A*STAR Institute of High Performance Computing (A*STAR IHPC)

A*STAR scientists use advanced computer models to create a massive database of natural products for drug discovery and beyond.

In a medicinal chemistry breakthrough, scientists develop a precise and efficient method of creating chiral sulfones for safe and effective medicines.

New high-resolution chemical insights reveal novel opportunities for making plastic production greener, more cost-effective and more efficient.

A confluence of computational modelling and machine learning helps researchers overcome barriers to complex alloy design.

Through close collaborations across scientific disciplines, A*STAR drives new discoveries in neurometabolism and its potential therapeutic applications.

Subtle molecular differences in nickel-based electrocatalysts can open the path to more efficient water-splitting chemical reactions for clean energy generation.

Researchers use computer simulations to uncover novel atomic configurations of layered materials used in electronics and energy storage.

A surge in Singapore’s bike-sharing usage during the COVID-19 pandemic highlights the importance of shared mobility modes during periods of restricted public transit.

To develop artificial intelligences (AIs) with a better sense of humanity’s quirks, A*STAR Computing and Information Science scholar Sidney Suen is delving into the cross-cultural aspects of common sense and how they might be applied to AI frameworks.

As machines take their first full-fledged steps into the world of human language, A*STAR is paving the way through innovative work in natural language processing.

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.