Research into high-temperature shape memory alloys (HTSMAs) is aiming to improve efficiency in advanced technologies like military jets by allowing parts to return to their original shape after being heated.
A team of researchers at Texas A&M University has utilized artificial intelligence (AI) combined with lab experiments to speed up the discovery of more affordable HTSMAs.
The use of data-driven tools like Batch Bayesian Optimization (BBO) helps in predicting the most promising alloys, saving time and expenses in the development of new metals for specific purposes.
These smart metals, acting as actuators, have the potential to revolutionize aerospace, robotics, and various technologies by making devices lighter, faster, and more efficient.