Institute of High Performance Computing (IHPC)
Flow simulations made simple and stable
11 Dec 2019Factoring in the conservation of mass makes simulations of two-phase flows more stable and accurate.
Unpacking the possibilities of polymer science
18 Nov 2019With 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.
Lowering the cost of louver simulations
25 Oct 2019Simulating building-cooling louvers need not be computationally expensive, say A*STAR researchers.
Multilingual machines one step closer to reality
27 Sep 2019A*STAR researchers have devised a machine learning strategy that can be applied to translation and other complex classification problems.
Sound barriers inspired by origami
14 Jun 2019A*STAR scientists have designed foldable sound barriers by borrowing concepts from origami, the art of paper folding.
Simulations shed light on air filter deployment
24 May 2019Using computational tools, A*STAR researchers are learning how best to deploy air treatment systems across large urban areas.
A shot in the arm for spintronics
30 Apr 2019A spin injection technique that is more than 10,000 times more efficient than existing methods could allow for the development of ultrafast spintronic computers
Finding a premium blend
2 Apr 2019In shape memory alloys, the right combination of crystal grains can achieve high strength and still retain memory
A tip for future nanoscale sensing
21 Feb 2019The tiny diamond pyramid tips used for atomic force microscopy may also prove to be highly useful for nanoscale, quantum sensing
Ceramic holds promise for greener optical devices
3 Feb 2019Scientists have developed an environmentally friendly ceramic material
Taking the edge off of nanoscale heat
31 Oct 2018Simulations of graphene-like nanoribbons show that
small tweaks to their edge structures can drastically alter heat conduction
The ripple effects of supply chain disruptions
31 Oct 2018The
resilience of supply chain networks to major disruptions can now be measured
using a multi-factor test