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相关概念视频

Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...

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多功能双连续多尺度结构的数据驱动反向设计.

Lili Wang1,2, Jingxuan Feng1, Xiaoya Zhai3

  • 1School of Mathematical Sciences, University of Science and Technology of China, Hefei, Anhui, China.

Nature communications
|January 8, 2026
PubMed
概括

本研究介绍了用于设计复杂结构的大范围,边界相同,双连续和开放细胞微结构 (L-BOM) 数据集. 这些人工智能生成的数据集能够快速,数据驱动的反向设计具有可调节性质的多功能材料.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 计算机建模 计算建模
  • 添加剂制造 添加剂制造 添加剂制造

背景情况:

  • 双连续的多尺度结构拥有独特的相互连接网络,提供卓越的性能.
  • 由于缺乏分析模型和优化中的计算复杂性,设计这些结构具有挑战性.
  • 现有的方法通常需要后处理,以确保结构完整性和连接性.

研究的目的:

  • 呈现新的3D大范围,边界相同,双连续和开放细胞微结构 (L-BOM) 数据集.
  • 为了实现多功能双连续结构的快速,数据驱动的反向设计.
  • 克服复杂微观结构当前设计方法的局限性.

主要方法:

  • 开发生成型人工智能模型.
  • 积极学习技术的应用用于数据集生成.
  • 创建具有相同边界和广泛财产覆盖的数据集.

主要成果:

  • 生成的L-BOM数据集,具有具有保证连接性的双连续开放细胞架构.
  • 证明了广泛的财产覆盖面,用于广泛的性能探索.
  • 成功地利用数据集进行反向设计,而不需要用于连接的后处理.

结论:

  • L-BOM 数据集显著提升了双连续多层结构的设计能力.
  • 这些数据集促进了对多功能材料的大型物业空间的探索.
  • 潜在的应用包括骨植入物的设计,椅子部件,以及具有可调节弹性和透性的材料.