Elsevier
Artificial Intelligence and Machine Learning Accelerated Advancement of Next-Generation Energy Storage Technologies: From Fundamental Materials Discovery to Innovative Cell Design and End of-Life Reuse and Remanufacturing
Current call from Energy Storage Materials on “Artificial Intelligence and Machine Learning Accelerated Advancement of Next-Generation Energy Storage Technologies: From Fundamental Materials Discovery to Innovative Cell Design and End of-Life Reuse and Remanufacturing”. Review the official call for detailed scope, research themes and submission requirements.
This link opens the ScienceDirect special-issue page captured from the publisher's Calls for Papers directory.