Results 191 to 200 of about 52,383 (316)

Smart Nanotechnologies for Multimodal Neuromodulation and Brain Interfacing

Advanced Science, EarlyView.
Recent advances in smart nanotechnologies are expanding the toolbox for brain interfacing, from wireless neuromodulation and high‐resolution sensing to targeted delivery within the central nervous system. By combining responsive nanomaterials with bioinspired design, these platforms enable multimodal interactions with neurons and glia, while also ...
Tommaso Curiale, Marie Celine Lefevre, Alessio Carmignani, Maria Cristina Ceccarelli, Matteo Battaglini, Attilio Marino, Gianni Ciofani   +6 more
wiley   +1 more source

Energy-Based Approach for Fatigue Life Prediction of Additively Manufactured ABS/GNP Composites. [PDF]

Polymers (Basel)
Hassanifard S, Behdinan K.
europepmc   +1 more source

Corrosion-Fatigue Life Prediction of the U-Shaped Beam in Urban Rail Transit under a Chloride Attack Environment. [PDF]

Materials (Basel), 2022
Chen G, Wang M, Cui C, Zhang Q.
europepmc   +1 more source

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

Advanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li, Hongtao Zhang, Zichao Peng, Yuheng Zhang, Qian Lv, Yihuan Cao, Xuqing Wang, Huadong Fu, Jianxin Xie   +8 more
wiley   +1 more source

Comparative analysis of ensemble learning techniques for enhanced fatigue life prediction. [PDF]

Sci Rep
Farhadi S, Tatullo S, Ferrian F.
europepmc   +1 more source

Establishment and Verification of Multiaxis Fatigue Life Prediction Model. [PDF]

Scanning, 2021
Fu Z, Li X, Zhang S, Xiong H, Liu C, Li K.   +5 more
europepmc   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

A Multiaxial Fatigue Life Prediction Approach Accounting for Additional Strengthening Effect Based on Energy-Critical Plane Model. [PDF]

Materials (Basel)
Wang B, Gao J, Yuan Y, Zhou J, Cheng Q, Pan R.   +5 more
europepmc   +1 more source

Numerical Failure Analysis and Fatigue Life Prediction of Shield Machine Cutterhead. [PDF]

Materials (Basel), 2021
Li J, Zhang Z, Liu C, Su K, Guo J.
europepmc   +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