ArticleAngewandte Chemie (International ed. in English)2020
An Autonomous Chemical Robot Discovers the Rules of Inorganic Coordination Chemistry without Prior Knowledge.
Article in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 65 citations in OpenAlex.
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- Autonomous multi-robot synthesis and optimization of metal halide perovskite nanocrystals.Nature communications · 2025Article
- CAU-52: An Iron Metal-Organic Framework Containing Furandicarboxylate Linker Molecules.Inorganic chemistry · 2025Article
- Self-Driving Laboratories for Chemistry and Materials Science.Chemical reviews · 2024Review
- Reaction Kinetics using a Chemputable Framework for Data Collection and Analysis.Angewandte Chemie (International ed. in English) · 2024Article
- Robotic Modules for the Programmable Chemputation of Molecules and Materials.ACS central science · 2023Review
- Generative Models as an Emerging Paradigm in the Chemical Sciences.Journal of the American Chemical Society · 2023Review
- AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning.Nature communications · 2023Article
- Open-Source Chromatographic Data Analysis for Reaction Optimization and Screening.ACS central science · 2023Article
- The Commoditization of AI for Molecule Design.Artificial intelligence in the life sciences · 2022Article
- A semi-automated material exploration scheme to predict the solubilities of tetraphenylporphyrin derivatives.Communications chemistry · 2022Article
- Into the Unknown: How Computation Can Help Explore Uncharted Material Space.Journal of the American Chemical Society · 2022Review
- How Subtle Changes Can Make a Difference: Reproducibility in Complex Supramolecular Systems.Angewandte Chemie (International ed. in English) · 2022Review
- Beyond Platonic: How to Build Metal-Organic Polyhedra Capable of Binding Low-Symmetry, Information-Rich Molecular Cargoes.Chemical reviews · 2022Review
- Autonomous materials synthesis via hierarchical active learning of nonequilibrium phase diagrams.Science advances · 2021Article
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
- Review
- Data-science driven autonomous process optimization.Communications chemistry · 2021Article
- Accelerated AI development for autonomous materials synthesis in flow.Chemical science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
We present a chemical discovery robot for the efficient and reliable discovery of supramolecular architectures through the exploration of a huge reaction space exceeding ten billion combinations. The system was designed to search for areas of reactivity found through autonomous selection of the reagent types, amounts, and reaction conditions aiming for combinations that are reactive. The process consists of two parts where reagents are mixed together, choosing from one type of aldehyde, one amine and one azide (from a possible family of two amines, two aldehydes and four azides) with different volumes, ratios, reaction times, and temperatures, whereby the reagents are passed through a copper coil reactor. Next, either cobalt or iron is added, again from a large number of possible quantities. The reactivity was determined by evaluating differences in pH, UV-Vis, and mass spectra before and after the search was started. The algorithm was focused on the exploration of interesting regions, as defined by the outputs from the sensors, and this led to the discovery of a range of 1-benzyl-(1,2,3-triazol-4-yl)-N-alkyl-(2-pyridinemethanimine) ligands and new complexes: [Fe(L
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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.