An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics

Research article (Annals of Nuclear Energy, 2022) · cited 70× · AI/ML
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An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics

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An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-digital-twin-based-on-machine-learning-svd-autoencoder-and-generalised-latent-assimilation-for-nuclear-reac
MLA “An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-digital-twin-based-on-machine-learning-svd-autoencoder-and-generalised-latent-assimilation-for-nuclear-reac.
BibTeX @misc{4ortxyz_an-efficient-digital-twin-based-on-machine-learning-svd-autoencoder-and-generalised-latent-assimilation-for-nuclear-reac_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient digital twin based on machine learning SVD autoencoder and generalised latent assimilation for nuclear reactor physics}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-digital-twin-based-on-machine-learning-svd-autoencoder-and-generalised-latent-assimilation-for-nuclear-reac}, note = {Accessed: 2026-05-24}}
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