MCNP&lt;sup&gt;®&lt;/sup&gt; Code V.6.3.0 Release Notes

Rising, Michael Evan; Armstrong, James C.; Bolding, Simon R.; Brown, Forrest B.; Bull, Jeffrey S.; Burke, Timothy P.; Clark, Alexander Rich; Dixon, David; Forster, Robert; Giron, Jesse F.; Grieve, Tristan; Hughes, H.G.; Josey, Colin; A., Kulesza, Joel; Martz, Roger L.; McCartney, Austin Paul; McKinney, G.W.; Mosher, Scott W.; Pearson, Eric; Solomon, Clell J.; Swaminarayan, Sriram; Sweezy, Jeremy; Wilson, S. R.; Zukaitis, Anthony J.

doi:10.2172/1909545

Cited by 8 publications

(3 citation statements)

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“…The output results are evaluated through nuclear data libraries, taking account of low-energy interaction probabilities [76]. The last version, called MCNP6, is clearly described by Rising et al [77]. The code considers new neutron-induced fission systems and isotopes like 240,242 Pu and 252 Cf.…”

Section: Mcpnx Codementioning

confidence: 99%

Recent Advances and Challenges in Polymer-Based Materials for Space Radiation Shielding

Toto,

Lambertini,

Laurenzi

et al. 2024

Polymers

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Space exploration requires the use of suitable materials to protect astronauts and structures from the hazardous effects of radiation, in particular, ionizing radiation, which is ubiquitous in the hostile space environment. In this scenario, polymer-based materials and composites play a crucial role in achieving effective radiation shielding while providing low-weight and tailored mechanical properties to spacecraft components. This work provides an overview of the latest developments and challenges in polymer-based materials designed for radiation-shielding applications in space. Recent advances in terms of both experimental and numerical studies are discussed. Different approaches to enhancing the radiation-shielding performance are reported, such as integrating various types of nanofillers within polymer matrices and optimizing the materials design. Furthermore, this review explores the challenges in developing multifunctional materials that are able to provide radiation protection. By summarizing the state-of-the-art research and identifying emerging trends, this review aims to contribute to the ongoing efforts to identify polymer materials and composites that are most useful to protect human health and spacecraft performance in the harsh radiation conditions that are typically found during missions in space.

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Section: Mcpnx Codementioning

confidence: 99%

Recent Advances and Challenges in Polymer-Based Materials for Space Radiation Shielding

Toto,

Lambertini,

Laurenzi

et al. 2024

Polymers

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“…Monte Carlo (MC) simulation is a powerful method for modeling the behavior of particles in various physical systems, including electron-solid interactions [21][22][23]25,26]. Some software packages have been specifically developed for this purpose, such as Geant4 [27] and Monte Carlo N-Particle Transport Codes (MCNP) [28]. These packages provide libraries and tools for defining complex material geometries, specifying interaction physics, and performing detailed particle transport and interaction simulations.…”

Section: Monte Carlo Simulationsmentioning

confidence: 99%

Electron Energy-Loss Spectroscopy Method for Thin-Film Thickness Calculations with a Low Incident Energy Electron Beam

Jaber,

Alsoud,

Al-Bashaish

et al. 2024

Technologies

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In this study, the thickness of a thin film (tc) at a low primary electron energy of less than or equal to 10 keV was calculated using electron energy-loss spectroscopy. This method uses the ratio of the intensity of the transmitted background spectrum to the intensity of the transmission electrons with zero-loss energy (elastic) in the presence of an accurate average inelastic free path length (λ). The Monte Carlo model was used to simulate the interaction between the electron beam and the tested thin films. The total background of the transmitted electrons is considered to be the electron transmitting the film with an energy above 50 eV to eliminate the effect of the secondary electrons. The method was used at low primary electron energy to measure the thickness (t) of C, Si, Cr, Cu, Ag, and Au films below 12 nm. For the C and Si films, the accuracy of the thickness calculation increased as the energy of the primary electrons and thickness of the film increased. However, for heavy elements, the accuracy of the film thickness calculations increased as the primary electron energy increased and the film thickness decreased. High accuracy (with 2% uncertainty) in the measurement of C and Si thin films was observed at large thicknesses and 10 keV, where . However, in the case of heavy-element films, the highest accuracy (with an uncertainty below 8%) was found for thin thicknesses and 10 keV, where . The present results show that an accurate film thickness measurement can be obtained at primary electron energy equal to or less than 10 keV and a ratio of . This method demonstrates the potential of low-loss electron energy-loss spectroscopy in transmission electron microscopy as a fast and straightforward method for determining the thin-film thickness of the material under investigation at low primary electron energies.

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“…Many traditionally developed neutron-transport codes are export-controlled (e.g. MCNP (Rising et al, 2023), Shift (Hamilton & Evans, 2019), and MCATK (Adams et al, 2015)) and some are known to be difficult to install, use, and develop in. MC/DC is open-source, and thus, similar to other open-source Monte Carlo neutron-transport codes (e.g., OpenMC (Romano et al, 2015)), it promotes knowledge sharing, collaboration, and inclusive, community-driven development.…”

Section: Statement Of Needmentioning

confidence: 99%

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

Morgan,

Variansyah,

Pasmann

et al. 2024

JOSS

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MCNP<sup>®</sup> Code V.6.3.0 Release Notes

Cited by 8 publications

References 0 publications

Recent Advances and Challenges in Polymer-Based Materials for Space Radiation Shielding

Recent Advances and Challenges in Polymer-Based Materials for Space Radiation Shielding

Electron Energy-Loss Spectroscopy Method for Thin-Film Thickness Calculations with a Low Incident Energy Electron Beam

Monte Carlo / Dynamic Code (MC/DC): An accelerated Python package for fully transient neutron transport and rapid methods development

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