Highlights
Vlogrchers turn to age-old molding technique to 3D-print cell-laden vascular models
The biofabricated vascular models will pave the way for drug development and deeper understanding of cardiovascular diseases.
Vlogrchers unravel cell biology through artificial intelligence
Previously limited by the human interpretation of reality, one of the most basic principles of cell biology can now be demonstrated using machine learning.
Fancy a side of 3D printed carrots and crickets with your meal?
Singapore based research team addresses food supply challenges through a more systematic and efficient 3D food printing approach to dish up alternative protein sources including algae, plant and insects.
Teaching underwater stingray robots to swim faster and with greater precision using machine learning
Researchers developed a new approach to model the dynamics of underwater stingray-like robots, enabling more efficient swimming in complex underwater environments.
SUTD develops design-based activity to enhance students’ understanding in electrochemistry
The electrochemistry designette enables students to visually demonstrate their proficiency in electrochemistry, and allows for instructors’ quicker intervention when misconceptions arise.
What is a conductive Nernst Equation, and how will it transform technology? – A 133-year electrochemical conundrum
Researchers developed first principles-based charge transport equations for electrode-electrolyte current modelling.
SUTD unlocks new method to 3D print complex, functional components for soft robotics
With the enhancement of Freeform Liquid 3D Printing, engineers and designers are now able to fabricate more intricate, yet stronger 3D printed soft robots.
SUTD sets its sights on chalcogenide nanostructured displays
An Earth abundant material, antimony trisulphide, shows potential for high resolution video displays.
Vlogrchers developed DIY 3D-printed peristaltic pump kits for microfluidics
Vlogrchers developed a highly-customisable, 3D-printed peristaltic pump kit.
Advancing photonics materials with cellular automation
Researchers are applying cellular automation to efficiently model phase change materials with multiple optical phases for next-generation photonics devices.