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Deep Neural Operator Driven Real Time Inference for Nuclear Systems to
  Enable Digital Twin Solutions

Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions

15 August 2023
Kazuma Kobayashi
S. B. Alam
    AI4CE
ArXivPDFHTML

Papers citing "Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions"

3 / 3 papers shown
Title
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects
Artificial Intelligence in Reactor Physics: Current Status and Future Prospects
Ruizhi Zhang
Shengfeng Zhu
Kaidi Wang
Ding She
J. Argaud
B. Bouriquet
Qing Li
Helin Gong
AI4CE
49
0
0
04 Mar 2025
AI-driven non-intrusive uncertainty quantification of advanced nuclear
  fuels for digital twin-enabling technology
AI-driven non-intrusive uncertainty quantification of advanced nuclear fuels for digital twin-enabling technology
Kazuma Kobayashi
Dinesh Kumar
S. B. Alam
AI4CE
23
3
0
24 Nov 2022
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer
  Learning with Uncertainty Quantification Incorporated into Digital Twin for
  Nuclear System
Leveraging Industry 4.0 -- Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System
M. Rahman
Abid Khan
Sayeed Anowar
Md. Al Imran
Richa Verma
Dinesh Kumar
Kazuma Kobayashi
S. B. Alam
AI4CE
13
15
0
30 Sep 2022
1