Keeping long-term climate simulations stable and accurate with a new AI approach

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
IEEE

An Empirical Model Informed Neural Network Core Loss Predictor for Soft Magnetic Materials

Abstract: Advancements in materials, improved modeling, and optimized design of power magnetic components are imperative to push the efficiency and power density bounds of power electronic converters.
IEEE

Ensemble Bidirectional Long Short-Term Memory Network Identification for Nonlinear Autoregressive Exogenous Model: Application to Dual Double-Acting Piston Pump

Abstract: System identification is essential for modeling and control of nonlinear dynamic systems. In practice, traditional linear or unidirectional recurrent models often fail to capture the ...