Better, faster, energy efficient predictions

April 29, 2022
"Predicting how climate and the environment will change over time or how air flows over an aircraft are too complex even for the most powerful supercomputers to solve. Scientists rely on models to fill in the gap between what they can simulate and what they need to predict. But, as every meteorologist knows, models often rely on partial or even faulty information which may lead to bad predictions. 

Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) are forming what they call 'intelligent alloys', combining the power of computational science with artificial intelligence to develop models that complement simulations to predict the evolution of science’s most complex systems."

Read the full article by Leah Burrows.