Self-driving labs and automation software for chemistry and materials science
- Submission status
- Open
- Submission deadline
Automation of repetitive tasks has long been one of the main pillars of industry. The increase in computational resources, machine learning, and robotic hardware in the last decades has now allowed to bring automation into research labs: from automatic data analysis software up to fully self-driven labs requiring minimal human interaction, automation promises to accelerate research by facilitating tedious tasks but also opening new directions for investigation. This cross-journal collection is dedicated to the development and application of automation tools for chemical and materials science. We welcome studies providing advances in self-driving labs, closed-loop experimentation, and software for robotic control and automatic data analysis or simulation.
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