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Citation: Yao Shu-Wen, Guo Jin, Wang Xue-Ye, Chen Nian-Yi. ANN-Atomic Parameter Method Applied to Prediction of Crystal-type and Lattice Constants of Alloy Phases[J]. Acta Physico-Chimica Sinica, ;1996, 12(09): 809-811. doi: 10.3866/PKU.WHXB19960907 shu

ANN-Atomic Parameter Method Applied to Prediction of Crystal-type and Lattice Constants of Alloy Phases

1.
Shanghai Institute of Metallurgy,Chinese Academy of Sciences,Shanghai 200050

Received Date: 25 March 1996
Available Online: 15 September 1996

Artificial neural network method has been applied to the computerized prediction of the crystal type and lattice constants of binary alloy phases by using atomic parameters of the constituent elements, the results obtained are satisfactory.
- Artificial neural network,
- Atomic structure,
- Crystal type,
- Lattice constant
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  南开大学师唯/华北电力大学（保定）刘景维：二维配位聚合物中有序的亲锂冠醚位点用于无枝晶锂沉积
  . CCS Chemistry, 2025, 7(0): -.

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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ANN-Atomic Parameter Method Applied to Prediction of Crystal-type and Lattice Constants of Alloy Phases

南开大学师唯/华北电力大学（保定）刘景维：二维配位聚合物中有序的亲锂冠醚位点用于无枝晶锂沉积

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通讯作者: 陈斌, bchen63@163.com