Submit your work to this new themed collection, guest edited by Moran Balaish, Helge Soren Stein, Arghya Bhowmik and John Gregoire

Journal of Materials Chemistry A, published by the Royal Society of Chemistry, is pleased to announce an open call for papers for our up-and-coming themed collection on

Advancing energy-materials through high-throughput experiments and computation.

The unprecedented need for new and improved energy conversion and storage materials creates an historic imperative to accelerate the research process and proliferate new and improved materials (and interfaces) from guided and serendipitous discovery to commercial application by 5x – 20x. Integrating high-throughput automated ceramic synthesis, data management, data mining, autonomous materials characterization, and robust data analysis with guidance and uncertainty quantification from artificial intelligence (AI) and machine-learning (ML) can revolutionize how research is conducted. This accelerated way of orchestrating chemistry sparks new avenues in interdisciplinary research across chemistry, physics, material science, computer science, engineering and stimulates breakthroughs in energy materials.

Guest Edited by Dr. Moran Balaish (Technical University of Munich, Germany), Prof. Helge Sören Stein (Karlsruhe Institute of Technology, Germany), Prof. Arghya Bhowmik, and Prof. John Gregoire, this themed collection of Journal of Materials Chemistry A aims to provide a platform for recent developments in the emerging research area of material science and technology accelerated by artificial intelligence, autonomous, and automated methods for discovering, characterizing, understanding and upscaling energy materials and related applications. This themed collection will focus on the 4 major phases of inorganic material’s development cycle for energy materials relating broadly to the field of energy conversion and storage. We welcome contributions relating to orchestrating experiments, integrating simulations and experiment, uncertainty quantification in theory and experiment, going beyond facile property prediction, transfer learning, explainable machine learning models in chemistry, technical papers on new innovative methods for coating and synthesis, advanced automatic data analysis, and data management are welcome.

This call for papers is open for the following article types:

• Communications
• Full papers

Submission Deadline: 13^th October 2023

Submissions to the journal should fit within the scope of Journal of Materials Chemistry A. Please see the journal website for more information on the journal’s scope, standards, article types and author guidelines.

If you would like to contribute to this themed collection, you can submit your article directly through the journal’s online submission service at https://mc.manuscriptcentral.com/jmchema. Please add a “note to the editor” in the submission form when uploading your files to say that this is a contribution to the themed collection. The Editorial Office reserves the right to check suitability of submissions in relation to the scope of the collection, and inclusion of accepted articles in the final themed collection is not guaranteed.

If you have any questions about the collection, contact the Editorial Office at materialsa-rsc@rsc.org. We look forward to receiving your submissions and featuring your latest work in this exciting collection!