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How Earth’s Sand Dunes Can Take You to Mars? - Varsha Natarajan

Ulster University
2026
Mars
Mars Exploration
Martian Surface
Martian Winds
Martian Sand
Sandstorms
Sand Dunes
Aeolian Processes
planetary science
space exploration
Space Missions
NASA
NASA InSight
InSight Lander
Artemis
Human Spaceflight
Mars missions
Mars Landing
Spacecraft Landing
Space Mission Safety
Planetary Geology
Geomorphology
Sediment Transport
Wind Modelling
computational modelling
computer simulation
satellite data
remote sensing
Martian Terrain
Mars Atmosphere
Mars Climate
Planetary Atmospheres
Dune Migration
Wind Speed
space technology
Aerospace Research
Future Mars Missions
Human Exploration
Mars Colonisation
Earth Analogue Sites

This research investigates how wind transports sand across Mars to improve the safety of future space missions. Combining measurements from Earth-based analogue dunes with computational modelling and NASA satellite data, the approach predicts Martian winds and sandstorms with high accuracy, potentially reducing landing risks and supporting future human exploration of Mars.

 

Turning the Clock Backwards: Towards the Supersonic Future - Gargi Dashora

Florida State University
2026
Supersonic Flight
aerospace engineering
Concorde
Aerodynamics
Aircraft Engines
fluid dynamics
computational modeling
Supercomputing
aviation
Hypersonics
Airflow Simulation
turbulence
Atmospheric Physics
Engine Failure
Computational Fluid Dynamics
CFD
Aerospace Research
aviation safety
Propulsion Systems
High-Speed Flight
Flight Engineering
Mechanical Engineering
Shock Waves
Engine Stability
aircraft design
Atmospheric Conditions
Flow Instability
Aviation Technology
Numerical Simulation
Sonic Boom
Flight Mechanics
Turbine Engines
Fluid Mechanics
High Performance Computing
FSU Supercomputers
Engine Dynamics
Aviation Innovation
sustainable aviation
Aerospace Technology
Supersonic Transport

This research investigates why supersonic aircraft engines fail under turbulent atmospheric conditions. Using high-performance supercomputer simulations, the study models airflow disruptions around supersonic engines to identify early warning signs of instability. The work aims to improve engine reliability and help revive safe, efficient supersonic passenger air travel.

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