Zobrazeno 1 - 10
of 797
pro vyhledávání: '"A G, Doyle"'
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Diet-related noncommunicable diseases (NCDs) are a leading cause of ill-health and death across Europe. In Ireland, dietary intakes of saturated fat, free sugar and salt exceed World Health Organization recommendations, and excess
Externí odkaz:
https://doaj.org/article/bc3c7247a1c843bf99b8f0a854930493
Autor:
Hongyuan Sheng, Jingwen Sun, Oliver Rodríguez, Benjamin B. Hoar, Weitong Zhang, Danlei Xiang, Tianhua Tang, Avijit Hazra, Daniel S. Min, Abigail G. Doyle, Matthew S. Sigman, Cyrille Costentin, Quanquan Gu, Joaquín Rodríguez-López, Chong Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Electrochemical research often requires stringent combinations of experimental parameters that are demanding to manually locate. Recent advances in automated instrumentation and machine-learning algorithms unlock the possibility for accelera
Externí odkaz:
https://doaj.org/article/6a2486d0837e42c5b7f7d36140605d65
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/82412f2615524ac5bee36911efc92686
Autor:
Priyanka Raghavan, Brittany C. Haas, Madeline E. Ruos, Jules Schleinitz, Abigail G. Doyle, Sarah E. Reisman, Matthew S. Sigman, Connor W. Coley
Publikováno v:
ACS Central Science, Vol 9, Iss 12, Pp 2196-2204 (2023)
Externí odkaz:
https://doaj.org/article/6c4d5d063a7845fda184e99049e21975
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
When carbon-based units are functionalized in photoredox catalysis, electrophilic coupling partners are often used, such that the polarities of the two fragments are appropriately matched. Here the authors show a generalized methodology to instead us
Externí odkaz:
https://doaj.org/article/14785e67fb6e4df39d7bb7b889aac3d0
Autor:
Wendy L. Williams, Lingyu Zeng, Tobias Gensch, Matthew S. Sigman, Abigail G. Doyle, Eric V. Anslyn
Publikováno v:
ACS Central Science, Vol 7, Iss 10, Pp 1622-1637 (2021)
Externí odkaz:
https://doaj.org/article/033c4aa85e0f41179468df46019f901d
Publikováno v:
Journal of the American Chemical Society. 145:9928-9950
Publikováno v:
Journal of the American Chemical Society. 145:7898-7909
Autor:
Michael G. Doyle, Melanie T. Odenkirk, Allison K. Stewart, Jacob P. Nelson, Erin S. Baker, Florentino De La Cruz
Publikováno v:
ACS ES&T Water. 2:2502-2509
Autor:
Olaf Wiest, Abigail G. Doyle, Andrzej Zuranski, Nitesh V. Chawla, Thierry Kogej, Bozhao Nan, Per-Ola Norrby, John E. Herr, Zhichun Guo, Jessica Wahlers, Mandana Saebi
Publikováno v:
Chemical science, vol 14, iss 19
The lack of publicly available, large, and unbiased datasets is a key bottleneck for the application of machine learning (ML) methods in synthetic chemistry. Data from electronic laboratory notebooks (ELNs) could provide less biased, large datasets,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::755e7e29e9f93af06206bffae4e400cb
https://escholarship.org/uc/item/794598q3
https://escholarship.org/uc/item/794598q3