Latest Articles for Aerospace Engineering

A framework to boost performance in continuous-time reinforcement learning systems.

This study reveals how air flow impacts quadcopter efficiency during hovering.

Study reveals shock wave behavior around circular cylinders at supersonic speeds.

Shock tubes allow scientists to analyze gas behavior under high pressure and temperature.

Learn how scientists estimate fluid motion despite data challenges.

Air taxis and eVTOLs could reshape urban travel by reducing congestion.

Discover how Helmholtz resonators impact turbulent airflows in engineering.

Innovative techniques enhance efficiency in aerospace engineering design processes.

Study reveals how wing shape affects air flow and performance.

This study reveals how surface roughness changes with repeated contact and its implications.

Spiking neural networks improve altitude control in blimps.

Researchers develop new methods to manage supersonic jet behavior using past data.

A new method enhances how we predict airflow over airplane wings.

A look at new materials for hypersonic vehicles and their challenges.

A look into coherent structures and their impact on turbulent flows.

New findings improve hydrogen combustion efficiency and reduce emissions.

A new system streamlines PanAir processes for efficient aircraft analysis.

Exploring the methods to study hypersonic flows and gas-surface interactions.

New methods enhance precision in measuring angular velocity through weak values and recycling techniques.

DroneCAST aims to enhance communication in urban air mobility for drones.

Examining how square plate designs affect airflow and force stability.

Study reveals methods to enhance temperature accuracy during aerospace material testing.

A new method improves control for engine-driven ducted fan lift systems.

Research highlights methods to control flow separation for improved aircraft performance.

New methods improve efficiency and applications of wireless power transfer.

Research highlights improved efficiency in aerospace design through multi-fidelity reduced-order models.

Machine learning techniques enhance the study of gas flow behaviors in extreme conditions.

This study analyzes DSMC and CFD methods for low density gas flows.

This study examines transonic buffet and its effects on aircraft performance.

A study on Shielded Deep Reinforcement Learning for safe spacecraft autonomy.

New methods enhance solving Riccati equations for robust control applications.

Drones are transforming industries through teamwork and advanced manipulation techniques.

Research reveals techniques for improving performance of low-aspect-ratio wings through airflow management.

An integrated approach to study phase transitions with uncertainties and injection boundaries.

New cone-ray model enhances accuracy in flow density visualization.

Examining how computational methods improve understanding of nickel-based superalloys.

CoNFiLD model offers efficient turbulence simulation for fluid dynamics applications.

A new model enhances simulations in fluid dynamics, benefiting multiple industries.

An overview of how scientists study and model turbulence in fluids.

New computational techniques improve gas behavior predictions in aerospace applications.