Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Tara Zepel"'
Autor:
Melodie Christensen, Lars P. E. Yunker, Folarin Adedeji, Florian Häse, Loïc M. Roch, Tobias Gensch, Gabriel dos Passos Gomes, Tara Zepel, Matthew S. Sigman, Alán Aspuru-Guzik, Jason E. Hein
Publikováno v:
Communications Chemistry, Vol 4, Iss 1, Pp 1-12 (2021)
An automated closed-loop system optimizes a stereoselective Suzuki-Miyaura reaction using a machine learning algorithm that incorporates unbiased and categorical process parameters.
Externí odkaz:
https://doaj.org/article/fc4f62943ff64484b8d72e580bfeb7ba
Autor:
Parisa Shiri, Veronica Lai, Tara Zepel, Daniel Griffin, Jonathan Reifman, Sean Clark, Shad Grunert, Lars P.E. Yunker, Sebastian Steiner, Henry Situ, Fan Yang, Paloma L. Prieto, Jason E. Hein
Publikováno v:
iScience, Vol 24, Iss 3, Pp 102176- (2021)
Summary: Solubility screening is an essential, routine process that is often labor intensive. Robotic platforms have been developed to automate some aspects of the manual labor involved. However, many of the existing systems rely on traditional analy
Externí odkaz:
https://doaj.org/article/f431d4d259a141f1bc9a1fd655a8c73b
Autor:
Jason E. Hein, Tara Zepel, Melodie Christensen, Finn Bork, Lars P. E. Yunker, Paloma L. Prieto, Shad Grunert, Parisa Shiri
Publikováno v:
Chemical Science
Automation has become an increasingly popular tool for synthetic chemists over the past decade. Recent advances in robotics and computer science have led to the emergence of automated systems that execute common laboratory procedures including parall
Autor:
Alán Aspuru-Guzik, Tobias Gensch, Florian Häse, Gabriel dos Passos Gomes, Tara Zepel, Lars P. E. Yunker, Folarin Adedeji, Jason E. Hein, Loïc M. Roch, Matthew S. Sigman, Melodie Christensen
Publikováno v:
Communications Chemistry, Vol 4, Iss 1, Pp 1-12 (2021)
Autonomous process optimization involves the human intervention-free exploration of a range of pre-defined process parameters in order to improve responses such as reaction yield and product selectivity. Utilizing off-the-shelf components, we develop
Publikováno v:
Accounts of chemical research. 54(3)
Data science has revolutionized chemical research and continues to break down barriers with new interdisciplinary studies. The introduction of computational models and machine learning (ML) algorithms in combination with automation and traditional ex
Chemists spend an inordinate amount of time performing low-level tasks based on visual observation. Camera-enabled laboratory equipment in conversation with computer vision algorithms can be used to automate many of these processes, thereby freeing u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::430a55b9e078f632898824799e36191e
https://doi.org/10.26434/chemrxiv.12798143
https://doi.org/10.26434/chemrxiv.12798143