Machine learning as a tool for predicting and engineering the next generation of piezoelectric materials

Piezoelectric materials, which linearly interconvert mechanical and electrical energy, are ubiquitous in the modern world due to their many forms as sensors, actuators, and energy harvesters. Machine learning methods are emerging as a tool in the search for sustainable high-performance materials, of