Cornell Potential: A Neural Network Approach
We solved Schrödinger equation with Cornell potential (Coulomb-plus-linear potential) by using neural network approach. Four different cases of Cornell potential for different potential parameters were used without a physical relevance. Besides that charmonium, bottomonium and bottom-charmed spin-av...
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| Format: | Article |
| Language: | English |
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Wiley
2019-01-01
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| Series: | Advances in High Energy Physics |
| Online Access: | http://dx.doi.org/10.1155/2019/3105373 |
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| _version_ | 1832549573414879232 |
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| author | Halil Mutuk |
| author_facet | Halil Mutuk |
| author_sort | Halil Mutuk |
| collection | DOAJ |
| description | We solved Schrödinger equation with Cornell potential (Coulomb-plus-linear potential) by using neural network approach. Four different cases of Cornell potential for different potential parameters were used without a physical relevance. Besides that charmonium, bottomonium and bottom-charmed spin-averaged spectra were also calculated. Obtained results are in good agreement with the reference studies and available experimental data. |
| format | Article |
| id | doaj-art-4aba94f96f8c46a6af7529cf02826ff3 |
| institution | Kabale University |
| issn | 1687-7357 1687-7365 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in High Energy Physics |
| spelling | doaj-art-4aba94f96f8c46a6af7529cf02826ff32025-02-03T06:10:58ZengWileyAdvances in High Energy Physics1687-73571687-73652019-01-01201910.1155/2019/31053733105373Cornell Potential: A Neural Network ApproachHalil Mutuk0Physics Department, Faculty of Arts and Sciences, Ondokuz Mayis University, 55200 Samsun, TurkeyWe solved Schrödinger equation with Cornell potential (Coulomb-plus-linear potential) by using neural network approach. Four different cases of Cornell potential for different potential parameters were used without a physical relevance. Besides that charmonium, bottomonium and bottom-charmed spin-averaged spectra were also calculated. Obtained results are in good agreement with the reference studies and available experimental data.http://dx.doi.org/10.1155/2019/3105373 |
| spellingShingle | Halil Mutuk Cornell Potential: A Neural Network Approach Advances in High Energy Physics |
| title | Cornell Potential: A Neural Network Approach |
| title_full | Cornell Potential: A Neural Network Approach |
| title_fullStr | Cornell Potential: A Neural Network Approach |
| title_full_unstemmed | Cornell Potential: A Neural Network Approach |
| title_short | Cornell Potential: A Neural Network Approach |
| title_sort | cornell potential a neural network approach |
| url | http://dx.doi.org/10.1155/2019/3105373 |
| work_keys_str_mv | AT halilmutuk cornellpotentialaneuralnetworkapproach |