Results 141 to 150 of about 2,975 (258)

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Chaotic and dynamic vibration analysis of a time-delayed nonlinear mathieu oscillator via non-perturbative approach. [PDF]

Sci Rep
Moatimid GM, Amer TS, Mohamed YM.
europepmc   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Inhibitory-stabilization is sufficient for history-dependent computation in a randomly connected attractor network. [PDF]

J Comput Neurosci
Hilty CJ, Miller P.
europepmc   +1 more source

Ratiometric Mycotoxin Detection in Living Plants With Dual‐Emissive Nanosensors

Advanced Materials, EarlyView.
A minimally invasive microneedle patch integrates carbon dot‐embedded metal–organic frameworks as nanosensors to detect a key fungal toxin in living plants. The nanosensor produces a ratiometric fluorescence signal that enables early, non‐destructive diagnosis of fungal infection before visible symptoms, offering a new biomaterials‐based strategy for ...
Yuliang Li, Di Shen, Ziyang Huang, Suppanat Puangpathumanond, Calvin Thenarianto, Yue Zhao, Jolly Madathiparambil Saju, Rajani Sarojam, Dongmei Zhou, Tedrick Thomas Salim Lew   +9 more
wiley   +1 more source

High-concurrency tri-mode memristor-based ordinary differential equation solver. [PDF]

Nat Commun
Yu L, Zhang T, Han Y, Wang B, Xie Z, Zhang H, Liu J, Yan L, Tiw PJ, Shi D, Cai L, Tao Y, Yang Y.   +12 more
europepmc   +1 more source

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Logistic regression for estimating functional effects with spatial transcriptomics. [PDF]

Nucleic Acids Res
Barkasi M, Pham CN, Neophytou D, Oviedo HV.   +3 more
europepmc   +1 more source

Oppositely Charged Single Enzyme Nanogels Form Versatile Coacervates for Efficient Enzyme Cascade Catalysis

Advanced Materials, EarlyView.
Oppositely charged single enzyme nanogels (SENs) phase‐separate into bi‐enzymatic coacervate microdroplets, acting as both scaffold and functional units. By tuning SEN ratios, these coacervates create specific microenvironments that enable selective small‐molecule enrichment and efficient intermediate diffusion.
Andoni Rodriguez‐Abetxuko, Nadia A. Erkamp, Neshat Moslehi, Yannick H. A. Leurs, Lars Paffen, Işil Yeşil Gür, Jana Stojanović, Hugo Brasselet, Laura van der Weel, Ulf Hanefeld, Ilja K. Voets, Jan C. M. van Hest   +11 more
wiley   +1 more source

Construction of multi-state chaotic systems and applications to image encryption. [PDF]

Sci Rep
Wang X, Wu H, Yan A, Hao H.
europepmc   +1 more source