The case for data science in experimental chemistry: examples and recommendations

The physical sciences community is increasingly taking advantage of the possibilities offered by modern data science to solve problems in experimental chemistry and potentially to change the way we design, conduct and understand results from experiments. Successfully exploiting these opportunities i...

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Vydáno v:	Nature reviews. Chemistry Ročník 6; číslo 5; s. 357 - 370
Hlavní autoři:	Yano, Junko, Gaffney, Kelly J., Gregoire, John, Hung, Linda, Ourmazd, Abbas, Schrier, Joshua, Sethian, James A., Toma, Francesca M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 01.05.2022 Nature Publishing Group Springer Nature
Témata:	639/638/440 639/638/675 639/638/77 Algorithms Analytical Chemistry Biochemistry Catalysis Chemistry Chemistry and Materials Science Chemistry/Food Science Chemists Co-design Data science Energy Experiments Expert Recommendation Inorganic Chemistry INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY Organic Chemistry Physical Chemistry Physical sciences
ISSN:	2397-3358, 2397-3358
On-line přístup:	Získat plný text
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