The Journal of Phase Equilibria and Diffusion (JPED) will publish a special issue on Data Science and Machine Learning Applied in Phase Stability. This special issue aims to highlight recent developments in data science, artificial intelligence (AI), and machine learning (ML) to investigate, predict, and optimize phase stability and materials performance.
Prof. Raymundo Arroyave, Texas A&M University (United States), Dr. James Saal, Citrine Informatics (United States), and Dr. Dongwon Shin, Oak Ridge National Laboratory (United States) will serve as guest editors.
Interested authors are strongly encouraged to submit an abstract to one of the guest editors for consideration and comments before the preparation of a full manuscript:
Prof. Raymundo Arroyave: rarroyave@tamu.edu
Dr. James Saal: jsaal@citrine.io
Dr. Dongwon Shin: shind@ornl.gov
Draft title/abstract submissions are due by May 30. For more information, please visit here.
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Emily Glorioso
ASM Employee
ASM International
Novelty OH
(440) 338-5151
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