Machine Learning-enabled Screening LCA method and Tool (M-SLCA) - A Chatbot Solution for S — NSF Award to University of Notre Dame
Many small- and medium-sized companies that manufacture construction materials face growing pressure to improve environmental performance and meet new sustainability requirements. However, they often lack the technical capacity or financial resources to do so. This research addresses a critical need by developing a low
| Award title | Machine Learning-enabled Screening LCA method and Tool (M-SLCA) - A Chatbot Solution for S |
|---|---|
| Award ID | 2524729 |
| Awardee | University of Notre Dame |
| City | NOTRE DAME |
| State | IN |
| Amount obligated | $450,000 |
| Principal investigator | Ming Hu |
| Program | EnvS-Environmtl Sustainability |
| Start date | 10/01/2025 |
| Abstract | Many small- and medium-sized companies that manufacture construction materials face growing pressure to improve environmental performance and meet new sustainability requirements. However, they often lack the technical capacity or financial resources to do so. This research addresses a critical need by developing a low-cost, easy-to-use method for estimating the environmental impacts of building materials. By combining artificial intelligence with life cycle science, the project will enable manu |
| Source | NSF Awards |
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