Results 131 to 140 of about 5,656,159 (367)
This work reveals the phase composition and quantitative morphology analysis of precipitation‐hardened Fe32Cu12Ni11Ti16Al29 complex‐concentrated alloy. The precipitates are shown to have a high coherency. Morphology transition between sphere, cuboidal, and elongated morphology is observed. Finally, the overaging behavior is captured using microhardness.
Rostyslav Nizinkovskyi+4 more
wiley +1 more source
A Noise-Shifting Differential Colpitts VCO [PDF]
A novel noise-shifting differential Colpitts VCO is presented. It uses current switching to lower phase noise by cyclostationary noise alignment and improve the start-up condition.
Aparicio, Roberto, Hajimiri, Ali
core
Ag cluster‐modified K0.5Na0.5NbO3 acts as an efficient piezocatalyst for electrochemical N2 reduction, enhanced by built‐in electric fields under mechanical actuation. Comparative studies between static and actuated electrodes reveal improved performance under dynamic conditions.
Benedict Witulski+7 more
wiley +1 more source
This study analyses the impact of varying temperature and salinity stratifications on the thermal characteristics of the wake through a newly established simulation model, the reliability of which is confirmed by experimental validation.
Yongcheng Du+3 more
doaj +1 more source
This paper mainly focuses on the elastic support of thrust bearings. The dynamic characteristics of the shafting system are studied. Firstly, the multi-DOF transfer matrix expressions of the simplified mass element and spring element are derived. A three-
Yuanchao Zhang+4 more
doaj +1 more source
Noise Generation by Interacting Air Jets [PDF]
Uno Ingård, George C. Maling
openalex +1 more source
Key Trends and Insights in Smart Polymeric Skin Wearable Patches
Intelligent polymers, which respond to various physical and biological stimuli, are explored for the development of skin wearable patches in biomedical applications. Smart polymers, also known as intelligent or stimuli‐responsive polymers, play a crucial role in the development of advanced wearable patches due to their versatility and softness.
Sergio J. Peñas‐Núñez+2 more
wiley +1 more source
Feature selection tree for automated machinery fault diagnosis
Intelligent machinery fault diagnosis commonly utilises statistical features of sensor signals as the inputs for its machine learning algorithm. Due to the abundance of statistical features that can be extracted from raw signals and the accuracy of ...
Kar Hoou Hui+3 more
doaj +1 more source