[HTML][HTML] Autonomous control of heat pipes through digital twins: Application to fission batteries

K Wilsdon, J Hansel, MR Kunz, J Browning - Progress in Nuclear Energy, 2023 - Elsevier
Fission batteries are envisioned as nuclear energy systems and associated technology that
can be fully utilized in a battery-like operation, where the system is delivered as a 'plug-and …

An open time-series simulated dataset covering various accidents for nuclear power plants

B Qi, X Xiao, J Liang, LC Po, L Zhang, J Tong - Scientific data, 2022 - nature.com
Nuclear energy plays an important role in global energy supply, especially as a key low-
carbon source of power. However, safe operation is very critical in nuclear power plants …

Advanced manufacturing and digital twin technology for nuclear energy

K Mondal, O Martinez, P Jain - Frontiers in Energy Research, 2024 - frontiersin.org
Advanced manufacturing techniques and digital twin technology are rapidly transforming the
nuclear industry, offering the potential to enhance productivity, safety, and cost …

[HTML][HTML] Machine learning and physics-driven modelling and simulation of multiphase systems

N Basha, R Arcucci, P Angeli, C Anastasiou… - International Journal of …, 2024 - Elsevier
We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …

SAM-ML: Integrating data-driven closure with nuclear system code SAM for improved modeling capability

Y Liu, R Hu, L Zou, D Nunez - Nuclear Engineering and Design, 2022 - Elsevier
Advanced reactors often involve complicated thermal-fluid (TF) phenomena. Modeling such
phenomena with the traditional one-dimensional (1-D) system code is a challenging task …

Development of whole system digital twins for advanced reactors: Leveraging graph neural networks and SAM simulations

Y Liu, F Alsafadi, T Mui, D O'Grady, R Hu - Nuclear Technology, 2024 - Taylor & Francis
In this work, we introduce a novel method to develop whole system digital twins (DTs) for
advanced nuclear reactors. This method treats a complex reactor system as a …

[HTML][HTML] A real-time unmeasured dynamic response prediction for nuclear facility pressure pipeline system

S Oh, H Baek, KH Lee, DS Jang, J Jun… - Nuclear Engineering and …, 2023 - Elsevier
A real-time unmeasured dynamic response prediction process for the nuclear power plant
pressure pipeline is proposed and its performance is tested in the test-loop system (KAERI) …

[HTML][HTML] TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions

S Cheng, J Min, C Liu, R Arcucci - Computer Physics Communications, 2025 - Elsevier
Data assimilation techniques are often confronted with challenges handling complex high
dimensional physical systems, because high precision simulation in complex high …

Physics-constrained neural network for solving discontinuous interface K-eigenvalue problem with application to reactor physics

QH Yang, Y Yang, YT Deng, QL He, HL Gong… - Nuclear Science and …, 2023 - Springer
Abstract Machine learning-based modeling of reactor physics problems has attracted
increasing interest in recent years. Despite some progress in one-dimensional problems …

[HTML][HTML] Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm

J Lever, S Cheng, CQ Casas, C Liu, H Fan… - Journal of …, 2025 - Elsevier
The rapid growth of data-driven applications is ubiquitous across virtually all scientific
domains, and has led to an increasing demand for effective methods to handle data …