CANCELLED: Advances and Applications of Machine Learning in Materials Research
Access all papers from this issue
...
This topic is no longer accepting submissions.
Manuscript Submission Deadline:
October 01, 2022
Co-Guest Editors: Xiaofeng Qian
Publication Date: May 2023
Keywords: Computational Materials Science & Engineering, Cyber Infrastructure, ICME, Modeling and Simulation, machine learning
Scope: Machine learning (ML) is impacting all disciplines of science and engineering. This topic will cover the impact of ML on experimental and computational materials science with interest in both algorithm advancements and examples of application. Specific topics of interest include advances in machine learning force fields, high- and medium-throughput computational frameworks, computational and experimental databases, feature/descriptor engineering, uncertainty quantification, data-driven model calibration and validation, and machine learning approaches to bridging length and time scales.
Call for Papers:
Download