Dear Colleague,

We are pleased to announce that the symposium of "Accelerating Materials Science with Big Data and Machine Learning” will be organized within the Materials Science and Technology 2021 Conference (MS&T21) in Columbus, Ohio, USA, from October 17 to October 21, 2021. Here, we would like to invite you to contribute to the symposium.

"Accelerating Materials Science with Big Data and Machine Learning" is motivated by the rising role of artificial intelligence based methods in materials discovery and design, as demonstrated by a variety of inspirational success stories in the last decade. We aim at providing a forum for theoretical/computational and experimental materials scientists from academia, industry, and national laboratories, to discuss the recent development, the potential integration, and the future outlook of artificial intelligence in materials design.

Our confirmed invited speakers are

1. Maria Chan (Argonne National Lab)
2. Elsa A. Olivetti (MIT)
3. Christopher A. Sutton (Univ. South Carolina)
4. Joseph Montoya (Toyota Research Institute)
5. Vinay Hegde (Citrine Informatics)

Deadline for abstract submission is March 15, 2021. More information of MS&T21, the symposium, and how to submit abstracts can be found at http://www.programmaster.org/MST21.

We hope very much that you will be able to join us, and look forward to seeing you in Columbus in October 2021.

Best regards

Huan Tran (Georgia Institute of Technology) and Muratahan Aykol (Toyota Research Institute)