Towards Autonomous Discovery and Development of Shape Memory Alloys and their Manufacturing: Myths and Truths

This presentation will first pose the myth that AI is going to independently (of humans) discover a shape memory alloy that is radically superior to those that we already know. Then, through recent results from using machine learning modeling as a tool to develop new shape memory alloys with properties that are not yet achieved for biomedical and aerospace applications, and also to develop manufacturing parameters for additive manufacturing, truths about what AI is really capable of are revealed. These truths motivate the vision for the creation of the Artificial Intelligence Manufacturing Pilot Facility (AIMPF) at Georgia Tech that extends the concepts of “self-driving labs” and “mobile robotic scientists” to create a semi-autonomous user facility toward enabling AI to assist people with materials and manufacturing science and engineering. AIMPF provides a world-leading environment for cooperative industry-academia-government pilot trials, innovation of new technologies, and workforce training. This presentation will highlight recent advancements in the realization of the AIMPF vision by automating research and development of shape memory alloys.