We invite submissions presenting new and original research on all topics of artificial intelligence in material science and engineering, including, but not limited to:

• Microstructure characterization and reconstruction, for example, image-based methods.
• Properties/microstructure prediction, for example, Machine Learning in atomistic simulations and Machine Learning on continuum simulations.
• Materials Discovery.

We also offer a track with emerging technologies. Here, we invite submissions on technologies from data science that are not yet widely used in material science and engineering but might become important in the future. Examples include:

• Neuro-Symbolic Machine Learning, for example, Physics Informed Neural Networks and Neural ODEs.
• Natural Language Processing.