A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech)

A*STAR scientists are developing the next generation of self-sanitizing surfaces by mimicking nanostructures on cicada wings.

By giving algorithms the ability to generalize, researchers are expanding the range of problems that can be tackled with artificial intelligence.

A machine learning method that finds defects or dimensional deviation on 3D-printed surfaces ‘on-the-fly’ is paving the way for smart, fully automated systems.

New research shows that titanium alloys joined by 3D-printed curved interlayers are stronger and less likely to crack.

Floor mats equipped with deep learning could take us one step closer to truly smart homes.

Artificial neural networks are now being used to make 3D-printed metal structures more accurately—and stronger—than ever before.

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

Porous metallic bones designed to be 3D-printed in unusual shapes could be the future of permanent orthopedic implants.

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

By eliminating bottlenecks and automating manual processes, the RESOLUTE test kit and RAVE system co-developed by A*STAR scientists will help give COVID-19 testing a much-needed boost.

A*STAR researchers have discovered that thin-walled metallic parts built via additive manufacturing are weaker than expected, initiating a search for solutions

Researchers are simulating real-world complexity in machine learning models to ensure their safety before they are deployed in the wild.