摘要
由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-关于人工智能的新研究结果已经发表。根据NewsRx Jour Nalists在印度罗基的新闻报道，研究表明：“流体体积法被广泛地用于包括表面张力在内的两相流中的界面捕获。”这项研究的财政支持者包括科学和工程研究委员会。我们的新闻记者从印度技术研究所Roorkee的研究中得到一句话：“计算表面力需要精确的局部界面曲率，尽管受到了相当大的关注，但由于界面附近体积分数的突变，这仍然是一个挑战。根据最近显示数据驱动技术潜力的研究，本文首次提出了一种基于多层人工神经网络的机器学习(ML)模型,用于预测结构网格上的曲率.利用已知形状的圆弧界面段,生成了包含界面曲率和体积分数的综合训练数据集,并仔细地获得了最优的模型构型.随着5 x 5输入模板的增大，测试数据和分析测试用例的计算精度提高。然而，在涉及复杂geom测试的模拟中，需要将模型扩展到非结构化网格，并非易事。为了克服这些限制，提出了一种局部界面重新映射算法，将目标单元周围的模板转换为结构化模板，以生成输入数据集。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New study results on artificial intelligence have been published. According to news reporting from Roorkee, India, by NewsRx jour nalists, research stated, "The volume of fluid method is widely used for interfa ce capturing in two-phase flows including surface tension." Financial supporters for this research include Science And Engineering Research Board. Our news reporters obtained a quote from the research from Indian Institute of T echnology Roorkee: "Calculation of surface forces requires accurate local interf acial curvature, which, despite receiving considerable attention, remains a chal lenge due to the abrupt variation of volume fraction near the interface. Based o n recent studies showing the potential of data-driven techniques, a machine lear ning (ML) model using a multi-layered artificial neural network is initially dev eloped to predict curvature on structured grids. Known shapes in the form of cir cular interface segments are used to generate a synthetic training dataset consi sting of interfacial curvature and volume fractions. An optimum model configurat ion is carefully obtained, with a larger 5 x 5 input stencil showing increased a ccuracy for test data along with analytical test cases. However, an extension of the model to unstructured grids, required in simulations involving complex geom etries, is non-trivial. To overcome the limitations, a local interface remapping algorithm is proposed where the stencil around a target cell is transformed int o a structured stencil for the generation of the input dataset."
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