arXiv Machine Learning
Two-stage Residual Learning for Modelling Strength-Informed Optimisation of Thermal Systems
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Two-stage Residual Learning for Modelling Strength-Informed Optimisation of Thermal Systems
Aggregate performance metrics do not identify local modelling inaccuracies in machine learning (ML) surrogates used for thermal-system optimisation. This study assesses local modelling strength throug...
arXiv Machine Learning
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Assessment of Machine Learning-Based Critical Heat Flux Models in the CTF Subchannel Code for Square Rod Bundle Prediction
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arXiv AI
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A tale of perfect fit and phantom optima: how data-driven models can fail in real-time optimization
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arXiv Machine Learning
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Aggregation of Published Non-Uniform Axial Power Data for Phase II of the OECD/NEA AI/ML Critical Heat Flux Benchmark
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arXiv Machine Learning
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From Grey-Box to Green-Box: When can Physics-Informed Machine Learning Reduce Carbon Footprints in Structural Health Monitoring?
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arXiv AI
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A Deep Learning-based surrogate model for Severe Accidents in nuclear reactors using ASTEC
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