Results 121 to 130 of about 83,069 (252)

Space‐Time Coding Conformal Metasurfaces for Multifrequency Beam Steering and Shaping

Advanced Materials, EarlyView.
Space‐time coding conformal metasurfaces enable dynamic wave control on curved surfaces by combining programmable spatial patterns with temporal modulation. This study shows that a single conformal aperture can independently manipulate multiple frequency components, achieving multifunctional beam shaping and steering, with implications for ...
Filippo Pepe, Lei Zhang, Yi Ning Zheng, Xiao Qing Chen, Ivan Iudice, Giuseppe Castaldi, Marco Di Renzo, Tie Jun Cui, Vincenzo Galdi   +8 more
wiley   +1 more source

From Behavior to Dynamics: Decoding Carrier Roles in Cu‐based Photocathodes for Solar‐Driven CO2 Reduction

Advanced Materials, EarlyView.
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang, Chenyu Xu, Peng‐Fei Sui, Yi Liu, Xiaolei Wang, Jing‐Li Luo   +5 more
wiley   +1 more source

TCMI-F-6D benchmark construction and quantitative assessment of interdisciplinary foundational competencies in traditional Chinese medicine informatics using large language models. [PDF]

Front Artif Intell
Teng Z, Chang J, Xu Y, Kan H, Ou Y, Hu J, Gu Z, Yang Y, Shu J.   +8 more
europepmc   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

Advanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler, Hannah C. Safford, Ajay S. Thatte, Marshall S. Padilla, Elisa Battistini, Hannah M. Yamagata, Violet M. Ullman, Alex Chan, Benjamin E. Nachod, Anushka Agrawal, Maxwell B. Watkins, Jesse B. Hopkins, Andrew Tsourkas, Kushol Gupta, Michael J. Mitchell   +14 more
wiley   +1 more source

Machine learning-driven renewable energy grid integration stability assessment: LIME interpretability and LLM intelligent analysis. [PDF]

Sci Rep
Xu R, Zheng Y, Meng Q, Yang Q.
europepmc   +1 more source

Decoupling Activation and Preservation: Architectural Design Principles of Organic Frameworks for Selective Photocatalytic Methane Oxidation

Advanced Materials, EarlyView.
Selective methane (CH4) photooxidation emerges from architectural decoupling of activation and preservation. Programmable organic semiconductor frameworks spatially organize oxidative flux and intermediate residence, separating reaction zones from product domains to synchronize activation strength with stabilization and establish a selective oxidation ...
Minxian Zhang, Jie He, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +5 more
wiley   +1 more source

Correct Intermediate Concepts: A Non-Circular Theory of Recognition, Stability, Certification, and Learning

This manuscript develops a theoretical framework in which intermediate concepts are treated as structurally real and scientifically meaningful objects rather than as incidental by-products of a particular architecture. Its central goal is to replace weak post hoc interpretability with a non-circular account of when intermediate modules are correct, how
openaire   +2 more sources

Application of Machine Learning in Predicting the Properties of Two-Dimensional Semiconductor Materials. [PDF]

Nanomaterials (Basel)
Yang J, Tang L, Wang Y, Wen J, Chen W.
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

AI-driven skill volatility and the emergence of re-skilling fatigue: the human cost of perpetual learning. [PDF]

Front Artif Intell
Biju TE, Ambady A, K V T.
europepmc   +1 more source