Results 51 to 60 of about 121,414 (169)

Controlling Photochromism of Donor‐Acceptor Stenhouse Adducts on Micro‐Dot Arrays Beyond Human‐Eyes Resolution for Dynamic Light Encryption

Advanced Science, EarlyView.
This study presents a micro‐dot array strategy for dynamic light encryption, utilizing DASA‐based photochromism with resolution beyond human‐eye capacity. By precisely controlling isomerization kinetics, the method reveals multi‐layered encrypted information under specific light irradiation, enhancing information security and anti‐counterfeiting ...
Hongtao Hu, Fanxi Sun, Hanjun Zhang, Xiao Wang, Gaolu Zhu, Jiayu Li, Mengyao Yang, Xu Deng, Yonghao Zheng, Chen Wei, Dongsheng Wang   +10 more
wiley   +1 more source

Cucurbit[8]Uril Achieved Single‐Molecule Chiral Transfer to Supramolecular Circularly Polarized Luminescence

Advanced Science, EarlyView.
A single‐molecule cascade supramolecular system comprising L/D‐FPy, CB[8], and SC4AD serves as an efficient light‐harvesting platform. It facilitates cascade energy transfer and chiral transfer to acceptor dyes. Co‐assembly with a PVA matrix produces a multicolor solid film that exhibits enhanced luminescence dissymmetry factors (glum), enabling ...
Yongxue Li, Jie Wu, Weiheng Zhang, Hengzhi Zhang, Wei‐Lei Zhou, Yu Liu   +5 more
wiley   +1 more source

Self‐Powered Bearing Sensing and Real‐Time Fault Diagnosis Enabled by Non‐Invasive Triboelectric Sensors and Edge AI Acceleration

Advanced Science, EarlyView.
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu, Zhongheng Liu, Xinming Li, Jinrui Zhang, Meng Li, Yiming Guo, Lihua Han, Yanxue Wang   +7 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Decoding Spatial Heterogeneity and Multi‐Omics Regulation with Hierarchical Graph Learning

Advanced Science, EarlyView.
ABSTRACT Recent advances in spatial multi‐omics technologies have enabled the simultaneous profiling of multiple molecular layers within the same tissue slice, providing unprecedented opportunities to investigate tissue spatial organization. However, most existing computational methods identify spatial domains in a purely data‐driven manner, rarely ...
Jiazhou Chen, Jiahui Xie, Yi Liao, Junyu Li, Longqi Liu, Xin Gao, Hongmin Cai   +6 more
wiley   +1 more source

Flexoelectricity in Photoconversion: Fundamentals, Materials, and Outlooks

Advanced Science, EarlyView.
Mechanical bending of a flexible cantilever induces a strain gradient in the photoactive material. The resulting flexoelectric field couples with photovoltaic and photoconductive effects, modulating charge generation, separation, and collection. A comparative analysis of oxide perovskites, halide perovskites, and two‐dimensional materials is presented,
Xiang Huang, Feng Li, Rongkun Zheng
wiley   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

Advanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung, Gwang Ya Kim, Sejin Kim, Hyunjong Seo, Se Gi Lee, Sang Min Won, Dongjoon Rhee, Joohoon Kang   +7 more
wiley   +1 more source

Multi‐Axis Stretchable Zippers for Personalized Wound Healing

Advanced Science, EarlyView.
Multi‐axis stretchable zippers can adapt to complex wound morphologies and enable personalized wound treatment through programmable contraction. This morphological matching strategy helps accelerate wound closure, improve blood perfusion, promote epithelial regeneration, and enhance collagen remodeling, pioneering new directions for personalized and ...
Siyuan Cai, Guang Yao, Zijian Chen, Shiqi Zhou, Peisi Li, Liheng Lin, Huake Yang, Ziyi Zhou, Linbo Jin, Xingyi Gan, Chenzheng Zhou, Zhen Cai, Taisong Pan, Min Gao, Dongli Fan, Yuan Lin, Yiming Zhang   +16 more
wiley   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review

Advanced Science, EarlyView.
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh, Ki‐bum Lee, Junghyeon Lee, Seunghee Cho, Malkeshkumar Patel, Hangfei Li, Yu Wen, Ye Zhou, Joondong Kim   +8 more
wiley   +1 more source