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Updated: Jul 11, 2025

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人工神经网络用于通过分子动力学模拟预测晶体聚胺12的机械性质

Caglar Tamur1, Shaofan Li1, Danielle Zeng2

  • 1Department of Civil and Environmental Engineering, University of California, Berkeley, CA 92740, USA.

Polymers
|November 14, 2023
PubMed
概括

本研究使用人工神经网络 (ANN) 来预测3D打印的聚胺12 (PA12) 的机械性能. 这种机器学习方法准确地模拟了增材制造应用的压力-应变行为.

关键词:
在ReaxFFFF中使用.晶体聚合物是一种聚合物.机器学习是机器学习.分子动力学分子动力学神经网络的神经网络的神经网络聚胺聚胺的使用方法

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Polymer Classification: Crystallinity01:21

Polymer Classification: Crystallinity

Unlike ionic or small covalent molecules, polymers do not form crystalline solids due to the diffusion limitations of their long-chain structures. However, polymers contain microscopic crystalline domains separated by amorphous domains.
Crystalline domains are the regions where polymer chains are aligned in an orderly manner and held together in proximity by intermolecular forces. For example, chains in the crystalline domains of polyethylene and nylon are bound together by van der Waals...
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