Manufacturing Trade and Connectivity (MTC)

Adjustments to a key chemical reaction could improve the selective production of mirror-image molecules with differing properties for better chemical design.

A new molecular modification helps a class of light-emitting materials capture lost radiation energy, boosting their efficiency as X-ray detectors.

Through machine learning-aided design, A*STAR scientists discover new additives to suppress hazardous metal deposits in high-performance lithium metal batteries.

A simple yet effective solid-state design for acidic electrolysers solves a dilemma in atmospheric carbon conversion for industrial use.

Simple tweaks in the microstructure of 3D-printed aluminium alloys add exceptional mechanical and thermal properties for semiconductor and aerospace applications.

A detailed look at a tungsten-based semiconductor reveals how the spacing of surface defects can improve the material’s stability in atmospheric conditions.

The discovery of a 2D material with electrically-tuneable light-bending properties could lead to more compact and efficient optical components in future electronics.

A new AI-driven computational pipeline paired with rigorous lab-based testing accelerates the discovery of novel molecules for efficient organic solar cells.

Understanding how microscopic voids grow and merge under stress helps predict material failure, improving safety in industries such as aerospace.

Advanced computer simulations make designing stronger metal alloys more efficient by revealing how their microscopic structure affects performance.

A new semiconductor production method lays out insulating layers with an atomic-level smoothness that boosts their efficiency in next-generation nanoelectronics.

A new cost-effective electrochemical method to create single-atom catalysts could provide a boost for future battery technologies.