Results 101 to 110 of about 6,954,768 (336)
The article presents the approaches to the creation of cloud information system for automation of business processes related to the preparation and publication of periodic scientific and educational publications (publishing).
E. V. Golubev+2 more
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Low‐Activation Compositionally Complex Alloys for Advanced Nuclear Applications—A Review
Low‐activation compositionally complex alloys (LACCAs) are advanced metallic materials primarily composed of low‐activation elements, offering advantages such as rapid compliance with operational standards and safe recyclability. This review highlights their potential for extreme high‐temperature irradiation environments as structural materials for ...
Yangfan Wang+8 more
wiley +1 more source
This study explores aerosol jet‐printed (AJP) surface roughness, its effects on the performance of microwave electronics, and its process contributors. First, an electromagnetic model is vetted for AJP's unique roughness signature. Simulations are built which show process‐induced roughness is as significant as conductor resistivity in driving microwave
Christopher Areias, Alkim Akyurtlu
wiley +1 more source
An Optimal Enhanced Kalman Filter for a ZUPT-Aided Pedestrian Positioning Coupling Model
Aimed at overcoming the problems of cumulative errors and low positioning accuracy in single Inertial Navigation Systems (INS), an Optimal Enhanced Kalman Filter (OEKF) is proposed in this paper to achieve accurate positioning of pedestrians within an ...
Qigao Fan+6 more
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Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech+6 more
wiley +1 more source
Joint Urban Modeling With Graph Convolutional Networks and Crowdsourced Data: A Novel Approach
Graph Convolutional Networks (GCN) are a potent and adaptable tool for effectively processing and analyzing continuous spatial data. Despite the substantial potential of GCN in various domains, most existing spatial data prediction models are confined to
Chao Deng+8 more
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Residual Stress States in Microstructurally Graded PBF–LB/M Austenitic Steel Components
This study examines microstructurally graded 316L rectangular tube profiles fabricated via PBF–LB/M using a dual‐laser system. A 1 kW top‐hat and a 400 W Gaussian laser create distinct grain sizes and crystallographic texture. Mechanical properties are linked to microstructural evolution driven by processing conditions.
Nico Möller+5 more
wiley +1 more source
In the background of the "cloud-edge collaboration + Internet of Things", in order to provide a comprehensive resource structure basis and a systematic regulation framework for dynamic performance quantitative analysis of virtual power plant (VPP), this ...
Tianqi SONG+6 more
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The utilization of direct energy deposition (DED)‐arc additive manufacturing processes in industrial applications is increasing, and these processes have the potential for multi‐material applications. This work provides a overview of the state of research in DED‐arc made functional graded structures, to establish a link to potential industrial ...
Kai Treutler, Volker Wesling
wiley +1 more source