Predicting material failure is a significant challenge in materials science, as stress history often leaves no visible signs. To address this, researchers at ETH Zurich’s Laboratory for Soft Materials and Interfaces, Multi-Scale Robotics Lab, and Institute of Pharmaceutical Sciences have developed a smart self-reporting material.