Manufacturing Trade and Connectivity (MTC)

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.

A new method to create artificial synapses developed by A*STAR researchers could make neural networks more efficient and less energy-intensive.

In developing a new process to synthesise stable qubits, A*STAR researchers are paving the way toward scalable and practical quantum devices.

Materials scientists unlock novel chemical processes for manufacturing durable cold-resistant alloys.