ArticleNature communications2024
A dynamic knowledge graph approach to distributed self-driving laboratories.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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Who cites it
17 citing papers in PubMed.
- The past, present and future of self-driving laboratories.Nature reviews. Chemistry · 2026Review
- High-throughput solid microsampling through stochastic robotic automation.Communications chemistry · 2026Article
- Database utility for cyclovoltammetry knowledge (DUCK): unified platform for electrochemical data.Digital discovery · 2026Article
- Artificial intelligence for drug delivery: Yesterday, today and tomorrow.Acta pharmaceutica Sinica. B · 2026Review
- Digital materials ecosystem: from databases to AI agents for autonomous discovery.Chemical science · 2026Review
- Review
- The ADePT framework for assessing autonomous laboratory robotics.Communications chemistry · 2026Review
- NOCTIS: open-source toolkit that turns reaction data into actionable graph networks.Journal of cheminformatics · 2025Article
- Steering towards safe self-driving laboratories.Nature reviews. Chemistry · 2025Review
- Digital Twin for Chemical Science: a case study on water interactions on the Ag(111) surface.Nature computational science · 2025Article
- Science acceleration and accessibility with self-driving labs.Nature communications · 2025Review
- A knowledge graph for crop diseases and pests in China.Scientific data · 2025Article
- Artificial intelligence in drug development.Nature medicine · 2025Review
- Reaction blueprints and logical control flow for parallelized chiral synthesis in the Chemputer.Nature communications · 2024Article
- Enhancing Lessons on the Internet of Things in Science, Technology, Engineering, and Medical Education with a Remote Lab.Sensors (Basel, Switzerland) · 2024Article
- Self-Driving Laboratories for Chemistry and Materials Science.Chemical reviews · 2024Review
- A dynamic knowledge graph approach to distributed self-driving laboratories.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
The ability to integrate resources and share knowledge across organisations empowers scientists to expedite the scientific discovery process. This is especially crucial in addressing emerging global challenges that require global solutions. In this work, we develop an architecture for distributed self-driving laboratories within The World Avatar project, which seeks to create an all-encompassing digital twin based on a dynamic knowledge graph. We employ 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 to ensure its findability, accessibility, interoperability, and reusability. We demonstrate the practical application of our framework by linking two robots in Cambridge and Singapore for a collaborative closed-loop optimisation for a pharmaceutically-relevant aldol condensation reaction in real-time. The knowledge graph autonomously evolves toward the scientist's research goals, with the two robots effectively generating a Pareto front for cost-yield optimisation in three days.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.