Manufacturing Trade and Connectivity (MTC)

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.

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.

Horizontal Technology Programme Offices will bring A*STAR’s deep capabilities to bear on real-world issues facing Singapore and the wider world, says Deputy Chief Executive (Research), Andy Hor.

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.

Leveraging both artificial intelligence and field knowledge may prove to be a superior strategy for predicting machine health.

Self-assembled nanoparticles can stabilize oil-brine emulsions under extreme conditions, paving the way for enhanced oil recovery and other industrial applications.

A highly sensitive biosensor may aid in the production of high-value compounds in microbial cell factories.