Institute of High Performance Computing (IHPC)

Cities of the future must brace for the impacts of climate change. Here’s how an integrated environmental modeling tool developed by A*STAR is helping Singapore’s urban planners rise to the challenge.

An improved design for nickel hydroxide catalysts could reduce costs and improve the efficiency of hydrogen fuel and oxygen generation.

A*STAR researchers have developed a computational technique that allows them to predict the properties of MXene alloys.

Computational fluid dynamics models and 3D printing are changing the way artificial ocean basins are designed.

Machine learning could pave the way for the creation of novel alloys for a range of practical applications, say scientists at A*STAR.

Factoring in the conservation of mass makes simulations of two-phase flows more stable and accurate.

With a sound understanding of polymers, their properties and the methods to synthesize them, scientists can create novel materials for a wide range of practical applications.

Simulating building-cooling louvers need not be computationally expensive, say A*STAR researchers.

A*STAR researchers have devised a machine learning strategy that can be applied to translation and other complex classification problems.

A*STAR scientists have designed foldable sound barriers by borrowing concepts from origami, the art of paper folding.

Using computational tools, A*STAR researchers are learning how best to deploy air treatment systems across large urban areas.

A spin injection technique that is more than 10,000 times more efficient than existing methods could allow for the development of ultrafast spintronic computers