Manufacturing Trade and Connectivity (MTC)
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.
An algorithm inspired by nature guides metal-depositing lasers for faster, more precise component manufacturing.