Research Spotlights

A new machine-learning approach helps develop environmentally friendly solvents more efficiently.

Future communications systems can be made more efficient with the help of their digital twin.

Machine learning helps to identify green solvents that can efficiently extract contaminants from water.

A new separation technique using porous electrodes traps metal ions from wastewater, offering smarter, greener solutions for heavy metal pollution.

Utilizing 2D nanomaterials, advances in energy-harvesting technologies could revolutionize the way we yield electrical power.

Straightforward modifications to gas turbine power generators can reduce the energy required to capture exhaust carbon emissions.

Interdisciplinary collaboration between research centers at Khalifa University finds functionalized polydopamine nanoparticles to be highly effective at adsorbing dyes present in industrial waste.

Combined 2D/3D recognition of the ear shows promise as a robust alternative biometric to fingerprints and facial recognition.

Khalifa University researchers have developed an eco-friendly ultrafiltration membrane using particles from mangrove trees.