has been cited by the following article(s):
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[1]
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Machine learning-enabled weather forecasting for real-time radioactive transport and contamination prediction
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Progress in Nuclear Energy,
2024 |
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[2]
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Resilient design in nuclear energy: Critical lessons from a cross-disciplinary analysis of the Fukushima Dai-ichi nuclear accident
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Iscience,
2024 |
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[3]
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Feasibility to Convert the NuScale SMR from UO2 to a Mixed (U, Th) O2 Core: A parametric study of fuel element—seed-blanket concept
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World Journal of Nuclear …,
2023 |
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[4]
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The power of precursors: An empirical assessment of nuclear power risks
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Progress in Nuclear Energy,
2023 |
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[5]
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Solving and reversing the biodiversity crisis requires nuclear power
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Evolutionary Ecology Research,
2023 |
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[6]
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Investigating the potential of nuclear energy in achieving a carbon-free energy future
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Energies,
2023 |
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[7]
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ICP-OES based methodology for determination of critical elements in U3Si2 matrix
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… of Radioanalytical and …,
2022 |
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[8]
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Nuclear fuel from cradle to grave: existing variants and future options for the fuel cycle and resulting waste types
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Nuclear Waste: Management, disposal …,
2022 |
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[9]
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Technology transitions in the electricity and automotive sectors: Embracing political, social, and economic constraints
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2022 |
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[10]
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Nuclear Emergency Response in Industry 4.0: Fukushima Lessons and Gaps to Fill
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2022 |
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[11]
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Precursors and startling lessons: Statistical analysis of 1250 events with safety significance from the civil nuclear sector
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2021 |
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[12]
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Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways
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2021 |
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[1]
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Harnessing nuclear power for sustainable electricity generation and achieving zero emissions
Energy Exploration & Exploitation,
2025
DOI:10.1177/01445987251314504
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[2]
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Machine learning-enabled weather forecasting for real-time radioactive transport and contamination prediction
Progress in Nuclear Energy,
2024
DOI:10.1016/j.pnucene.2024.105255
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[3]
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Resilient design in nuclear energy: Critical lessons from a cross-disciplinary analysis of the Fukushima Dai-ichi nuclear accident
iScience,
2024
DOI:10.1016/j.isci.2024.109485
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[4]
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Investigating the Potential of Nuclear Energy in Achieving a Carbon-Free Energy Future
Energies,
2023
DOI:10.3390/en16093612
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[5]
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The power of precursors: An empirical assessment of nuclear power risks
Progress in Nuclear Energy,
2023
DOI:10.1016/j.pnucene.2023.104878
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[6]
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ICP-OES based methodology for determination of critical elements in U3Si2 matrix
Journal of Radioanalytical and Nuclear Chemistry,
2022
DOI:10.1007/s10967-022-08275-4
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[7]
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Applying risk tolerance and socio-technical dynamics for more realistic energy transition pathways
Applied Energy,
2021
DOI:10.1016/j.apenergy.2021.116751
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[8]
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Precursors and startling lessons: Statistical analysis of 1250 events with safety significance from the civil nuclear sector
Reliability Engineering & System Safety,
2021
DOI:10.1016/j.ress.2021.107820
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