Abstract
<jats:p>This research addresses the critical need for sustainable construction by investigating novel mortar formulations integrating algae, fly ash, and industrial slag. Our study presents a comprehensive approach combining experimental investigation with advanced data-centric methodologies, including materials informatics, machine learning, and Artificial Intelligence. This interdisciplinary strategy facilitates a significant paradigm shift, moving beyond traditional, time-intensive experimental methods. The findings highlight the substantial potential of these bio-based and industrial by-product additions to enhance mechanical properties and improve durability, while concurrently reducing the environmental footprint of cement-based composites. By leveraging high-throughput computation and big data analytics, we demonstrate an accelerated discovery and optimization process for complex multi-component material systems. This efficient exploration of vast combinatorial spaces effectively curtails the research and development cycle, minimizing human and material expenditures. This integrated methodology not only contributes directly to greener building practices but also establishes a robust framework for future innovations in functional material engineering, transforming material design and development.</jats:p>