Robust state estimation from partial out-core measurements with Shallow Recurrent Decoder for nuclear reactors

Stefano Riva

doi:10.1016/j.pnucene.2025.105928

Robust state estimation from partial out-core measurements with Shallow Recurrent Decoder for nuclear reactors

2025-07-26

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DOI：10.1016/j.pnucene.2025.105928

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Abstract

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• Real-time state estimation of nuclear reactors using machine learning. • State reconstruction from partial out-core measurements. • Low training cost and uncertainty quantification enhance real-world applicability. • Shallow Recurrent Decoder networks enable robust monitoring and control for nuclear reactor digital twins.

Keywords:

State reconstruction

Partial observations

Nuclear reactors

Machine learning

SHRED

Monitoring and uncertainty quantification

Robust state estimation from partial out-core measurements with Shallow Recurrent Decoder for nuclear reactors

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