A new way to perform "general inverse design" with high accuracy
SMART breakthrough could help develop technologies that can identify materials according to desired properties for specific applications.
Singapore-MIT Alliance for Research and Technology (SMART)
SMART researchers develop method for early detection of bacterial infection in crops
The Raman spectroscopy-based method enables early detection and quantification of pathogens in plants, to enhance plant disease management.
New 10-minute test detects Covid-19 immunity
Paper-based blood test developed by SMART researchers can rapidly determine the presence of SARS-CoV-2 neutralizing antibodies.
A new way to generate light using pre-existing defects in semiconductors
SMART researchers demonstrate a practical way to make indium gallium nitride LEDs with considerably higher indium concentration.
Researchers design sensors to rapidly detect plant hormones
SMART nanosensors are safer and less tedious than existing techniques for testing plants’ response to compounds such as herbicides.
A new way to detect the SARS-CoV-2 Alpha variant in wastewater
SMART researchers have developed an innovative method to detect and quantify the B.1.1.7 (Alpha) variant of concern via wastewater epidemiology.
SMART researchers develop a method for rapid, accurate virus detection
Four times faster than conventional PCR methods, new RADICA approach is highly specific, sensitive, and resistant to inhibitors.
Microscopy technique makes finer images of deeper tissue, more quickly
Researchers could rapidly obtain high-resolution images of blood vessels and neurons within the brain.
E-scooters as a new micro-mobility service
SMART researchers explore the potential of e-scooter sharing as a replacement for short-distance transit in Singapore.
Trying to put the brakes on car ownership
Study of Beijing’s car-restriction policy underscores value of regional coordination to meet transportation and emissions goals.
Evaluating the competition between autonomous vehicles and public transit
SMART study determines benefits of competition and potential impact for future urban cities and transport systems.
SMART breakthrough uses artificial neural networks to enhance travel behavior research
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
SMART investigates the science behind varying performance of different colored LEDs
The findings pave the way to develop more efficient next-gen LEDs that cover the entire visible spectrum.
Study finds ride-sharing intensifies urban road congestion
SMART research finds US road congestion increased by almost 1 percent while the duration of congestion rose by 4.5 percent.
SMART researchers develop 15-minute immune-profiling assay
Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.