Manufacturing Trade and Connectivity (MTC)

By revealing how a high-performance aerospace alloy deforms under stress, a new computational model creates opportunities to improve its design and broader industrial usage.

A new high-performance lithium-ion battery blends robust energy storage capabilities with flexibility to power the next generation of wearable technologies.

A new high-efficiency computational technique identifies optimal combinations of metals for stable alloys, fast-tracking the discovery process for materials engineers.

A newly developed artificial neuron detects subtle chemical signals produced by brain cells to power advanced brain-machine interfaces.

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 develop a faster, more efficient one-step method to uncover new advanced alloys for additive manufacturing.

Technology for finding non-visual defects in semiconductors leaps forward thanks to an online machine learning algorithm that learns on the fly.

A newly-developed computational platform simulates the complex dynamics of materials melting upon contact with lasers, enabling more robust manufacturing practices.

By working on the next wave of high-resolution liquid crystal projectors, A*STAR researchers pave the way for better virtual reality hardware.

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.