Arslan Akbar
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Machine-Learning-Assisted Discovery of Cr3+-Based Near-Infrared Phosphors
Special Issue Published as part of Chemistry of Materials special issue “Machine Learning for Materials Chemistry”. 1. Introduction Click to copy section linkSection link copied! Near-infrared (NIR) light covers three distinct regions of the electromagnetic spectrum with wavelengths ranging between 650 and 950 nm (NIR I), 1000 and 1350 nm (NIR II), and 1550 and 1870 nm (NIR III). Each region has unique applications in spectroscopy among other technologies.
Investigating the Mechanical and Durability Properties of Carbonated Recycled Aggregate Concrete and Its Performance with SCMs
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Application of gene expression programming (GEP) for the prediction of compressive strength of geopolymer concrete
For the production of geopolymer concrete (GPC), fly-ash (FA) like waste material has been effectively utilized by various researchers. In this paper, the soft computing techniques known as gene expression programming (GEP) are executed to deliver an empirical equation to estimate the compressive strength fc 1 of GPC made by employing FA. To build a model, a consistent, extensive and reliable data base is compiled through a detailed review of the published research.
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