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Digital twin data: methods and key technologies [version 1; peer review: 1 approved, 3 approved with reservations]

Digital Twin, 2021
As a promising technology to converge the traditional industry with the digital economy, digital twin (DT) is being investigated by researchers and practitioners across many different fields. The importance of data to DT cannot be overstated.
Ang Liu, Meng Zhang, Lihui Wang, Fei Tao, Biqing Huang, A. Y. C. Nee, Nabil Anwer   +6 more
doaj   +1 more source

Digital Twin Cities: Multi-Disciplinary Modeling and High-Performance Simulation of Cities [Elektronisk resurs]

, 2022
The digital twin concept has virtually exploded in recent years, as evidenced by the exponentially growing number of scientific articles making use of the concept. The concept originates from the manufacturing industry where the use of CAD models enables
Logg, Anders,, Naserentin, Vasilis,
core  

Digital twin data: methods and key technologies [version 2; peer review: 4 approved]

Digital Twin, 2022
As a promising technology to converge the traditional industry with the digital economy, digital twin (DT) is being investigated by researchers and practitioners across many different fields. The importance of data to DT cannot be overstated.
Ang Liu, Meng Zhang, Lihui Wang, Fei Tao, Biqing Huang, A. Y. C. Nee, Nabil Anwer   +6 more
doaj   +1 more source

Urban digital twins: Digital twins for participatory steering

New Media & Society
Originating in the field of manufacturing, the Digital Twin (DT) concept is now being applied across a range of application domains, from personal healthcare to whole Earth observation. Despite enthusiasm for DTs, uncertainties have arisen concerning their lack of definition and technical specificity.
Oliver Dawkins, Rob Kitchin
openaire   +3 more sources

Unraveling the Foreign-Cation Effect in UCl₃-Type Halide Solid Electrolytes for Low-Temperature All-Solid-State Batteries

Nature Communications
UCl₃-based halide solid electrolytes have garnered increasing interest for application in all-solid-state batteries, yet their structural characteristics, chemical composition, and ion transport mechanisms remain under debate.
Pushun Lu, Zhimin Zhou, Shiyue Cao, Jiamin Fu, Weiping Li, Kaiyong Tuo, Suze Liang, Jian Hong, Jiuwei Lei, Jiaxu Zhang, Ziqing Wang, Shutao Zhang, Guantai Hu, Chao Wang, Tingting Liu, Suting Weng, Wei Xia, Xuefeng Wang, Xueliang Sun, Changhong Wang   +19 more
doaj   +1 more source

Multimodal ultra-short-term probabilistic solar power forecasting with generative AI and Transformer

Advances in Applied Energy
Solar power is one of the most widely adopted forms of renewable energy, with its usage rapidly increasing in recent years. However, solar power generation is highly sensitive to environmental factors, leading to frequent fluctuations. These fluctuations
Binyu Xiong, Yuntian Chen, Xin Zhao, Zhongyue Su, Jun Fu, Dali Chen, Dongxiao Zhang   +6 more
doaj   +1 more source

Web-based digital twin online laboratories: Methodologies and implementation [version 3; peer review: 2 approved, 1 approved with reservations]

Digital Twin, 2023
Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. As a transformative technology, the digital twin can be potentially applied into online laboratories to enable ...
Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu   +3 more
doaj   +1 more source

Chapter Human-in-the-Loop Digital Twin Framework for Assessing Ergonomic Implications of Exoskeletons

, 2023
Exoskeletons are increasingly being recognized as ergonomic solutions for work-related musculoskeletal disorders in the construction industry. However, users of active back-support exoskeletons are susceptible to various physical and psychological risks,
Okunola, Akinwale, Afolabi, Adedeji, Akanmu, Abiola   +2 more
core   +1 more source

KinForm: kinetics-informed feature optimised representation models for enzyme k c a t and K M prediction

npj Systems Biology and Applications
Kinetic parameters such as the turnover number (k cat) and Michaelis constant (K M) are essential for modelling enzymatic activity but experimental data remains limited in scale and diversity. Previous methods for predicting enzyme kinetics typically use
Saleh Alwer, Ronan M. T. Fleming
doaj   +1 more source

Building Digital Twin Data Model Based on Public Data

Buildings
This study aims to propose a method for constructing basic digital twin data in South Korea by adhering to international standards and by utilizing publicly available data.
Dawoon Jeong, Changyun Lee, Youngmin Choi, Taeyun Jeong   +3 more
doaj   +1 more source