AI approach enhances efficiency of material multiscale simulation for wearable electronics

An illustration of the machine learning model framework, showing its application in predicting the electro-mechanical behavior of CNTs/PDMS composites. Credit: Science China Press The integration of microscale and macroscale simulations has long been a computational challenge in material science. Addressing this, researchers have developed AGAT, a machine learning model that efficiently predicts the behaviors of […]

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