Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins
Year: 2024
Type: report
Abstract: Oak Ridge National Laboratory (ORNL) is pleased to provide our response to the NITRD RFI on Digital Twins Research and Development. Digital twins are virtual representations of physical systems, leveraging real-time data to simulate and predict behaviors. ORNL is advancing digital twin technology across various disciplines, including neutron scattering, networking, science ecosystems, supercomputing, secure facilities, mobility technologies, materials design and discovery, power systems, fusion reactors, biological sciences, and earth observation. These efforts aim to enhance scientific research, operational efficiency, and decision-making processes. ORNL facilities, such as the High Flux Isotope Reactor (HFIR), Grid-C, Spallation Neutron Source (SNS), and Oak Ridge Leadership Computing Facility (OLCF), provide the infrastructure to develop and demonstrate these digital twin technologies. In this document, we lay out key challenges, research gaps, and future opportunities based on our experience with digital twins that aim to serve as useful contributions towards a National Digital Twins R&D Strategic Plan. In the remaining document, we address nine of the thirteen topic areas specified in the RFI.
DOI: 10.2172/2439867
Authors: Anees Al Najjar, Valentine Anantharaj, Dilip Asthagiri, Vittorio Badalassi, Prasanna Balaprakash, Tom Beck, Wesley Brewer, Anthony Cabrera, Jiahao Cheng, Debraj De, Patxi Fernandez-Zelaia, Antigoni Georgiadou, Swarnava Ghosh, Chathika Gunaratne, Cory Hauck, Prashant Jain, Anuj Kapadia, Mariam Kiran, Olivera Kotevska, Dan Lu, Massimiliano Lupo-Pasini, Jason Mayeur, Alexander Melin, Marshall McDonnell, Narasinga Rao Miniskar, Michael Muhlheim, Van Ngo, James Nutaro, Femi Omitaomu, Sarp Oral, Pradeep Ramuhalli, Nageswara Rao, Diego Rosso, Mallikarjun (Arjun) Shankar, Arpan Sircar, Jeremy Smith, Gautam Malviya Thakur, Rama Vasudevan, S. Venkatakrishnan, Kris Villez, Feiyi Wang, Patrick Widener, Ross Wang, Haowen Xu, Guannan Zhang, Neil Zhang, Amirkoushyar Ziabari
Language: English
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4402384095