De Florio, M., Schiassi, E., Calabrò, F. and Furfaro, R. (2024) Physics-Informed Neural Networks for 2nd Order Odes with Sharp Gradients. Journal of Computational and Applied Mathematics, 436, Article ID: 115396.
https://doi.org/10.1016/j.cam.2023.115396

has been cited by the following article:

• TITLE: Analytic Solutions for Hindered Rotation Quantum Problem

  AUTHORS: Mirco Ragni

  KEYWORDS: Analytics Solutions, Schrodinger Equation, Interaction Potential

  JOURNAL NAME: Applied Mathematics, Vol.15 No.10, October 11, 2024

  ABSTRACT: Normalizable analytic solutions of the quantum rotor problem with divergent potential are presented here as solution of the Schrödinger equation. These solutions, unknown to the literature, represent a mathematical advance in the description of physical phenomena described by the second derivative operator associated with a divergent interaction potential and, being analytical, guarantee the optimal interpretation of such phenomena.