A newly-developed computational platform simulates the complex dynamics of materials melting upon contact with lasers, enabling more robust manufacturing practices.
A*STAR researchers blend the physics of particle dynamics with complex computational simulations to gauge the risk of catching COVID-19 in different social settings.
Computational models show that there’s much more to COVID-19 transmission than the airborne-or-droplet binary.
Factoring in the conservation of mass makes simulations of two-phase flows more stable and accurate.
A simple fluid dynamics model accurately
predicts how bubbles impact on solid surfaces
An expression for droplet deformation promises to simplify calculations for a wide range of applications
A new computational scheme enables more stable simulations of shockwaves in fluids and may be scalable for large engineering designs