Results 121 to 130 of about 835,490 (206)
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Lithiophilic Current Collector Without Interfacial Penalty in Zero‐Excess Lithium Metal Batteries
Bilayer lithiophilic coatings are introduced to overcome the structural fragility of conventional single‐layer current collectors in zero‐excess Li‐metal batteries (ZE‐LMBs). By integrating density functional theory with electrochemical analyses, the Ag‐outer/Pt‐inner configuration enables uniform Li deposition, robust SEI formation, and persistent ...
Jiyeon Seo +8 more
wiley +1 more source
This study provides a translational approach for linking neural activity to tactile deficits in autism. By combining psychophysics with cortical recordings in a mouse model of autism, we show that low signal‐to‐noise ratio in somatosensory neurons weakens population encoding of fine touch, impairing detection, decoding, and leading to perceptual ...
Ourania Semelidou +7 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
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
Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang +4 more
wiley +1 more source
Revolutionizing Lithium Metal Anodes With 3D‐Printed Topology‐Optimized Hosts for Enhanced Stability
This study presents a topology‐optimized lithium metal anode host fabricated via digital light processing (DLP) 3D printing. The reinforced microstructure provides mechanical stability, suppresses dendrite growth, and accommodates volume changes.
Xin Hu +5 more
wiley +1 more source
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
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

