Nearly 240 scientists signed onto a letter urging the World Health Organization to recognize the airborne spread of COVID-19. Here’s what a signatory from Washington University in St. Louis has to say.
Using aerosols as ground truth, researchers at the McKelvey School of Engineering at Washington University in St. Louis have developed a deep learning method that accurately simulates chaotic trajectories — from the spread of poisonous gas to the path of foraging animals.
Collaborating with researchers in NASA, Daren Chen, PhD, has used the miniature particle size that he had developed as a part of a special smoke detector that was tested by the National Institute of Standards and Testing on more than 200 different kinds of fires and found to be 100 percent accurate. “I’m very interested in making this better sensor cheap enough to eventually allow networks in large buildings and ultimately save human lives,” Chen says.