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Neural network approaches for solving Schrödinger equation in arbitrary quantum wells
In this work we approach the Schrödinger equation in quantum wells with arbitrary potentials, using the machine learning technique. Two neural networks with different architectures are proposed and trained using a set of potentials, energies, and wave functions previously generated with the classica...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847422/ https://www.ncbi.nlm.nih.gov/pubmed/35169213 http://dx.doi.org/10.1038/s41598-022-06442-x |