Manufacturing Trade and Connectivity (MTC)
A newly-developed computational platform simulates the complex dynamics of materials melting upon contact with lasers, enabling more robust manufacturing practices.
By working on the next wave of high-resolution liquid crystal projectors, A*STAR researchers pave the way for better virtual reality hardware.
Researchers have built a navigation algorithm that leverages multidimensional real-world data to map faster and more efficient traffic routes.
Researchers match materials to create a high-efficiency thermoelectric generator that turns waste heat into electricity.
An algorithm inspired by nature guides metal-depositing lasers for faster, more precise component manufacturing.
Materials engineers discover a safer and stronger ‘glue’ for 3D printing metal structures.
A new hybrid metasurface created by researchers opens doors to exciting new aerospace, defence and biomedical optical applications.
A*STAR scientists show how small amounts of nanoparticles can significantly boost crude oil extraction from rocks.
A modified image processing algorithm, created by A*STAR scientists, paves the way toward super-resolution imaging.
A computational platform designed by A*STAR researchers accurately predicts a machine’s functional lifespan even with limited data.
Machine learning and computational platforms are helping develop robust protocols for manufacturing an emerging class of strong, super lightweight alloys.