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使用人工神经网络的TiO2/ZnO/CS纳米复合物的抗菌功效的预测建模

Mohd Azam Mohd Adnan1, Mohd Arif Mat Norman1, Mohd Fadhil Majnis2

  • 1Advanced Materials & Manufacturing Research Group (AMMRG), Faculty of Engineering and Life Sciences, Universiti Selangor, Bestari Jaya Campus, Jalan Timur Tambahan, 45600, Bestari Jaya, Selangor, Malaysia.

International journal of biological macromolecules
|February 11, 2026
PubMed
概括

一种新的TiO2/ZnO/CS纳米复合物显示出强大的抗菌特性,对抗药物耐药的病原体. 使用人工神经网络 (ANN) 模型来了解其有效性,为人工智能驱动的材料设计铺平了道路.

关键词:
具有抗菌活性,具有抗菌活性.人工神经网络 (ANN) 的人工神经网络基于CS的材料是基于CS的.机器学习辅助的材料设计.在纳米复合材料.

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