# Cornell Potential: A Neural Network Approach

## TL;DR

This paper introduces a neural network method to solve the Schrödinger equation with Cornell potential, successfully calculating spectra for charmonium and bottomonium, and demonstrating good agreement with existing studies.

## Contribution

It presents a novel neural network approach to solving the Schrödinger equation with multiple forms of Cornell potential, including spectral calculations for quarkonium states.

## Key findings

- Results agree well with reference studies
- Successfully computed charmonium and bottomonium spectra
- Applied four types of Cornell potential without physical relevance

## Abstract

In this study, we solved Schr\"odinger equation with Cornell potential (Coulomb-plus-linear potential) by using neural network approach. Four different types of Cornell potential were used without a physical relevance. Besides that charmonium and bottomonium spin-averaged spectra were also calculated. Obtained results are in good agreement with the reference studies.