OpenAlex
metadata only
An artificial intelligence enabled chemical synthesis robot for exploration and optimization of nanomaterials
We present an autonomous chemical synthesis robot for the exploration, discovery, and optimization of nanostructures driven by real-time spectroscopic feedback, theory, and machine learning algorithms that control the reaction conditions and allow the selective templating of reactions. This approach
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Mechanochemical and machine-intelligent design of programmable materials: From molecular interactions to macroscale functionality#661850
- Reaction medium asan architect of nanocrystal superlattices#449052
- The Role of Artificial Intelligence in Modern Analytical Chemistry: Current Trends and Future Directions.#281026
- From chemical space to synthetic reality: a framework for makeable-by-design generative AI in drug discovery#1148452
- RECOB: Reliable Benchmarking of Experimental Optimization in Chemistry and Materials Science#1034865
Record · ID 1135316
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive