Artificial Intelligence and Machine Learning for Materials Discovery, Synthesis and Characterization

The use of artificial intelligence, including machine learning, is rapidly rising in all areas of materials science, from materials discovery, synthesis, characterization, and performance. This special collection explores these areas and highlights successes and challenges.

Guest Editors:
Parag Banerjee, University of Central Florida
Jeffrey Elam, Argonne National Laboratory
Tiffany Kaspar, Pacific Northwest National Laboratory
Chris Moffitt, Kratos Analytical, Inc.

Editor:
Amy Walker, University of Texas at Dallas