Team uses machine learning to predict the properties of simulated carbon nanotube arrays
A Mizzou Engineering team has spent the past couple of years developing a simulation model to demonstrate how carbon nanotubes can be produced without losing their optimal properties.
Beyond counting: computer science partnership helps speed up plant science experiments
As part of the Bioinformatics in Plant Sciences (BIPS) program, undergraduate and graduate students in plant sciences and computer science have come together to create the first phenotype image analysis system for monocot plant leaf veins called, GrasVIQ.
Mizzou Team to Use AI to Grow Carbon Nanotubes in Mass Quantities
A team of Mizzou Engineers is turning to artificial intelligence (AI) to help grow and control large quantities of carbon nanotubes—tiny, cylinder-shaped molecules made of rolled sheets of carbon. Using AI is a novel approach to mass producing them, a problem that has plagued scientists for decades. Now, the National Science Foundation is backing the idea with an award funding the group’s research for three years.