Artificial intelligence-driven design of fuel mixtures

Abstract

Practical liquid fuels involve hundreds of chemical species, making the prediction of mixture properties a key bottleneck for fuel design. Here, the authors develop an artificial intelligence framework to predict how interactions between molecules correlate with specific fuel properties and propose an optimized fuel mix.