A*STAR Institute of High Performance Computing (A*STAR IHPC)

An integrated simulation model provides a clearer picture of what happens when a water droplet comes in contact with a hydrophobic surface.

By breaking complex actions into their basic components, researchers have developed a versatile framework that enables robots to learn from human demonstrators.

Lockdown measures not only reduced the number of COVID-19 cases but also resulted in a temporary improvement in air quality, study finds.

A simple switch from a non-polar binder to a polar one could make sodium-sulfur batteries safer and more efficient.

A*STAR is poised to contribute towards Singapore’s Research, Innovation and Enterprise 2025 plan across all four strategic domains.

Plant-based ionizers are surprisingly effective at removing aerosols and could play an important role in preventing COVID-19 transmission.

A semi-batch approach to making acrylics could bring us one step closer to more planet-friendly plastics.

Computational models show that there’s much more to COVID-19 transmission than the airborne-or-droplet binary.

Natural imperfections trigger a Kondo effect in 2D materials that bring their thermoelectric performance to new heights.

A high-throughput screening method could significantly shorten the discovery cycle for new thermoelectric materials.

A new deep learning method increases the accuracy and range of applications for computer vision platforms.

A promising new computational model can recreate clean images out of hazy ones.