Institute of High Performance Computing (IHPC)

Using novel dual-layered memristor designs, researchers solve processing speed and reliability issues faced by a promising new class of computing devices.

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

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

A hybrid approach that combines classical and quantum computing may be a stepping stone to solving complex, evolving mathematical simulations.

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

Researchers match materials to create a high-efficiency thermoelectric generator that turns waste heat into electricity.

Multidisciplinary efforts across A*STAR are paving the way toward Singapore’s precision medicine vision.

A*STAR researchers develop a first-of-its-kind quantum algorithm that co-opts classical computers to solve complex engineering problems.

A new compression method developed at A*STAR shrinks energy and hardware requirements for complex computational platforms on everyday devices.

A purpose-built machine learning platform takes the guesswork out of catalyst formulations for green energy generation.

A*STAR researchers blend the physics of particle dynamics with complex computational simulations to gauge the risk of catching COVID-19 in different social settings.