Results 121 to 130 of about 336,781 (326)
Mitigating Electrochemical Isolation in Ni‐Rich Layered Cathodes for Durable Solid‐State Batteries
Advanced Science, EarlyView.Electrochemical isolation of Ni‐rich layered cathodes in sulfide solid‐state batteries is uncovered as a previously unrecognized but critical performance‐limiting pathway. This study elucidates its origin and impact and introduces a scalable mitigation strategy using oxygen‐functionalized conductive carbon.
Abhirup Bhadra +7 more
wiley +1 more source
A New Methodology for the Digital Planning of Micro-Implant-Supported Maxillary Skeletal Expansion
Medical Devices: Evidence and Research, 2020 Daniele Cantarella,1 Gianpaolo Savio,2 Luca Grigolato,2 Paolo Zanata,3 Chiara Berveglieri,4 Antonino Lo Giudice,5,6 Gaetano Isola,5 Massimo Del Fabbro,1 Won Moon7 1Department of Biomedical, Surgical and Dental Sciences, University of Milan, Milan, Italy;
Cantarella D +8 more
doaj
A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials
Advanced Science, EarlyView.This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu +13 more
wiley +1 more source
Learnable Diffusion Framework for Mouse V1 Neural Decoding
Advanced Science, EarlyView.We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng +2 more
wiley +1 more source
Advanced Science, EarlyView.The formation of insulating Li2S during discharge in solid‐state lithium–sulfur batteries passivate reaction sites and limits sulfur utilization. In this work, a microstructure‐resolved modeling framework coupling transport and reaction kinetics is developed to predict charge–discharge behavior and reveal particle‐scale species evolution and incomplete
Arpan K. Sharma +4 more
wiley +1 more source
Comparative Analysis of Machine Learning Algorithms for Health Insurance Pricing
JOIV: International Journal on Informatics VisualizationInsurance is an effective way to guard against potential loss. Risk management is primarily employed to protect against the risk of a financial loss. Risk and uncertainty are inevitable parts of life, and the pace of life has led to a rise in these risks
Yoon-Teck Bau, Shuhail Azri Md Hanif
doaj +1 more source
Advanced Science, EarlyView.Inspired by the regulation mechanism of window blinds, this study designs an electromagnetic wave‐absorbing metamaterial. By introducing the magneto‐electric coupling concept and integrating it with an artificial intelligence‐based data‐driven collaborative optimization strategy, the material optimizes impedance matching performance and enhances loss ...
Zhe Wang +9 more
wiley +1 more source
Advanced Science, EarlyView.BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Coding and Decoding Schemes for MSE and Image Transmission [PDF]
, 2014 In this work we explore possibilities for coding and decoding tailor-made for mean squared error evaluation of error in contexts such as image transmission.
Firer, Marcelo +2 more
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