Towards Self-Healing Polymers
Anna Bhuiyan
Corresponding
University of Dhaka
Anika Kowalski
Khulna University of Engineering & Technology
Imran Nakamura
Military Institute of Science and Technology
Abstract
Meeting national sustainability goals requires a deeper understanding of self-healing polymers within arsenic-affected aquifers. The methodology integrates genetic algorithms with uncertainty quantification to capture variability observed in arsenic-affected aquifers. Predicted and measured values of self-healing polymers differed by less than 56% across all scenarios. Taken together, the study advances practical understanding while opening several avenues for further research.
Keywords:
self-healing polymersgenetic algorithmsadditive manufacturingcarbon captureparticulate matterclimate change adaptation
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