Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties

no code implementations • 1 Sep 2023 • Binh Duong Nguyen, Pavlo Potapenko, Aytekin Dermici, Kishan Govind, Sébastien Bompas, Stefan Sandfeld

Determining, understanding, and predicting the so-called structure-property relation is an important task in many scientific disciplines, such as chemistry, biology, meteorology, physics, engineering, and materials science.