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The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Designing for a green chemistry future

Zimmerman, Julie B., Anastas, Paul T., Erythropel, Hanno C., Leitner, Walter·2020·Science

Abstract

The material basis of a sustainable society will depend on chemical products and processes that are designed following principles that make them conducive to life. Important inherent properties of molecules need to be considered from the earliest stage—the design stage—to address whether compounds and processes are depleting versus renewable, toxic versus benign, and persistent versus readily degradable. Products, feedstocks, and manufacturing processes will need to integrate the principles of green chemistry and green engineering under an expanded definition of performance that includes sustainability considerations. This transformation will require the best of the traditions of science and innovation coupled with new emerging systems thinking and systems design that begins at the molecular level and results in a positive impact on the global scale.

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Cites

Show all 6 references

Research works printed but not linked: 37

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Metadata

Authors
Zimmerman, J. B., Anastas, P. T., Erythropel, H. C., & Leitner, W.
Venue
Science
Published
2020-01-24
Volume
367
Issue
6476
Pages
397-400
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W3001807933
Cited by
1,241
References
6
FWCI
53.90
Type
journal article
Language
en
Open access
closed
Funders
  • National Science Foundation (1339637)
  • Deutsche Forschungsgemeinschaft (390919832)
  • Bundesministerium für Bildung und Forschung (03SFK2A)

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CoChat. (2026). Citation check: Designing for a green chemistry future. https://app.cochat.ai/papers/10.1126/science.aay3060
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Zimmerman, J. B., Anastas, P. T., Erythropel, H. C., & Leitner, W. (2020). Designing for a green chemistry future. Science. https://doi.org/10.1126/science.aay3060

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.