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researcher

M. Bonney

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.med-ph1
  • stat.AP1

identity via Semantic Scholar / OpenAlex

most citedUncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

stat.AP2022★ 1 cited

Uncertainty Quantification and Sensitivity analysis for Digital Twin Enabling Technology: Application for BISON Fuel Performance Code

Kazuma Kobayashi, Dinesh Kumar, Matthew Bonney +3

To understand the potential of intelligent confirmatory tools, the U.S. Nuclear Regulatory Committee (NRC) initiated a future-focused research project to assess the regulatory viab…

physics.med-ph2022

Practical Applications of Gaussian Process with Uncertainty Quantification and Sensitivity Analysis for Digital Twin for Accident Tolerant Fuel

Kazuma Kobayashi, Dinesh Kumar, Matthew Bonney +1

The application of digital twin (DT) technology to the nuclear field is one of the challenges in the future development of nuclear energy. Possible applications of DT technology in…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.