Addressing the Non-perturbative Regime of the Quantum Anharmonic
Oscillator by Physics-Informed Neural Networks
Addressing the Non-perturbative Regime of the Quantum Anharmonic
Oscillator by Physics-Informed Neural Networks
The use of deep learning in physical sciences has recently boosted the ability of researchers to tackle physical systems where little or no analytical insight is available. Recently, the Physics-Informed Neural Networks (PINNs) have been introduced as one of the most promising tools to solve systems of differential equations guided …