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Issue: Tập 23, Số 1 (2026)
Section: Articles
DOI: 10.54607/hcmue.js.23.1.5093(2026)
Date Published: 31/01/2026
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Nguyen, T. D., Tran, V. T. A., Vo, D. T. T., Tran, T. N., Huynh, D. C., Hoang, T. K. T., & Hoang, D. T. (2026). DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK MODEL FOR RAPID DETERMINATION OF NAOH SOLUTION CONCENTRATION USING THE TRANSMISSION SPECTRUM OF LOW-ENERGY GAMMA RAYS AT 59.54 KEV. Ho Chi Minh City University of Education Journal of Science, 23(1), 150-162. https://doi.org/10.54607/hcmue.js.23.1.5093(2026)

DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK MODEL FOR RAPID DETERMINATION OF NAOH SOLUTION CONCENTRATION USING THE TRANSMISSION SPECTRUM OF LOW-ENERGY GAMMA RAYS AT 59.54 KEV

Nguyen Thanh Dat1, , Tran Vu Thien An1, Vo Diep Trung Tin1, Tran Trung Nguyen1, Huynh Dinh Chuong2, Hoang Thi Kieu Trang2, Hoang Duc Tam1
1 Ho Chi Minh City University of Education, Vietnam
2 University of Science, Vietnam National University Ho Chi Minh City, Vietnam

Main Article Content

Abstract

This study proposes a new approach for rapidly determining the concentration of NaOH solutions by measuring the attenuation of a low-energy 59.54 keV γ-ray beam emitted from a 241Am source and using an artificial neural network (ANN) trained directly on raw spectra. First, Monte Carlo simulations configured are used to generate spectral data. Then these spectral data are directly extracted to train and optimize an ANN model. The predictive performance of the optimized network is benchmarked against a conventional calibration curve that relates the transmission ratio (ln R) between water and NaOH solutions to their concentrations. The obtained results show that the ANN model achieves an average deviation of less than 2.8% from reference concentrations across the tested range, whereas the calibration curve yields deviations above 6.0%. In the low-concentration region (C = 5.0%), the ANN achieves a 2.5% deviation, markedly better than the approximately 12.6% deviation of the calibration curve. The findings suggest that integrating low-energy γ-ray transmission measurements with an ANN model offers a promising methodology for high-precision monitoring of alkaline solutions.

Keywords

gamma transmission, Monte Carlo simulation, MLP-ANN, NaOH, concentration

Article Details

References

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