J
Jarosław M. Granda
Researcher at University of Glasgow
Publications - 24
Citations - 1283
Jarosław M. Granda is an academic researcher from University of Glasgow. The author has contributed to research in topics: Anion binding & Chirality (chemistry). The author has an hindex of 12, co-authored 23 publications receiving 817 citations. Previous affiliations of Jarosław M. Granda include Wrocław University of Technology & Polish Academy of Sciences.
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Controlling an organic synthesis robot with machine learning to search for new reactivity
TL;DR: An organic synthesis robot is presented that can perform chemical reactions and analysis faster than they can be performed manually, as well as predict the reactivity of possible reagent combinations after conducting a small number of experiments, thus effectively navigating chemical reaction space.
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Organic synthesis in a modular robotic system driven by a chemical programming language
Sebastian Steiner,Jakob Wolf,Stefan Glatzel,Anna Andreou,Jarosław M. Granda,Graham Keenan,Trevor Hinkley,Gerardo Aragon-Camarasa,Philip J. Kitson,Davide Angelone,Leroy Cronin +10 more
TL;DR: An autonomous compiler and robotic laboratory platform to synthesize organic compounds on the basis of standardized methods descriptions, and a program, the Chempiler, to produce specific, low-level instructions for modular hardware of the laboratory-scale synthesis robot.
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How to explore chemical space using algorithms and automation
TL;DR: It is proposed that a chemical intelligence approach is already being used and that, in the not-too-distant future, the automated chemical reactor systems controlled by algorithms and monitored by a sensor array will be capable of navigating and searching chemical space more quickly, efficiently and, importantly, without bias.
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Universal chemical synthesis and discovery with 'The Chemputer'
TL;DR: A universal approach to chemical synthesis design and execution is outlined, beginning with an abstract representation of the practice of chemical synthesis that informs the programming and automation required for its practical realization.
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An autonomous organic reaction search engine for chemical reactivity.
TL;DR: It is shown the RSI correlates with reactivity and is able to search chemical space using the most reactive pathways, generating a reaction selection index (RSI) without need for separate work-up or purification steps.