Fedor Buzaev

Evolutionary algorithms can drastically improve the accuracy of Physics-Informed Neural Networks by efficiently navigating the complex hyperparameter landscape.

Hybrid models that blend physics and advanced neural architectures can achieve up to 22% better accuracy in short-term weather forecasting without sacrificing physical realism.