Towards net zero by data-driven discovery of sustainable cement alternatives
The construction industry faces mounting pressure to reduce its carbon footprint, with cement production alone contributing over 6% of global greenhouse gas emissions. In recent work, machine learning models screened over 14,000 materials from scientific literature and 1 million rock samples, identi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Communications Chemistry |
| Online Access: | https://doi.org/10.1038/s42004-025-01608-w |
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| _version_ | 1849333284030382080 |
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| author | Jack D. Evans |
| author_facet | Jack D. Evans |
| author_sort | Jack D. Evans |
| collection | DOAJ |
| description | The construction industry faces mounting pressure to reduce its carbon footprint, with cement production alone contributing over 6% of global greenhouse gas emissions. In recent work, machine learning models screened over 14,000 materials from scientific literature and 1 million rock samples, identifying a diverse set of secondary and natural materials that could partially replace global cement production. |
| format | Article |
| id | doaj-art-3bc435dfcd24406586c1255a0fc3babf |
| institution | Kabale University |
| issn | 2399-3669 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Chemistry |
| spelling | doaj-art-3bc435dfcd24406586c1255a0fc3babf2025-08-20T03:45:56ZengNature PortfolioCommunications Chemistry2399-36692025-07-01811210.1038/s42004-025-01608-wTowards net zero by data-driven discovery of sustainable cement alternativesJack D. Evans0School of Physics, Chemistry and Earth Sciences, The University of AdelaideThe construction industry faces mounting pressure to reduce its carbon footprint, with cement production alone contributing over 6% of global greenhouse gas emissions. In recent work, machine learning models screened over 14,000 materials from scientific literature and 1 million rock samples, identifying a diverse set of secondary and natural materials that could partially replace global cement production.https://doi.org/10.1038/s42004-025-01608-w |
| spellingShingle | Jack D. Evans Towards net zero by data-driven discovery of sustainable cement alternatives Communications Chemistry |
| title | Towards net zero by data-driven discovery of sustainable cement alternatives |
| title_full | Towards net zero by data-driven discovery of sustainable cement alternatives |
| title_fullStr | Towards net zero by data-driven discovery of sustainable cement alternatives |
| title_full_unstemmed | Towards net zero by data-driven discovery of sustainable cement alternatives |
| title_short | Towards net zero by data-driven discovery of sustainable cement alternatives |
| title_sort | towards net zero by data driven discovery of sustainable cement alternatives |
| url | https://doi.org/10.1038/s42004-025-01608-w |
| work_keys_str_mv | AT jackdevans towardsnetzerobydatadrivendiscoveryofsustainablecementalternatives |