Self-driving laboratories

We propose a multi-faceted, multi-scale representation of experimental knowledge using Domain-Specific Languages, coupled with a data-driven algorithm, to enhance protocol design in scientific research by integrating Large Language Models and automating the customization of experimental protocols for specific domains.

We propose a multi-faceted, multi-scale representation of experimental knowledge using Domain-Specific Languages, coupled with a data-driven algorithm, to enhance protocol design in scientific research by integrating Large Language Models and automating the customization of experimental protocols for specific domains.