has been cited by the following article(s):
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[1]
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Utilization of the random forest method for studying some heavy mesons spectra via machine learning technique
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International Journal of …,
2022 |
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[2]
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Calculation of Charmonium Mass Spectrum Within the Fourier Grid Hamiltonian Method
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Egyptian Journal of Physics,
2021 |
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[3]
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A new machine learning approach for predicting the spectra of meson bound states
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2020 |
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[4]
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Υ (4S), Υ (5S) mesons as sources of B-mesons
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SSRG International Journal of Applied Physics,
2020 |
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[5]
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Charmonium Properties
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2020 |
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[6]
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Obtaining subatomic particle sizes from creation-annihilation processes
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2020 |
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[7]
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The spectrum of charmed quarkonium in non-relativistic quark model using matrix Numerov's method
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2020 |
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[8]
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The spectrum of charmed Quarkonioum in non-relativistic quark model using matrix Numerov's method
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2018 |
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[9]
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Reliability of Fourier grid Hamiltonian method to study bottomonium states in non-relativistic model
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International Journal of Scientific and Engineering Research,
2018 |
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[10]
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A study of mesons and glueballs
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2017 |
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[11]
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Variational Constraints of Masses and Radii of cc-Mesons
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Quantum Physics Letters,
2017 |
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[12]
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Variational constraints of masses and radii of cc Mesons
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2017 |
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[13]
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RMS and charge radii in a potential model
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Indian Journal of Physics,
2016 |
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[14]
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Root mean square radii of heavy flavoured mesons in a quantum chromodynamics potential model
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Pramana,
2016 |
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[15]
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Tapashi Das, DK Choudhury &
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Indian J Phys,
2016 |
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[16]
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On the bounds of RMS radii of heavy flavored mesons in a new approach to potential model
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2015 |
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[17]
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Spectra of quark-antiquark bound states via two derived QCD potential
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arXiv preprint arXiv:1502.06569,
2015 |
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[18]
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An improved analysis of bounds on RMS radii of heavy flavored mesons in a QCD potential model
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arXiv preprint arXiv:1505.05634,
2015 |
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[1]
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A novel encoding mechanism for particle physics
Nuclear Science and Techniques,
2024
DOI:10.1007/s41365-024-01537-8
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[2]
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Utilization of the random forest method for studying some heavy mesons spectra via machine learning technique
International Journal of Modern Physics A,
2023
DOI:10.1142/S0217751X22502190
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[3]
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Utilization of the random forest method for studying some heavy mesons spectra via machine learning technique
International Journal of Modern Physics A,
2022
DOI:10.1142/S0217751X22502190
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[4]
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The spectrum of charmed quarkonium in non-relativistic quark model using matrix Numerov’s method
Journal of Radiation Research and Applied Sciences,
2020
DOI:10.1080/16878507.2020.1723949
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[5]
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Charmonium Properties
East European Journal of Physics,
2020
DOI:10.26565/2312-4334-2020-3-04
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[6]
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A new machine learning approach for predicting the spectra of meson bound states
International Journal of Modern Physics E,
2020
DOI:10.1142/S0218301320500925
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[7]
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The spectrum of charmed quarkonium in non-relativistic quark model using matrix Numerov’s method
Journal of Radiation Research and Applied Sciences,
2020
DOI:10.1080/16878507.2020.1723949
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[8]
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RMS and charge radii in a potential model
Indian Journal of Physics,
2016
DOI:10.1007/s12648-016-0866-1
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[9]
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Root mean square radii of heavy flavoured mesons in a quantum chromodynamics potential model
Pramana,
2016
DOI:10.1007/s12043-016-1242-6
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