A5055120981- Thermal Radiation and Cooling Technologies
- Tropical and Extratropical Cyclones Research
- Model Reduction and Neural Networks
- Advanced Thermodynamics and Statistical Mechanics
- Coastal and Marine Dynamics
- Ocean Waves and Remote Sensing
- Fluid Dynamics and Turbulent Flows
- Aerospace and Aviation Technology
- Quantum Electrodynamics and Casimir Effect
Nanchang University
2021
The precise identification of aerodynamic parameters for aircraft is increasingly critical in design endeavors, particularly furnishing accurate dynamic models ground and flight simulation. To mitigate the dependence on traditional methods that rely heavily models, this work introduces an methodology based Physics-informed Neural Networks (PINNs). By utilizing six degrees freedom motion equation as physical constraint with neural network, to be identified network variables, model trained...
Abstract We study the local stability near maximum figure of merit for low-dissipation cyclic refrigerator, where irreversible dissipation occurs not only in thermal contacts but also adiabatic strokes. find that bounds coefficient performance at a or cooling rate presence internal are identical to those corresponding absence dissipation. Using two different scenarios, we prove existence single stable steady state and clarify role on thermodynamic state, showing speed system evolution decreases due