Agentic Research Directory

Tutorial / template 2022

SDL-Demo: minimal self-driving laboratory light-mixing demonstration

A minimal self-driving laboratory demonstration for teaching and prototyping closed-loop optimization: RGB light intensities are adjusted using measurements from a spectrophotometer to match a desired spectrum.

Workflow level n/a Source: Peer-reviewed source Outcome: Not empirically evaluated here

Research applicability

Provides a bounded hands-on teaching and prototyping example of AI-guided experimental selection for chemistry and materials informatics without asserting materials-discovery outcomes.

Getting started

Editorial, untested guidance: read the paper and its linked build instructions and software documentation; verify component availability and test sensors before attempting a closed-loop drive.

Maintenance

Source availability checked on access date; future maintenance not established.

License

Licensing and redistribution terms must be checked before reuse; no independent licence audit.

Workflow & human oversight

Resource-level workflow is unspecified. Researchers set objectives, validate assumptions and outputs, and supervise any adoption.

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

Approach

The paper describes hardware/software setup using a Raspberry Pi Pico W, RGB LED and discrete-channel spectrophotometer, with optional cloud simulations and discussion of search algorithms.

Limitations

Paper-excerpt review; tables, figures and linked build artifacts were not inspected or reproduced. Default setup has no robotic movement. Its simple, largely linear response surface is not a representative benchmark for complex materials discovery; historical cost/setup targets are not verified current purchasing estimates.

Reproducibility

Source review only; no code, hardware or claimed outcome reproduced.

Adoption requirements

Compatible LED, spectrophotometer, microcontroller and software setup; wiring, component tests and researcher-defined objectives. Review remote-access/cloud settings and hardware safety before use.

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