Machine Learning for Self-Driving Laboratories – Now Open for Submissions!

Submit to this Special Topic today View in Browser SUBMIT AN ARTICLE MANAGE MY ALERTS ABOUT THE JOURNAL APL Machine Learning Call for Papers Special Topic: Machine Learning for Self-Driving Laboratories This Special Topic focuses on the transformative impact of machine learning in self-driving laboratory environments and closed-loop experimentation systems. It aims to highlight the development, implementation, and optimization of advanced machine learning algorithms that drive autonomous decision-making, predictive modeling, and adaptive control in lab automation. Emphasizing interdisciplinary research, the topic explores how integrating machine learning methodologies can significantly enhance the efficiency, accuracy, and productivity of experimental science. By fostering innovations bringing artificial intelligence into the physical world, this topic seeks to advance the frontiers of research across diverse scientific disciplines, demonstrating the critical role of machine learning in modern laboratory automation and scientific research. Topics covered include, but are not limited to: • Active learning algorithms development • Benchmarking of machine learning Algorithms • Data management and workflow Development • Multi-objective and multi-fidelity learning • Control algorithms and orchestration in lab automation • AI for scientific robots • Machine learning for molecular and materials synthesis • Data science for multi-modal characterization • Large language models for scientific discovery • Human-machine interactions in self-driving laboratories • Optimization of closed-loop experimentation system Guest Editors Shijing Sun, University of Washington Jie Xu, Argonne National Lab Benji Maruyama, Air Force Research Laboratory (AFRL) Mahshid Ahmadi, University of Tennessee Martin Seifrid, North Carolina State University Yang Cao, University of Toronto Submission Deadline: February 26, 2025 LEARN MORE > Tell Us What You Think! Did you like this email? Yes > No >  Follow us on social media Copyright © 2024 AIP Publishing. All rights reserved. 1305 Walt Whitman Rd., Melville, NY 11747 You are receiving this email because you have opted-in to receive alerts from us. To guarantee delivery of this email please add journals@aip-info.org to your address book and safe senders list. If you no longer wish to receive emails from us then please unsubscribe or amend your settings.