Combining robotic deposition tools and advanced characterization to enable ML-guided material discovery

Published: 25 Mar 2026, Last Modified: 16 Jun 2026AI4X-AC 2026 OralEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for both oral and poster presentation.
Keywords: Synthesis robots, Automation, Materials Science, Bayesian Optimization, Structure-Property-Relationships
TL;DR: Using two robotic platforms and model systems, we show how combining automated material synthesis with advanced characterisation techniques as well as a high-quality data infrastructure enables machine learning guided accelerated materials discovery.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 304
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