Journal Option: Machine Learning: Science and Technology (MSTL) Focused Collection

We are excited to announce a special publication opportunity for ICML 2026 AI for Science Workshop participants! In partnership with Machine Learning: Science and Technology (MSTL), we have organized a focused collection dedicated to advancing AI for scientific discovery.

📚 Focused Collection: AI for Scientific Discovery

This collection provides a fast-track publication venue for high-quality research presented at our workshop. Selected papers will undergo rigorous peer review and be published in a dedicated collection on the IOP Science platform.

Collection Link: Machine Learning: Science and Technology – AI for Scientific Discovery

🎯 Scope

We welcome submissions that align with the workshop’s themes, including but not limited to:

• AI Scientists as Tools, Co-authors, and Founders – Systems that assist, collaborate, or autonomously drive scientific discovery
• Verification and Validation – Methods for verifying AI-generated hypotheses, simulations, and experimental results
• Closed-Loop AI Scientists – Autonomous systems that integrate hypothesis generation, experimentation, and iteration
• Domain-Specific AI for Science – Applications in physics, chemistry, biology, climate science, materials science, and beyond
• Benchmarks and Datasets – New resources for evaluating AI scientists and their components
• Sociotechnical Aspects – Governance, ethics, and responsible deployment of AI scientists in real-world labs

📝 Submission Guidelines

For Workshop Participants

• Authors of accepted workshop papers are encouraged to expand their work for submission to the MSTL focused collection.
• New submissions that align with the scope are also welcome.

Manuscript Requirements

• Follow the MSTL author guidelines
• Select “AI for Scientific Discovery” as the article type when submitting
• Clearly indicate in your cover letter that the work is related to the ICML 2026 AI for Science Workshop

Review Process

• All submissions undergo peer review according to MSTL’s standards
• The focused collection ensures visibility alongside other cutting-edge AI4Science work
• Fast-track processing for high-quality workshop papers

🏆 Benefits of Publishing in the Focused Collection

1. Visibility – Your work appears in a dedicated collection alongside other leading AI4Science research
2. Rigorous Review – Benefit from MSTL’s established peer review process
3. Open Access – IOP Science provides wide dissemination of your work
4. Community Building – Contribute to a centralized resource for the AI4Science community

📅 Important Dates

• Workshop Date: Saturday, July 11, 2026
• Submission Deadline: Rolling basis, November 15th, 2026 currently (check the MSTL collection page for updates)

📧 Contact

For questions about the focused collection or submission process, please contact:

• Workshop Organizers: ai4sciencecommunity@gmail.com
• MSTL Editorial Office: (contact information available on the MSTL website)

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Ready to submit? Visit the MSTL focused collection page to begin your submission and join the growing community of AI for Scientific Discovery researchers!