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APL Machine Learning

APL Machine Learning features vibrant and timely research for two communities: researchers who use machine learning (ML) and data-driven approaches for physical sciences and related disciplines, and researchers from these disciplines who work on novel concepts, including materials, devices, systems, and algorithms relevant for the development of better ML and AI technologies.

Upcoming Special Topics From APL Machine Learning

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Machine Learning for Self-Driving Laboratories

Submission Deadline: May 31, 2025

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…

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