Results 81 to 90 of about 307,051 (177)

Quantitative analysis of defects in silicon. Silicon sheet growth development for the large are silicon sheet task of the low-cost solar array project [PDF]

One hundred and seventy four silicon sheet samples were analyzed for twin boundary density, dislocation pit density, and grain boundary length. Procedures were developed for the quantitative analysis of the twin boundary and dislocation pit densities ...
Bruce, T., Natesh, R., Oidwai, H. A., Smith, J. M.   +3 more
core   +1 more source

Digital Twins

, 2020
Digital Twins are one of the hottest digital trends. In this contribution we will shortly review the concept of Digital Twins and the chances for novel industrial applications. Mathematics are a key enabler and the impact will be highlighted along four specific examples addressing Digital Product Twins democratizing Design, Digital Production Twins ...
Hartmann, Dirk, van der Auweraer, Herman
openaire   +2 more sources

Foundational development, modeling and configuration of state stabilizing mechanism to maintain axial tension in ball screw feed drive systems

Journal of Advanced Mechanical Design, Systems, and Manufacturing
This study presents a state stabilizing mechanism that can maintain consistent axial tension in the ball screw feed drive systems used within machine tools, even when the screw shaft is elongated due to thermal expansion.
Satoru ARAI, Yushi TAKENOUCHI, Shintaro HONDA, Shota TANI   +3 more
doaj   +1 more source

An interactive atlas of genomic, proteomic, and metabolomic biomarkers promotes the potential of proteins to predict complex diseases

Scientific Reports
Multiomics analyses have identified multiple potential biomarkers of the incidence and prevalence of complex diseases. However, it is not known which type of biomarker is optimal for clinical purposes.
Martin Smelik, Yelin Zhao, Xinxiu Li, Joseph Loscalzo, Oleg Sysoev, Firoj Mahmud, Dina Mansour Aly, Mikael Benson   +7 more
doaj   +1 more source

Enhancing photovoltaic power forecasting with cross-variable linear integrated enhanced transformer

Energy Conversion and Management: X
Accurate forecasting of photovoltaic (PV) power generation is indispensable to the optimal operation and strategic deployment of PV energy systems, facilitating robust energy management practices and the smooth integration of PV resources into the power ...
Jiaxin Gao, Qinglong Cao, Yinghao Chu, Dongxiao Zhang, Yuntian Chen   +4 more
doaj   +1 more source

Artificial Intelligence-Enhanced Digital Twin Systems Engineering Towards the Industrial Metaverse in the Era of Industry 5.0

Chinese Journal of Mechanical Engineering
With the continuous advancement and maturation of technologies such as big data, artificial intelligence, virtual reality, robotics, human-machine collaboration, and augmented reality, many enterprises are finding new avenues for digital transformation ...
He Zhang, Yilin Li, Shuai Zhang, Lukai Song, Fei Tao   +4 more
doaj   +1 more source

Transcript and protein signatures derived from shared molecular interactions across cancers are associated with mortality

Journal of Translational Medicine
Background Characterization of shared cancer mechanisms have been proposed to improve therapy strategies and prognosis. Here, we aimed to identify shared cell–cell interactions (CCIs) within the tumor microenvironment across multiple solid cancers and ...
Yelin Zhao, Xinxiu Li, Joseph Loscalzo, Martin Smelik, Oleg Sysoev, Yunzhang Wang, A. K. M. Firoj Mahmud, Dina Mansour Aly, Mikael Benson   +8 more
doaj   +1 more source

Digital twin and its applications in the construction industry: A state-of-art systematic review [version 3; peer review: 1 approved, 5 approved with reservations]

Digital Twin
The construction industry has a great impact on social and economic development because of its wide coverage and a large number of stakeholders involved. It is precisely owing to its large volume that technological innovation of the construction industry
Ray Y. Zhong, Shuaiming Su, Yishuo Jiang
doaj   +1 more source

Generative discovery of partial differential equations by learning from math handbooks

Nature Communications
Data-driven discovery of partial differential equations (PDEs) is a promising approach for uncovering the underlying laws governing complex systems.
Hao Xu, Yuntian Chen, Rui Cao, Tianning Tang, Mengge Du, Jian Li, Adrian H. Callaghan, Dongxiao Zhang   +7 more
doaj   +1 more source

A Digital Twin Framework for Nuclear Power Equipment Maintenance: Design, Prototyping, and Preliminary Validation [version 2; peer review: 3 approved, 3 approved with reservations]

Digital Twin
Throughout the lifecycle of Nuclear Power Equipment (NPE), maintaining high-safety maintenance services is essential for optimal operation. Traditional time-based maintenance strategies are limited in NPE contexts due to stringent safety requirements and
Qingfeng Xu, Qian Huang, Fengtian Chang, Yifan Zhi, Min Zhang, Guanghui Zhou, Chao Zhang   +6 more
doaj   +1 more source