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

Embedding chemical impurities into zinc-ion batteries boosts their performance and prolongs battery life.

Machine learning and artificial intelligence have the power to transform chemical research, says A*STAR National Science Scholar Jacqueline Tan.

From advanced materials to atomic super sensors, A*STAR scientists are harnessing the power of quantum to the fullest, ushering in the next generation of trailblazing technologies.

This first-of-its-kind integrated avalanche photodetector for visible light lays the foundation for next-generation innovations in imaging and communications.

Compact nanochain waveguides that can efficiently transmit infrared light and even slow light down to a fraction of its usual speed could take photonics mainstream.

Quantifying where and when communities use dockless bike-share systems could help operators and urban planners design more biking-friendly cities.

This two-step outbreak detection framework could give early warnings of dengue outbreaks, improving Singapore’s ability to control the disease.

Mixing tin into germanium telluride creates a high-performance thermoelectric material that could make energy harvesting or cooling devices more effective.

A*STAR researchers have developed a compact on-chip laser using a nanoantenna chain as an optical resonator.

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.