Manufacturing Trade and Connectivity (MTC)
Diving into pools of laser-melted metals
31 Jan 2023A newly-developed computational platform simulates the complex dynamics of materials melting upon contact with lasers, enabling more robust manufacturing practices.
How to create crystal clear holograms
25 Jan 2023By working on the next wave of high-resolution liquid crystal projectors, A*STAR researchers pave the way for better virtual reality hardware.
How to get around in a jiffy
19 Jan 2023Researchers have built a navigation algorithm that leverages multidimensional real-world data to map faster and more efficient traffic routes.
A perfect pair to make sparks fly
11 Jan 2023Researchers match materials to create a high-efficiency thermoelectric generator that turns waste heat into electricity.
Ironing out kinks for laser-sharp precision
3 Jan 2023An algorithm inspired by nature guides metal-depositing lasers for faster, more precise component manufacturing.
A new metal binder that’s tough as nails
21 Nov 2022Materials engineers discover a safer and stronger ‘glue’ for 3D printing metal structures.
Making metasurfaces
8 Nov 2022A new hybrid metasurface created by researchers opens doors to exciting new aerospace, defence and biomedical optical applications.
Nanofluids draw more oil from stone
1 Jul 2022A*STAR scientists show how small amounts of nanoparticles can significantly boost crude oil extraction from rocks.
Imaging with computational lenses
17 Jun 2022A modified image processing algorithm, created by A*STAR scientists, paves the way toward super-resolution imaging.
Calculating the end of machine life flexibly
18 May 2022A computational platform designed by A*STAR researchers accurately predicts a machine’s functional lifespan even with limited data.
A modern twist to ancient alloys
6 May 2022Machine learning and computational platforms are helping develop robust protocols for manufacturing an emerging class of strong, super lightweight alloys.
Giving neural networks a power boost
4 May 2022A new method to create artificial synapses developed by A*STAR researchers could make neural networks more efficient and less energy-intensive.