An autonomous laboratory for the accelerated synthesis of novel materials
Nature, 2023. [All Versions]. This paper introduces the A-Lab, an autonomous laboratory for the solid-state synthesis of inorganic powders. This platform uses computations, historical data from the literature, machine learning (ML) and active learning to plan and interpret the…
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Balancing autonomy and expertise in autonomous synthesis laboratories nature.com
Nature Computational Science, 2025. [All Versions]. Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, the authors comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for…
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An autonomous portable platform for universal chemical synthesis nature.com
Nature Chemistry, 2022. [All Versions]. [Preprint]. This paper presents a portable suitcase-sized chemical synthesis platform containing all the modules required for synthesis and purification. The system uses a chemical programming language coupled to a digital reactor…
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Reproducibility in automated chemistry laboratories using computer science abstractions nature.com
Nature Synthesis, 2024. [All Versions]. While abstraction is critical for the transferability of automated laboratory science in (bio)chemical and materials sciences, its improper implementation is a technical debt taken against the reproducibility of experimental results. Over…
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Universal chemical programming language for robotic synthesis repeatability nature.com
Nature Synthesis, 2024. [All Versions]. [Preprint]. The amount of chemical synthesis literature is growing quickly; however, it takes a long time to share and evaluate new processes among laboratories. This paper presents an approach that uses a universal chemical programming…
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A dynamic knowledge graph approach to distributed self-driving laboratories nature.com
Nature Communications, 2024. [All Versions]. This work employs ontologies to capture data and material flows in design-make-test-analyse cycles, utilising autonomous agents as executable knowledge components to carry out the experimentation workflow. Data provenance is recorded…
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AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by… nature.com
Nature Communications, 2023. [All Versions]. Closed-loop, autonomous experimentation enables accelerated and material-efficient exploration of large reaction spaces without the need for user intervention. However, autonomous exploration of advanced materials with complex…
AGI & CoCoSci › Papers > Science Logology > Laboratory Automation: “Nature, 2023. [All Versions]. This paper introduces the A-Lab, an autonomous laboratory for the solid-state synthesis of inorganic powders. This platform uses computations, historical data from the literature, machine learning (ML) and active learning to plan and interpret the…”