Results 151 to 160 of about 16,969,628 (236)
Surface and Interfacial Engineering toward Durable Mechanically Coupled Flexible Electronics
This Review highlights how surface and interfacial engineering governs the reliability, durability, and functional stability of mechanically coupled flexible electronics. By integrating fundamental interfacial theory, failure mechanisms, multiscale engineering strategies, and representative applications, it provides a design‐oriented framework for ...
Qian Wang, Fangfang Dai, Wei Wu
wiley +1 more source
Interfacial Water Configurations: Evolution and Implications for Electrocatalysis
A comprehensive and mechanistic understanding of how interfacial water structures govern reaction pathways. This review aims to bridge the gap between unraveling the intricate role of water structures and establishing robust design principles for advanced catalysts.
Aoqi Wang +7 more
wiley +1 more source
EndoTac presents a trocar‐compatible endoscopic vision‐based tactile sensor that uses a convex mirror to enlarge side‐facing tactile coverage during minimally invasive vessel palpation. Distorted tactile images are unwarped and processed by a learning model to estimate vascular deformation, enabling sensitive, spatially distributed tactile perception ...
Yupeng Wang +5 more
wiley +1 more source
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source
China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu +3 more
wiley +1 more source
Ultrastable Self‐Cross‐linkable Electro‐Optic Materials Based on a Bisanthracene Scaffold
A novel bisanthracene‐based self‐cross‐linkable electro‐optic chromophore (TD2) is developed. TD2 exhibits a high r33 of 141 pm/V and a cross‐linked Tg up to 195 °C, retaining 99.75% of its initial EO response after 500 h at 85 °C, showing record‐high thermal stability for single‐molecule self‐cross‐linking EO materials.
Xingtao Wang +6 more
wiley +1 more source
Coarsening‐Resistant Ag Sinter Composites: Mechanistic Insights From Different Ag–Additive Systems
An Ag–WC sintered composite exhibiting superior resistance to thermal coarsening. Different particle‐reinforced Ag sinter composites showed markedly different microstructural responses to thermal aging. The comparison revealed that robust Ag–additive interfaces maintain grain‐boundary pinning, whereas insufficient interfacial stability results in the ...
Yang Liu +4 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
Streamlined V3.5+ Electrolyte Production by Leveraging Chemical and Catalytic Reductions
A tuned catalytic process for V3.5+ electrolyte production is shown to streamline the conventional chemical‐to‐catalytic sequence by extending catalysis into the rate‐determining reduction regime. This study shows that initiating catalysis in this regime shortens the overall production time by 67% based on rigorous thermodynamic and kinetic analysis of
Kyunghwa Seok +2 more
wiley +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source

