Results 151 to 160 of about 660,214 (294)

Behaviour of a Fatigue Crack

Transactions of the Japan Society of Mechanical Engineers, 1973
HONMA, Hiroomi, NAKAZAWA, Hajime
openaire   +2 more sources

RPLP2 Mediates the Beneficial Effects of Exercise on Stress Resistance Through Muscle–Brain Communication

Advanced Science, EarlyView.
A novel exercise‐inducible myokine acidic ribosomal protein P2 (RPLP2), initially identified from human trials, is presented here, whose circulating levels negatively correlate with clinical anxiety severity. Muscle‐derived RPLP2 enhances hippocampal ribosomal assembly and adult neurogenesis to rescue stress‐induced anxiety deficits.
Peiyu Luo, Wei Wu, Huan Peng, Dan He, Yuxi Guo, Boyue Zhao, Xiaodan Wang, Li Ma, Yuhang Qin, Yifang Zhai, Lixia Zhuo, Ying Zhang, Yijie Guo, Linlin Jing, Fangyao Chen, Erfei Zhang, Wei Wang, Xiancang Ma, Yan Li   +18 more
wiley   +1 more source

Multi-Scale Numerical Simulation of Fatigue Crack Propagation Mechanisms in the Heat-Affected Zone of AH36 Steel Welds. [PDF]

Materials (Basel)
Shen C, Fu Y, Zhao W, Yang J.
europepmc   +1 more source

Wafer‐Scale Atomically‐Thin Gold: Transferable Platform for Flexible Optoelectronics, Thermal Management and Bio‐Interfaces

Advanced Science, EarlyView.
Combining template stripping with a graphene‐inspired transfer yields continuous, transferable gold films at 6‐inch wafer scale with thicknesses approaching the atomic limit. The atomically smooth, near‐bulk‐quality films offer above 86% transmittance and sub‐20 Ω/square sheet resistance, serving as a universal platform for flexible optoelectronics ...
Dmitry Yakubovsky, Mikhail Mironov, Georgy Ermolaev, Aleksandr Khrebtov, Aleksandr Slavich, Prashant Narute, Pritom Chowdhury, Roman Kirtaev, Igor Khramtsov, Anton Minnekhanov, Gleb Tselikov, Dmitriy Grudinin, Maria Sidorova, Nikolay Pak, Pavel Maslov, Andrey Vyshnevyy, Hongkai Zhou, Vasyl G. Kravets, Alexander N. Grigorenko, Ivan Kruglov, Nikita Orekhov, Dmitry Kireev, Aleksey Arsenin, Kostya S. Novoselov, Valentyn Volkov   +24 more
wiley   +1 more source

Accelerating the Measurement of Fatigue Crack Growth with Incremental Information-Based Machine Learning Approach. [PDF]

Materials (Basel)
Wen C, Lu H, Wang Y, Wang M, Tian Y, Wu D, Diao Y, Hu J, Zhang Z.   +8 more
europepmc   +1 more source

A Flexible Eddy Current TMR Sensor for Monitoring Internal Fatigue Crack. [PDF]

Sensors (Basel), 2023
Yang F, He Y, Fan X, Chen T, Zhang T, Ma B.   +5 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

Fatigue Crack Length Estimation Using Acoustic Emissions Technique-Based Convolutional Neural Networks. [PDF]

Sensors (Basel)
Migot A, Saaudi A, Joseph R, Giurgiutiu V.   +3 more
europepmc   +1 more source

A Literature Review of Incorporating Crack Tip Plasticity into Fatigue Crack Growth Models. [PDF]

Materials (Basel), 2023
Garcia-Gonzalez A, Aguilera JA, Cerezo PM, Castro-Egler C, Lopez-Crespo P.   +4 more
europepmc   +1 more source

Influence of Oxidation on Fatigue Crack Growth, on the Modelling of Thermal Fatigue Cracking

, 1989
F. REZAI-ARIA, L. REMY
openaire   +2 more sources