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Prediction of spallation induced transmutation rates for long-lived fission products via proton accelerator
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  • Published: 12 February 2026

Prediction of spallation induced transmutation rates for long-lived fission products via proton accelerator

  • Grigor Tukharyan1,
  • W. Reed Kendrick1,
  • Jiankai Yu1,
  • Areg Danagoulian1 &
  • …
  • Benoit Forget1 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Chemistry
  • Materials science
  • Physics

Abstract

Long-lived fission products represent a major challenge in nuclear waste management due to persistent radiotoxicity over very long timescales. This study focuses on six of these fission products: Se-79, Zr-93, Tc-99, Sn-126, I-127, Cs-135. This study investigates the feasibility of spallation-driven transmutation, in which a high energy proton beam strikes a heavy spallation target to generate neutrons that induce transmutation in the fission products surrounding the target. Lead and depleted uranium are identified as the principal spallation target candidates, reflecting contrasting trade offs in neutron yield, secondary reactions, and heat generation. Simulations assess nuclide specific behavior under reactor scale inventories and practical geometric constraints. Results demonstrate that technetium, iodine, and selenium are strong candidates for transmutation using this pathway, while tin shows partial resistance but benefits from thermal flux. By contrast, zirconium is inefficient to transmute, and cesium suffers from low net reduction due to competition with lighter isotopes. Cost effectiveness is highly isotope-dependent: technetium is most favorable, whereas cesium and zirconium remain expensive. These findings highlight the advantages and limitations of spallation driven systems and motivate strategies with optimized target–blanket designs.

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Data availability

Data is provided within the manuscript.

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Funding

This work was supported and funded by the DOE ARPA-E Program under the award number DE-AR0001578.

Author information

Authors and Affiliations

  1. Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

    Grigor Tukharyan, W. Reed Kendrick, Jiankai Yu, Areg Danagoulian & Benoit Forget

Authors
  1. Grigor Tukharyan
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  2. W. Reed Kendrick
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  3. Jiankai Yu
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  4. Areg Danagoulian
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  5. Benoit Forget
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Contributions

The idea behind the work was conceived by A.D. and B.F.. G.T. implemented the PHITS analysis and W.R.K. implemented the FISPACT analysis. J.Y. helped prepare scripts for PHITS geometries. A.D. and B.F. advised G.T. and W.R.K. throughout the work. G.T. and W.R.K. analyzed the results. G.T. and W.R.K. wrote the manuscript text, A.D. and B.F. revised the manuscript text.

Corresponding authors

Correspondence to Grigor Tukharyan or W. Reed Kendrick.

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The authors declare no competing interests.

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Tukharyan, G., Kendrick, W.R., Yu, J. et al. Prediction of spallation induced transmutation rates for long-lived fission products via proton accelerator. Sci Rep (2026). https://doi.org/10.1038/s41598-026-38736-9

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  • Received: 01 October 2025

  • Accepted: 30 January 2026

  • Published: 12 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-38736-9

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Keywords

  • Nuclear Waste
  • Spallation
  • Transmutation
  • LLFPs
  • Radiation
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Nuclear waste management and recycling

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