论文标题
Microai：用于快速计算微通道中升力系数的机器学习工具
microAI: A machine learning tool for fast calculation of lift coefficients in microchannels
论文作者
论文摘要
已经提出了多种方法来计算微流体通道中的提升系数。最常用的方法之一是使用直接数值模拟。 DNS是一种非常准确但计算昂贵的方法。 DNS计算包括在商业软件进行的微流体模拟上消耗的大部分时间。本文提出了一个名为Microai的用户友好，快速和准确的WebApp，可以计算通道的微流体升力系数。我们还研究了不同类型的激活函数和优化器在收敛性和最终函数的不同之处的影响。 Microai已部署到HuggingFace，可在\ url {https://erfanhamdi.github.io/microai/}上访问
There have been multiple methods proposed to calculate lift coefficients in microfluidic channels. One of the most used methods is using Direct Numerical Simulation. DNS is a very accurate yet computationally expensive method. DNS computations comprise most of the time consumed on a microfluidic simulation done by commercial software. This paper proposes a user-friendly, fast, and accurate AI-based webapp named microAI that can calculate the microfluidic lift coefficients of channels. We have also studied the effects of different types of activation functions and optimizers in convergence and the final function's differentiability. microAI is deployed to huggingface and is accessible at \url{https://erfanhamdi.github.io/microAI/}
