Results 21 to 30 of about 1,563 (173)
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua +6 more
wiley +1 more source
This work develops a breathable potentiometric self‐powered pressure sensor with good wearability, using a non‐woven fabric substrate and hydrogel electrolyte. The sensor is integrated into a five‐channel smart glove to acquire reliable hand motion signals, which are processed by a CNN for identity verification and smart vehicle control in human ...
Qilong Zhang +10 more
wiley +1 more source
A fully compensated synthetic antiferromagnet (SAF) multilayer exhibits a uniform state at zero field, without skyrmions. We use a SAF bias system to provide RKKY‐mediated exchange bias to the SAF multilayer, promoting zero‐field skyrmion stabilization and polarity control.
Emily Darwin +5 more
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
A non‐contact computer vision method enables monitoring and quantitative comparison of vessel‐specific CO release kinetics from structurally diverse surrogates in two‐chamber COware reactors, revealing that surrogate reactivity scores correlate with carbonylation reaction outcomes.
Kristin Donnachie +4 more
wiley +2 more sources
Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source

