Results 131 to 140 of about 1,573,882 (289)
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 +13 more
wiley +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
A New Discernibility Metric and Its Application on Pattern Classification and Feature Evaluation
. A novel evaluation metric is introduced, based on the Discernibility concept. This metric, the Distance-based Index of Discernibility (DID) aims to provide an accurate and fast mapping of the classification performance of a feature or a dataset.
Zacharias Voulgaris
core
A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim +8 more
wiley +1 more source
International audienceThis paper addresses the problem of Fault Detection and Isolation (FDI) of switching systems where faulty behaviours are represented as faulty modes.
Pekpe, Komi Midzodzi +2 more
core +1 more source
This study introduces In3+ into δ‐MnO2 to create a lattice breathing effect via a dynamic strain field, which establishes efficient ″ polaronic superhighways″ for charge transport. We uncover an unconventional two‐stage (Zn2+/H+ co‐insertion followed by Zn2+‐dominant) mechanism that enables reversible structural adjustment. This approach simultaneously
Haitao Li +15 more
wiley +1 more source
Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu +7 more
wiley +1 more source
A nebulized nanoassembly alleviates radiation‐induced lung injury by reprogramming macrophages through coordinated ROS scavenging, NAD+ replenishment, and PPAR‐γ activation. Redox balance, mitochondrial homeostasis, and immune regulation are restored, revealing a microenvironment‐centered strategy for localized radioprotection.
Mingquan Gao +11 more
wiley +1 more source
Anisotropic Memristive Switching in NbOCl2 Enabled by Directional Oxygen Ion Migration
This study investigates strongly orientation‐dependent memristive switching in anisotropic NbOCl2, observed exclusively along the in‐plane c‐axis. The switching originates from direction‐selective oxygen‐ion migration and vacancy propagation that modulate the Pd/NbOCl2 Schottky barrier, enabling short‐term plasticity.
Caokun Wang +6 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source

