Nuclear physicist working in reactor physics, neutronics, activation analysis and computational methods for nuclear engineering.

Currently: Validation and Verification Group, Applied Radiation Technology
United Kingdom Atomic Energy Authority (UKAEA), Culham, UK

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Research Interests

• Reactor physics and neutronics
• Nuclear fuel management optimization
• Evolutionary algorithms in nuclear engineering
• Machine learning applications for reactor analysis
• Activation and radiation transport calculations
• Monte Carlo methods (MCNP, Serpent2, OpenMC)

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Publications

Journal Articles

• Optimization of the cost and efficiency of Mo-99 production in the MARIA reactor
  Kubinski, W.; Prokopowicz, R.
  Nuclear Engineering and Design 454, 114926 (2026)

• Prediction of the evolution of the nuclear reactor core parameters using artificial neural network
  Palmi, K.; Kubinski, W.; Darnowski, P.
  Annals of Nuclear Energy 211, 110891 (2025)

• Shannon Entropy Analysis of a Nuclear Fuel Pin Under Deep Burnup
  Kubiński, W.R.; Ostrowski, J.K.; Fornalski, K.W.
  Entropy 26(12), 1124 (2024)

• Probabilistic radwaste characterization: Findings of a multi-method multi-mockup exercise using interpolation-based surrogate efficiencies
  Laloy, E.; Rogiers, B.; Bielen, A.; Borella, A.; Kubiński, W.; et al.
  Annals of Nuclear Energy 194, 110065 (2023)

• Optimization of the loading pattern of the PWR core using genetic algorithms and multi-purpose fitness function
  Kubiński, W.; Darnowski, P.; Chęć, K.
  Nukleonika 66 (2021)

• Application of genetic algorithms in optimization of SFR nuclear reactor design
  Żurkowski, W.; Sawicki, P.; Kubiński, W.; Darnowski, P.
  Nukleonika 66 (2021)

• The development of a novel adaptive genetic algorithm for the optimization of fuel cycle length
  Kubiński, W.; Darnowski, P.; Chęć, K.
  Annals of Nuclear Energy 155, 108153 (2021)

• MARIA reactor irradiation technology capabilities towards advanced applications
  Migdal, M.; Balcer, E.; Bartosik, Ł.; et al.
  Energies 14(23), 8153 (2021)

• Application of Artificial Neural Network and Particle Swarm Optimization in determining selected parameters of the nuclear reactor core
  Kubiński, W.; Bojarski, P.; Darnowski, P.
  Gates Open Research (2021)

Conference Proceedings

• Optimisation of Irradiation Schemes for Radioisotope Production in the MARIA Reactor
  Kubinski, W.; Prokopowicz, R.
  PHYSOR 2026 Proceedings (2026)

• Parallel Simulated Annealing, Genetic Algorithms and Hybrid Method Applied to the Multiobjective Optimization of the Nuclear In-Core Fuel Management
  Kubiński, W.; Giorgi, G.; Segond, M.
  PHYSOR 2024 Proceedings (2024)

• Prediction of nuclear reactor core parameters using artificial neural network
  Kubinski, W.; Darnowski, P.; Palmi, K.
  PHYSOR 2022 Proceedings (2022)

• Development of the MATLAB Tool for Optimization of the Nuclear Hybrid Energy System Dedicated for Hydrogen Production
  Darnowski, P.; Kubiński, W.
  NENE 2022 (2022)

• Optimization of BEAVRS PWR Loading Pattern Using a Novel Genetic Algorithm Based on Population Variance Control
  Kubiński, W.; Darnowski, P.; Chęć, K.
  Nuclear Energy for New Europe (2020)

• Calorimetric non-destructive assay of large volume and heterogeneous radioactive waste drums
  Kubinski, W.R.; Carasco, C.; Kikola, D.; et al.
  EPJ Web of Conferences 225, 6003 (2020)

• Radiation Leakage and the Precision of Characterizing Nuclear Material Using Calorimetric Assay-19233
  Kubinski, W.R.; Kikola, D.; Tefelski, D.; et al.
  WM Symposia Proceedings (2019)

More on Google Scholar Profile

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Oral Presentations

• Optimisation of Irradiation Schemes for Radioisotope Production in the MARIA Reactor
  PHYSOR Conference, Turin, Italy (2026)

• Parallel Simulated Annealing, Genetic Algorithms, and Hybrid Method Applied to the Multiobjective Optimization of the Nuclear In-Core Fuel Management
  PHYSOR Conference, San Francisco, USA (2024)

• Prediction of Nuclear Reactor Core Parameters Using Artificial Neural Network
  PHYSOR Conference, Pittsburgh, USA (May 2022)

• Application of the Artificial Neural Network for Determining the Parameters of the PWR Reactor
  RDPE, Warsaw, Poland (December 2021)

• Application of the Artificial Neural Network and Particle Swarm Optimization in Determining Selected Parameters of the Nuclear Reactor Core
  European Nuclear Young Generation Forum (ENYGF), Tarragona, Spain (September 2021)

• Application of an Artificial Neural Network to Support the Design of the PWR Reactor Core Configuration
  Nuclear Energy for New Europe (NENE), Portorož, Slovenia (September 2021)

• Optimization of the Loading Pattern of the PWR Reactor Core Using Genetic Algorithms and Multi-Purpose Fitness Function
  NuTech, Warsaw, Poland (October 2020)

• Uncertainty of radioactive waste characterization using calorimetry combined with gamma spectrometry — numerical case study (Poster)
  Nuclear Energy for New Europe (NENE), Portorož, Slovenia (September 2020)

• Optimization of BEAVRS PWR Loading Pattern Using a Novel Genetic Algorithm Based on Population Variance Control
  Nuclear Energy for New Europe (NENE), Portorož, Slovenia (September 2020)

• Calorimetric Non-Destructive Assay of Large Volume and Heterogeneous Radioactive Waste Drums
  ANIMMA Conference, Portorož, Slovenia (June 2019)

• Modelling of the CHANCE calorimeter and some general thoughts about NDA uncertainty quantification
  CHANCE Topical Day, Mechelen, Belgium (March 2019)

• Radiation Leakage and the Precision of Characterizing Nuclear Material Using Calorimetric Assay
  Waste Management Symposium, Phoenix, USA (March 2019)

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Projects

• Assessment of the Physical Consistency of Artificial Intelligence Models in Nuclear Science Using OECD NEA Benchmark Data (MINIATURA 10, Polish National Science Centre), 2026
  Principal Investigator

• Application of Machine Learning Method for the Optimization of a PWR reactor core campaign, BEYOND POB II (IDUB programme, grant no. 1820/370/Z01/2022), 2022–2023
  Principal Investigator

• CHANCE (Characterisation of Conditioned Nuclear Waste for its Safe Disposal in Europe, Horizon 2020, grant no. 755371), 2017–2022
  Investigator

• PUMA (antiProton Unstable Matter Annihilation, ERC, grant no. 726276), 2019
  Investigator (internship)

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Peer Review Activities

Reviewer for:

• Progress in Nuclear Energy
• Annals of Nuclear Energy
• Nuclear Science and Engineering
• Energies
• Nuclear Technology
• Nuclear Science and Technology
• International Journal of Advanced Nuclear Reactor Design and Technology

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Contact

Email: w.r.kubinski@gmail.com