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AI-Driven Optimization of Cu2O Modified Bitumen: A Multi-Scale Evaluation of Rheological, Aging, and Moisture

Sebnem Karahancer1

  • 1Department of Civil Engineering, Faculty of Technology, Isparta University of Applied Sciences, 100. Yil Campus, 32260 Isparta, Turkey.

Materials (Basel, Switzerland)
|September 13, 2025
PubMed

Keywords:
AI modelingCu2O modified bitumenbinder performancegradient boostinggrid searchmoisture susceptibilityoptimizationrheology

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