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.

Avoiding food contamination with a durable coating for hard surfaces

In the future, a durable coating could help keep food-contact surfaces clean in the food processing industry, including in meat processing plants. A new study from a team of University of Missouri engineers and food scientists demonstrates that the coating — made from titanium dioxide — is capable of eliminating foodborne germs, such as salmonella and E. coli, and provides a preventative layer of protection against future cross-contamination on stainless steel food-contact surfaces.

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.