Systematically Improving Espresso: Insights from Mathematical Modeling and Experiment Article Swipe

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Michael I. Cameron , Dechen Morisco , Daniel Hofstetter , Erol Uman , Justin Wilkinson , Zachary C. Kennedy , S.A. Fontenot , William T. Lee , Christopher H. Hendon , Jamie M. Foster ·

YOU? · · 2020 · Open Access · · DOI: https://doi.org/10.1016/j.matt.2019.12.019

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.matt.2019.12.019
PDF: http://www.cell.com/article/S2590238519304102/pdf
OA Status: bronze
Cited By: 40
References: 33
Related Works: 10
OpenAlex ID: https://openalex.org/W3002824428

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OpenAlex ID: https://openalex.org/W3002824428

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DOI: https://doi.org/10.1016/j.matt.2019.12.019

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Title: Systematically Improving Espresso: Insights from Mathematical Modeling and Experiment

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Type: article

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Language: en

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Publication year: 2020

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Publication date: 2020-01-22

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Authors: Michael I. Cameron, Dechen Morisco, Daniel Hofstetter, Erol Uman, Justin Wilkinson, Zachary C. Kennedy, S.A. Fontenot, William T. Lee, Christopher H. Hendon, Jamie M. Foster

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Landing page: https://doi.org/10.1016/j.matt.2019.12.019

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PDF URL: https://www.cell.com/article/S2590238519304102/pdf

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OA status: bronze

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OA URL: https://www.cell.com/article/S2590238519304102/pdf

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Concepts: Computer science

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Cited by: 40

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Citations by year (recent): 2025: 4, 2024: 6, 2023: 16, 2022: 5, 2021: 6

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References (count): 33

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referenced_works_count	33
abstract_inverted_index
cited_by_percentile_year.max	100
cited_by_percentile_year.min	96
corresponding_author_ids	https://openalex.org/A5079843159, https://openalex.org/A5080462756
countries_distinct_count	3
institutions_distinct_count	10
corresponding_institution_ids	https://openalex.org/I181233156, https://openalex.org/I63072094
sustainable_development_goals[0].id	https://metadata.un.org/sdg/12
sustainable_development_goals[0].score	0.5
sustainable_development_goals[0].display_name	Responsible consumption and production
citation_normalized_percentile.value	0.9544811
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	True