Simulation-based machine learning for optoelectronic device design: perspectives, problems, and prospects

Numerical simulation and machine learning represent opposite approaches to computational analysis of the real world, deductive vs. inductive. However, both methods suffer from various uncertainties even their combination often fails link theory reality. Focusing on GaN-based light-emitting diode (LED) design optimization, this paper evaluates examples simulation-based a physics point view. Strategies are suggested for achieving more realistic predictions.