Reference Type | Journal (article/letter/editorial) |
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Title | AI Agents for UHPC experimental design: High strength and low cost with fewer experimental trials |
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Journal | Construction and Building Materials |
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Authors | Altayeb, Mohamedelmujtaba | Author |
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Wang, Xin | Author |
Mahmoud, Maha R.I. | Author |
Ali, Yahia M.S. | Author |
Al-Shami, Haithm A.M. | Author |
Jiang, Kaidi | Author |
Year | 2024 (February) | Volume | 416 |
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Publisher | Elsevier BV |
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DOI | doi:10.1016/j.conbuildmat.2024.135206Search in ResearchGate |
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| Generate Citation Formats |
Mindat Ref. ID | 17157031 | Long-form Identifier | mindat:1:5:17157031:3 |
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GUID | 0 |
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Full Reference | Altayeb, Mohamedelmujtaba, Wang, Xin, Mahmoud, Maha R.I., Ali, Yahia M.S., Al-Shami, Haithm A.M., Jiang, Kaidi (2024) AI Agents for UHPC experimental design: High strength and low cost with fewer experimental trials. Construction and Building Materials, 416. 135206 doi:10.1016/j.conbuildmat.2024.135206 |
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Plain Text | Altayeb, Mohamedelmujtaba, Wang, Xin, Mahmoud, Maha R.I., Ali, Yahia M.S., Al-Shami, Haithm A.M., Jiang, Kaidi (2024) AI Agents for UHPC experimental design: High strength and low cost with fewer experimental trials. Construction and Building Materials, 416. 135206 doi:10.1016/j.conbuildmat.2024.135206 |
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In | (2024) Construction and Building Materials Vol. 416. Elsevier BV |
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