Results 191 to 200 of about 545,451 (275)

Energy‐Efficient Bulk Photoalignment of Main‐Chain Liquid Crystalline Polymers Enabled by In Situ Monitoring

Advanced Functional Materials, EarlyView.
In situ monitoring of bulk photoalignment reveals how molecular weight, azobenzene content, cooling rate, and thickness govern ordering in main‐chain liquid crystalline polymers. Optimized copolymers exceed conventional thickness limits, maintaining stable alignment up to 130 µm with high energy efficiency and reversible optical patterning.
Jaechul Ju, Joy Zhou, Connor J. O'Dea, Zachariah A. Page   +3 more
wiley   +1 more source

Atomically Revealing Bulk Point Defect Dynamics in Hydrogen‐Driven γ‐Fe2O3 → Fe3O4 → FeO Transformation

Advanced Functional Materials, EarlyView.
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu, Dongxiang Wu, Wenhui Zhu, Xiaobo Chen, Zhikang Zhou, Zhilu Liang, Shuonan Ye, Meng Li, Xiao Tong, Kim Kisslinger, Sooyeon Hwang, Dmitri Zakharov, Renu Sharma, Judith C. Yang, Guangwen Zhou   +14 more
wiley   +1 more source

Impact of cilia length and variable fluid properties on electroosmotic nanofluid flow in an inclined converging microchannel. [PDF]

Sci Rep
Sadalagi P, Choudhari R, Vaidya H, Gudekote M, Prasad KV.   +4 more
europepmc   +1 more source

Oral Dosed Organo‐Silica Nanoparticles Restore Glucose Homeostasis and β‐Cell Function in Diabetes Rats

Advanced Functional Materials, EarlyView.
An oral nanoplatform, MOP@T@D, which can maintain glucose homeostasis and restore islet β cells in diabetic rats is developed. It achieves efficient intestinal absorption and liver‐targeted delivery. The nanoparticle disintegrates only in response to hyperglycemia to release insulin on demand and provides antioxidant protection through selenoprotein ...
Chenxiao Chu, Mingli Wei, Che Bian, Xiaoshuang Bi, Yaxin Deng, Peifu Xiao, Jiansong Zhao, Yuying Wang, Haibing He, Jingxin Gou, Tian Yin, Xing Tang, Li Yang, Hongbo Zhang, Yu Zhang   +14 more
wiley   +1 more source

Exploring complex dynamics in nonlinear Riemann wave models using fractional calculus-based expansion. [PDF]

Sci Rep
Mumtaz A, Masood K, Shakeel M, Shah NA.
europepmc   +1 more source

DNA‐Templated 2D Heterostructures as Phototriggered Dynamic Nanohybrids: From Releasing Molecular Loads to Controlling Enzyme Biocatalytic Function

Advanced Functional Materials, EarlyView.
DNA strands are employed both as dynamic linkers and nanoscale templates for the integration of Ag2S nanoparticles on MoS2, which in turn imparted photothermal responsiveness; this feature permits the selective cargo (fluorophore, quantum dots or an enzyme) release from the MoS2 surface in response to local heat induced by light irradiation.
Kai Chen, Haosen Miao, Weiying Hong, Matteo Palma   +3 more
wiley   +1 more source

Implementation of a Length Gauge Based on Optical Frequency Domain Reflectometry (OFDR). [PDF]

Sensors (Basel)
Shestakov A, Kambur D, Konstantinov Y, Belokrylov M, Claude D, Shardakov I, Turov A.   +6 more
europepmc   +1 more source

Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers

Advanced Functional Materials, EarlyView.
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung, Jungwoo Shin, Qiujie Zhao, Minjee Kang, Christopher Evans, Cecilia Leal, Paul V. Braun, David G. Cahill   +7 more
wiley   +1 more source

Multi-Epoch Differential Pseudorange Joint Positioning Using GNSS Signals and Terrestrial Cellular Signals-of-Opportunity. [PDF]

Sensors (Basel)
Zhang P, Jin T, Chakwizira J, Wang Y.
europepmc   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source