Urban Solutions and Sustainability (USS)

A new computational model simulates how gas clouds spread from marine vessel fuel leaks, enabling quick and reliable fire and explosion risk assessments.

Researchers develop a new class of recyclable polymer-based nanofibres with exceptional strength and durability.

A novel machine learning model predicts wear and tear in manufacturing parts with less real-world data for cost savings and improved productivity.

Researchers take a deep dive into the current state of the art of iridium-based catalysts for green hydrogen production.

Researchers discover how to extend the lifespan of lithium metal batteries by coating separators with graphene.

Researchers assemble the first guide for making high-quality MXenes – synthetic materials with a wealth of untapped potential in energy storage and other industrial applications.

Researchers tune the distance between atoms in single-atom catalysts, allowing them to speed up complex chemical reactions.

Researchers develop a polymer-based bioelectronic transistor that could power tomorrow’s point-of-care diagnostic devices.

Despite the hype, State-of-the-art machine learning challenges one of the toughest problems in systems biology.

Scalable and cost-effective methods for growing fat cells pose a commercialisation barrier for cultivated meat products.

Researchers create a new recyclable, eco-friendly class of plastics derived from natural sugar molecules to address the plastic waste crisis.

Artificial intelligence could help speed up the discovery and development of materials towards a greener future.