A Novel Integrated Approach for Chemical Structure Elucidation Using SEM, EDS, and Monte Carlo Simulations

A composition-informed multimodal analytical framework is presented that integrates scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), gamma-ray spectrometry, and Monte Carlo N-particle (MCNP-5) simulations for the comprehensive chemical and structural characterization of inorganic and nuclear-relevant materials. SEM provides detailed microstructural information, while EDS delivers experimentally resolved elemental compositions that are embedded into MCNP-5 photon-transport models. Mass attenuation coefficients and full-energy peak efficiencies were evaluated at photon energies of 661.7 keV, 1173.2 keV, and 1332.5 keV.The MCNP-5 results exhibited excellent agreement with XCOM theoretical predictions, with deviations confined within 2% to 5% across low-, medium-, and high-Z materials. The framework successfully discriminated between chemically similar salts, hydrated and anhydrous phases, and cadmium- and uranium-bearing compounds, with concentrations ranging from 60.41 to 88.15 mass %. By coupling the microstructural characterization with composition-informed radiation-transport modeling, the proposed methodology provides a robust, nondestructive, and predictive tool for material identification, with direct applicability to nuclear forensics, safeguards verification, and radiochemical analysis.

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Publication Details

Journal
Nuclear Science and Engineering
Published
2026-08-03
DOI
https://doi.org/10.1080/00295639.2026.2706872
Primary Topic
Electron and X-Ray Spectroscopy Techniques
Type
article
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article

A Novel Integrated Approach for Chemical Structure Elucidation Using SEM, EDS, and Monte Carlo Simulations

M.H. Hazzaa, K. Abd El Gawad, S. E. Shaban
Nuclear Science and Engineering
Electron and X-Ray Spectroscopy Techniques
article

A Novel Integrated Approach for Chemical Structure Elucidation Using SEM, EDS, and Monte Carlo Simulations

M.H. Hazzaa, K. Abd El Gawad, S. E. Shaban
article en

Abstract

A composition-informed multimodal analytical framework is presented that integrates scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), gamma-ray spectrometry, and Monte Carlo N-particle (MCNP-5) simulations for the comprehensive chemical and structural characterization of inorganic and nuclear-relevant materials. SEM provides detailed microstructural information, while EDS delivers experimentally resolved elemental compositions that are embedded into MCNP-5 photon-transport models. Mass attenuation coefficients and full-energy peak efficiencies were evaluated at photon energies of 661.7 keV, 1173.2 keV, and 1332.5 keV.The MCNP-5 results exhibited excellent agreement with XCOM theoretical predictions, with deviations confined within 2% to 5% across low-, medium-, and high-Z materials. The framework successfully discriminated between chemically similar salts, hydrated and anhydrous phases, and cadmium- and uranium-bearing compounds, with concentrations ranging from 60.41 to 88.15 mass %. By coupling the microstructural characterization with composition-informed radiation-transport modeling, the proposed methodology provides a robust, nondestructive, and predictive tool for material identification, with direct applicability to nuclear forensics, safeguards verification, and radiochemical analysis.

Nuclear Science and Engineering
Egyptian Atomic Energy Authority (EG)
Openalex Percentile: Top 22%
Electron and X-Ray Spectroscopy Techniques
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