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人工智能驱动的Cu2O改性的优化:对风病,衰老和湿度敏感性表现的多尺度评估

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
概括

这项研究将氧化铜 (Cu2O) 整合到青中,使用人工智能 (AI) 来优化青粘合剂的性能. 建议使用2.3%的Cu2O度,以实现最佳的成本与性能平衡.

关键词:
人工智能建模模型2O改性青是 Cu2O 的一种改性青.粘合剂的性能 粘合剂的性能梯度增强可以提高梯度.网格搜索 网格搜索 网格搜索湿度易感性的敏感性优化的优化优化优化.类风病学 类风病学 类风病学

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