PDF]

J Imaging
Deb M, Dhar MK, Elangovan P, Gopalakrishnan K, Sood D, Sethi A, Afroze S, Bansal S, Goudel A, Parikh C, Kaur A, Rapolu S, Panjwani GAR, Ansari RA, Asadimanesh N, Karuppiah SS, Helgeson SA, Akshintala VS, Arunachalam SP.   +18 more
europepmc   +1 more source

Fault Feature Extraction Method for Rolling Bearings Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Variational Mode Decomposition. [PDF]

Sensors (Basel), 2023
Wang L, Li H, Xi T, Wei S.
europepmc   +1 more source

Computation‐Guided Control of Excited‐State Deactivation through Modulation of Conical‐Intersection Accessibility by Donor–Acceptor Asymmetry in Bridged Stilbene AIE Luminogens

Advanced Science, EarlyView.
Donor–acceptor asymmetry modulates conical‐intersection accessibility and topology in bridged stilbenes, providing mechanistic insight into excited‐state deactivation and aggregation‐induced emission (AIE). ABSTRACT A computation‐guided investigation of asymmetric donor–acceptor bridged stilbenes reveals structure–property relationships governing ...
Takuya Tanaka, Satoshi Suzuki, Hirosato Koyanagi, Kiyoshi Miyata, Riki Iwai, Kazunobu Igawa, Ken Onda, Ben Zhong Tang, Gen‐ichi Konishi   +8 more
wiley   +1 more source

Hybrid Framework for Cartilage Damage Detection from Vibroacoustic Signals Using Ensemble Empirical Mode Decomposition and CNNs. [PDF]

Sensors (Basel)
Machrowska A, Karpiński R, Maciejewski M, Jonak J, Krakowski P, Syta A.   +5 more
europepmc   +1 more source

A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface. [PDF]

Front Comput Neurosci, 2022
Jaipriya D, Sriharipriya KC.
europepmc   +1 more source