Physics-informed neural networks for predicting ultrashort optical pulse dynamics in nonlinear fiber systems

Key Points

• Nonlinear fiber systems exhibit complex dynamics, and predictions using neural networks show significant accuracy.
• Optical pulse behavior was measured over varying parameters, with predictions reaching a high precision of 95%.
• Analysis using physics-informed neural networks demonstrated enhancements in modeling efficiency and accuracy for pulse dynamics.
• Findings may enable better designs and applications in telecommunications and information processing.