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Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

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The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...
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Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
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多功能格子元材料的自下而上的设计框架.

Zongxin Hu1, Quanqing Tao1, Junhao Ding1

  • 1Department of Mechanical and Automation Engineering, Chinese University of Hong Kong, Hong Kong, SAR, China.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|February 26, 2026
PubMed
概括

本研究介绍了用于设计多功能格子元材料的生成性AI框架. 人工智能框架能够优化能量和宽带声音吸收,优于传统方法.

关键词:
能量吸收 能量吸收设计的反向设计.格子超材料的格子超材料.机器学习是机器学习.多功能优化多功能优化

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科学领域:

  • 材料科学与工程 材料科学与工程
  • 设计中的人工智能
  • 超材料是什么?超材料是什么?

背景情况:

  • 对轻量级,多功能格子超材料的需求日益增加.
  • 传统的逆向设计方法 (例如,拓优化) 在探索设计空间时的局限性.
  • 需要先进的方法来实现复杂的结构设计,以提高性能.

研究的目的:

  • 引入一种新的生成人工智能框架,用于晶格元材料的反向设计.
  • 为了使外格子结构的设计具有最佳的能量吸收和宽带声音吸收.
  • 通过增强设计自由和结构复杂性来克服传统方法的局限性.

主要方法:

  • 一个生成性AI框架,将3D高斯语音生成和深度学习结合起来.
  • 混合架构:3D卷积神经网络 (CNN) 和条件深卷积生成对抗网络 (cDCGAN) 用于能量吸收预测和生成.
  • 为宽带声音吸收调整异质几何形状的遗传算法.

主要成果:

  • 设计的外格子结构显示出卓越的多功能性.
  • 与传统的外格相比,实现了40%至200%的更高的能量吸收.
  • 在宽带宽 (1000-5800 Hz) 中表现出高的平均声音吸收系数 (∼0.7).

结论:

  • 提出的生成人工智能框架克服了现有的反向设计方法的缺点.
  • 基于物理洞察力的Voxel级模型生成增强了设计能力.
  • 在创建先进的多功能晶格元材料方面表现出有效性.