[HTML][HTML] Autonomous control of heat pipes through digital twins: Application to fission batteries
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 …
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
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 …
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 …
nuclear industry, offering the potential to enhance productivity, safety, and cost …
[HTML][HTML] Machine learning and physics-driven modelling and simulation of multiphase systems
We highlight the work of a multi-university collaborative programme, PREMIERE (PREdictive
Modelling with QuantIfication of UncERtainty for MultiphasE Systems), which is at the …
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
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 …
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
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 …
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
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) …
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
Data assimilation techniques are often confronted with challenges handling complex high
dimensional physical systems, because high precision simulation in 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
Abstract Machine learning-based modeling of reactor physics problems has attracted
increasing interest in recent years. Despite some progress in one-dimensional problems …
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
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 …
domains, and has led to an increasing demand for effective methods to handle data …