Machine Learning in Design, Synthesis, and Characterization of Composite Materials
Manuscript Submission Deadline:
February 01, 2021
(Manuscripts not accepted more than 6 months prior to this date)
Publication Date: July 2021
Keywords: Advanced Materials, Composites, Computational Materials Science & Engineering, Mechanical Properties, Machine learning
Scope: Machine learning methods are enabling unprecedented advances in the area of composite materials. These methods are versatile in handling a large number of parameters and are helping in developing novel materials structures and compositions for the given application requirements. This topic is intended to cover all aspects of application of machine learning methods to the field of composite materials, including design of microstructure, synthesis condition optimization, and evaluation of properties.
Call for Papers