Self driving labs, which combine artificial intelligence and machine learning with automated laboratories, are transforming materials discovery, process optimization, and chemical manufacturing – enabling faster, smarter decision-making.
At AM Academy, we provide the tools and insights to help you leverage AI-driven approaches in your work.
Explore more today and unlock the power of machine learning in materials science!
Master advanced materials synthesis and automation. In this overview video, explore how AMLearn simplifies complex processes, accelerates research, and empowers...
Read moreThis article details the first use of AM's platform - combining machine learning and nanomaterials synthesis - to rapidly optimise...
Read moreThis article introduces a self-optimizing flow chemistry system that uses machine learning to efficiently balance multiple reaction metrics, such as...
Read moreThis study integrates a machine learning workflow with a flow chemistry platform to optimize reaction conditions for lithium–halogen exchange reactions,...
Read moreThis article presents a strategy that uses an automated liquid handling, with predictive modeling and active machine learning in a...
Read moreLearn from the developer of AMLearn, Dr. Mohammed Jeraal (Lead Engineer), as he distills how different tools, from Bayesian optimisation...
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