Fast-Cat: autonomous catalyst benchmarking

Research applicability

Fast-Cat is a self-driving catalysis laboratory whose authors describe autonomous ligand benchmarking and multi-objective Pareto-front mapping of hydroformylation reactions in a modular flow chemistry platform.

Getting started

Untested editorial guidance: read the linked primary study and consult its supplementary methods before selecting a bounded target experiment. Have qualified researchers assess apparatus compatibility, chemical safety and analysis quality; test any automation against established controls before use. This is not an executed protocol.

Workflow & human oversight

Bounded closed-loop experiment selection and execution within a researcher-defined apparatus and chemical task; researchers supply objectives, equipment, initial materials, safety limits and final interpretation. L3 does not mean unrestricted or unsupervised research autonomy.

Workflow level is not an evidence score; higher is not better evidence.

Limitations

Primary research abstract plus publisher preview only; main methods and supplementary data were not evaluated. No lab execution, numerical performance validation, installation or independent reproduction. High-temperature/high-pressure gas–liquid chemistry needs specialist facilities and safety review. Repository identity checked via API, not code or licence audited.

Reproducibility

No software installation, code execution or wet-lab replication performed. Repository identity only checked.

Adoption requirements

Specialist chemical laboratory, compatible automation and measurement hardware, trained operators, local risk assessment and institution-approved operating limits; evaluate equipment/software rights and data confidentiality before reuse. Costs, licences and setup completeness were not audited.