Urban Solutions and Sustainability (USS)

Scientists develop a technique for performing advanced infrared microscopy using off-the-shelf cameras built for visible light.

A deep learning technique developed by A*STAR researchers uses WiFi data to help robots find their way around.

Nuclear fusion could provide Singapore—and the rest of the world—with a safe and clean source of energy, says A*STAR National Science Scholar Valerian Hall-Chen.

Quantifying where and when communities use dockless bike-share systems could help operators and urban planners design more biking-friendly cities.

Encapsulating sun-blocking pigment particles within polymer shells can improve their ability to reflect light, leading to the enhanced cooling performance of coatings.

Defects are not necessarily bad; researchers have used them to improve the ability of molybdenum oxide thin films to capture CO₂.

Floor mats equipped with deep learning could take us one step closer to truly smart homes.

Nanosensors embedded in plants could allow farmers to ‘talk’ to their crops and gather valuable data for better yields, says Min Hao Wong.

Mixing tin into germanium telluride creates a high-performance thermoelectric material that could make energy harvesting or cooling devices more effective.

A new method to synthesize degradable nanoparticles may lead to eco-friendly applications in catalysis, sensing and medicine.

A simple switch from a non-polar binder to a polar one could make sodium-sulfur batteries safer and more efficient.

Horizontal Technology Programme Offices will bring A*STAR’s deep capabilities to bear on real-world issues facing Singapore and the wider world, says Deputy Chief Executive (Research), Andy Hor.