利用物联网加速纳米流体研究：堪萨斯大学案例研究
技术
- 分析与建模 - 数字孪生/模拟
- 机器人 - 并联机器人
适用行业
- 设备与机械
- 生命科学
适用功能
- 采购
- 产品研发
用例
- 数字孪生
- 虚拟现实
关于客户
本案例研究中的客户是堪萨斯大学研究生 Eric Lee。他的研究重点是纳米流体学，特别是纳米润湿问题。纳米流体学是对纳米尺寸物体内部和周围的纳米流的研究，是微流体装置小型化至纳米尺度的基础。 Eric 使用分子动力学代码（例如 LAMMPS）进行计算分析。他的工作要求他快速高效地运行多项分析，因此需要访问可与 LAMMPS 无缝协作的大型计算集群。
挑战
埃里克·李 (Eric Lee) 是堪萨斯大学的研究生，正在进行纳米流体学研究，特别是纳米润湿问题。他的工作涉及使用分子动力学代码，例如 LAMMPS（大规模原子/分子大规模并行模拟器）进行计算分析。然而，为了充分利用 LAMMPS 的可扩展性并加快分析速度，他需要访问可以与 LAMMPS 无缝协作的大型计算集群。他还需要一个可以支持他的特定版本的 LAMMPS 以及他想要上传的任何自定义脚本的平台。我们面临的挑战是找到一种解决方案，既能提供必要的计算能力和软件兼容性，同时又易于用户使用并能满足其特定需求。
解决方案
该解决方案以 Rescale 的形式出现，该平台支持 LAMMPS 和许多其他跨领域的软件代码。 Rescale 的硬件是最先进的，有望为 LAMMPS 作业提供更快的运行时间。最初，Rescale 没有包含 Eric 工作所需的一些自定义 LAMMPS 软件包，但他们的工程师很快解决了这个问题。该平台还提供快速且有用的客户支持，在几个小时内回复 Eric 的疑问，并提供有用的屏幕截图来指导他设置 LAMMPS 工作。在 Rescale 上运行作业的过程简单明了，包括设置模拟名称、选择所需的内核数量、上传输入文件和关联的数据文件、选择分析类型以及提交作业。
运营影响
数量效益
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