Artificial Intelligence and Machine Learning in Energy Storage and Conversion Materials
Manuscript Submission Deadline:
September 01, 2021
Co-Guest Editors: Surojit Gupta
Publication Date: February 2022
Keywords: Advanced Materials, Computational Materials Science & Engineering, Energy, Energy Conversion and Storage, Nanotechnology, Artificial Intelligence (AI), Machine Learning (ML)
Scope: Artificial intelligence (AI) and machine learning (ML) have emerged as important tools for material scientists aimed at finding optimum solutions to complex scientific dilemmas. This special topic invites papers from industry, academia, and national labs that focus on AI and ML advances in field of materials design, characterization, and applications for energy storage and conversion.
Call for Papers