Urban Solutions and Sustainability (USS)
A sweet solution for plant-based plastics
10 Feb 2023Researchers create a new recyclable, eco-friendly class of plastics derived from natural sugar molecules to address the plastic waste crisis.
AI in the clean energy game plan
6 Feb 2023Artificial intelligence could help speed up the discovery and development of materials towards a greener future.
Breathing new life into e-waste
20 Dec 2022Researchers identify an easy-to-recycle plastic alternative for use in electronics, making strides towards a circular economy.
Giving handheld devices a computing edge
13 Dec 2022A new compression method developed at A*STAR shrinks energy and hardware requirements for complex computational platforms on everyday devices.
The catalyst cookbook
6 Dec 2022A purpose-built machine learning platform takes the guesswork out of catalyst formulations for green energy generation.
Coconut-based plastics for a greener Singapore
3 Oct 2022A*STAR scientists develop a process for transforming coconut waste into strong and biodegradable bioplastics.
Ultrafast heating sparks high-performing catalysts
2 Sep 2022Researchers developed a new technique for manufacturing powerful and versatile synthetic catalysts.
Machine learning helps ultra-strong alloys take off
25 Aug 2022Materials science and computational techniques come together to advance new design schemes for aerospace alloys.
Bacteria turn nature’s rainbow into therapeutics
25 Jul 2022A new bacterial platform makes plant-derived pigments more soluble, overcoming long-standing issues around their use in pharmaceuticals.
Plastic-eating superworms for a zero-waste future
13 Jun 2022A*STAR scientists lay the foundations for a circular economy using worms that turn plastics into fertiliser.
What’s the best way to reuse an N95 mask?
24 May 2022By identifying the best way to decontaminate N95 masks, A*STAR scientists are helping solve the environmental consequences of disposable masks.
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.