Institute of High Performance Computing (IHPC)

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.

A new machine learning model processes datasets from different sources simultaneously, paving the way for major advancements in medicine and beyond.

Materials science and computational techniques come together to advance new design schemes for aerospace alloys.

Machine learning and computational platforms are helping develop robust protocols for manufacturing an emerging class of strong, super lightweight alloys.

In developing a new process to synthesise stable qubits, A*STAR researchers are paving the way toward scalable and practical quantum devices.

A new mathematical model quickly and reliably predicts the origin of disruptive electromagnetic interference emanating from complex electronic circuits.