2026 AI4X - Accelerate Conference themed collection
Submissions now open
| Deadline: | 31 October 2026 |
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| Guest Editors: |
Yizhou Zhu, Westlake University Keith A Brown, Boston University Yousung Jung, Seoul National University |
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This new themed collection represents a collaboration between the editors of Digital Discovery and the Acceleration Consortium, organisers of the 2026 AI4X - Accelerate Conference. The goal of the conference is to bring together researchers from diverse disciplines to share their perspectives on Science with AI and their visions for the future. This themed collection aims to explore the field of AI, machine learning, and self-driving labs and we welcome contributions that cover any aspect of this process, whether specifically presented at the conference or not. Examples include realization of new SDLs; fundamental studies of the operation of SDLs; AI for Materials Science; LLMs for Science; ethical approaches to AI for science research; and AI for all areas of chemistry research. |
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Digital Discovery
Impact factor
7.1 (2025)
First decision time (all)
40 days
First decision time (peer)
46 days
Editor-in-Chief
Alán Aspuru-Guzik
Publishing model
Gold open access
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