awesome-self-driving-labs
github.com/accelerationconsortium/awesome-self-driving-labs ↗A community-curated list of resources related to self-driving labs which combine hardware automation and artificial intelligence to accelerate scientific discovery.
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143
Curated Resources
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14 hours ago
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Review PapersSDL ExamplesSoftwareHardwareMedia
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Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me academic research resources from awesome-self-driving-labs"
Installation instructions →What's inside
SDL Examples
- A Bayesian experimental autonomous researcher for mechanical designAcademic Research
- Accelerate Synthesis of Metal–Organic Frameworks by a Robotic Platform and Bayesian OptimizationAcademic Research
- A dynamic knowledge graph approach to distributed self-driving laboratoriesAcademic Research
- An autonomous laboratory for the accelerated synthesis of novel materialsAcademic Research
- An Object-Oriented Framework to Enable Workflow Evolution across Materials Acceleration PlatformsProspective
- ArctorisIndustry
Software
- Adaptive Experimentation Platform (Ax)Optimization
- Amplitude-Phase-DistanceOther
- AnubisOptimization
- AtlasOptimization
- autophasemapOther
- Bayesian Back End (BayBE)Optimization
Review Papers
- A DIY Approach to Automating Your Lab2019
- Artificial Intelligence for Materials Research at Extremes2022
- Autonomous (AI-Driven) Materials Science2022
- Autonomous Chemical Experiments: Challenges and Perspectives on Establishing a Self-Driving Lab2022
- Autonomous Discovery in the Chemical Sciences Part II: Outlook2020
- Autonomous Discovery in the Chemical Sciences Part I: Progress2020
Media
Hardware
- Science JubileeOpen-source
Showing a sample of 143 resources. View the full list on GitHub →