The digital twin revolution

被引:43
作者
Omer San [1 ]
机构
[1] Oklahoma State Univ, Sch Mech & Aerosp Engn, Stillwater, OK USA
来源
NATURE COMPUTATIONAL SCIENCE | 2021年 / 1卷 / 05期
关键词
6;
D O I
10.1038/s43588-021-00077-0
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
A uniform mathematical framework based on probabilistic graphical models drives the digital twin technologies towards dynamical control with real-time data.
引用
收藏
页码:307 / 308
页数:2
相关论文
共 6 条
[1]   Mining massive hierarchical data using a scalable probabilistic graphical model [J].
AlJadda, Khalifeh ;
Korayem, Mohammed ;
Ortiz, Camilo ;
Grainger, Trey ;
Miller, John A. ;
Rasheed, Khaled M. ;
Kochut, Krys J. ;
Peng, Hao ;
York, William S. ;
Ranzinger, Rene ;
Porterfield, Melody .
INFORMATION SCIENCES, 2018, 425 :62-75
[2]   A digital twin of Earth for the green transition [J].
Bauer, Peter ;
Stevens, Bjorn ;
Hazeleger, Wilco .
NATURE CLIMATE CHANGE, 2021, 11 (02) :80-83
[3]   Towards the future of smart electric vehicles: Digital twin technology [J].
Bhatti, Ghanishtha ;
Mohan, Harshit ;
Singh, R. Raja .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2021, 141
[4]   A probabilistic graphical model foundation for enabling predictive digital twins at scale [J].
Kapteyn, Michael G. ;
Pretorius, Jacob V. R. ;
Willcox, Karen E. .
NATURE COMPUTATIONAL SCIENCE, 2021, 1 (05) :337-+
[5]   Digital Twin: Values, Challenges and Enablers From a Modeling Perspective [J].
Rasheed, Adil ;
San, Omer ;
Kvamsdal, Trond .
IEEE ACCESS, 2020, 8 :21980-22012
[6]   Digital Twin in Industry: State-of-the-Art [J].
Tao, Fei ;
Zhan, He ;
Liu, Ang ;
Nee, A. Y. C. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (04) :2405-2415