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相关概念视频

Preparation of Samples for Electron Microscopy01:20

Preparation of Samples for Electron Microscopy

To be visualized by an electron microscope, either transmission or scanning, biological samples need to be fixed (stabilized) so the electron beam does not destroy them and dried thoroughly (desiccated/dehydrated) so the vacuum does not affect them. Fixation needs to be done as quickly as possible because the sample properties will start changing as soon as it is removed from its natural environment. For example, in a tissue sample, the oxygen levels begin decreasing, causing an altered...
Modeling and Similitude01:12

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

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相关实验视频

Updated: Jun 23, 2026

Printing Thermoresponsive Reverse Molds for the Creation of Patterned Two-component Hydrogels for 3D Cell Culture
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数据驱动的可打印模拟水凝用于精确的直接墨水写作,基于风学性质.

Eun Hui Jeong1, Jiho Choi2, Han Bi Park2

  • 1Department of Chemical and Biological Engineering, Sookmyung Women's university, Seoul, 04310, Republic of Korea.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|July 4, 2025
PubMed
概括
此摘要是机器生成的。

这项研究将水凝类风湿学与使用机器学习的3D打印成功联系起来. 了解这些特性,可以更好地设计用于软机器人和电子设备的水凝油墨.

关键词:
可以进行3D打印.3D/4D打印可以使用3D/4D打印.机器学习是机器学习.软机器人软机器人 软机器人刺激-响应性的刺激.

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科学领域:

  • 材料科学 材料科学 材料科学
  • 机器人工程 机器人工程 机器人工程
  • 聚合物化学 聚合物化学

背景情况:

  • 由于其机械性能和可持续性,水凝越来越多地用于软机器人和电子产品.
  • 水凝的三维 (3D) 打印是一种关键的制造方法,但打印能力尚不清楚.
  • 对于成功的水凝3D打印而言,风病学行为至关重要.

研究的目的:

  • 量化研究水凝类风湿学与3D打印能力之间的关系.
  • 使用机器学习开发水凝打印能力的预测模型.
  • 确定影响软机器人和电子应用的打印能力的关键质参数.

主要方法:

  • 编制150个3D打印水凝的数据库,其中包括风湿学数据.
  • 使用了非线性风湿学指标,包括大振幅振荡剪切 (LAOS).
  • 采用机器学习 (随机森林回归) 来基于风湿学数据建模可打印性.

主要成果:

  • 开发了一种具有10%误差率的水凝打印能力的预测模型.
  • 确定水平打印能力取决于挤出后的恢复和放松.
  • 确定垂直打印能力在高应变率挤出过程中受粘性反应的控制.

结论:

  • 建立了水凝类风湿学和3D打印能力之间的定量联系.
  • 这些发现促进了水凝油墨的可持续设计,用于先进制造.
  • 通过优化的3D打印工艺,实现了软机器人和电子结构的精确制造.