摘要
由一名新闻记者兼机器人与机器学习每日新闻编辑-研究人员详细介绍了机器学习的新数据。根据News Rx记者来自加拿大多伦多的新闻报道，Research称：“格子Boltzmann方法(LBM)由于其计算可扩展性的强大潜力而成为解决流体力学问题的突出技术。我们介绍了XLB库，这是一个基于Pyt Hon的基于JAX平台的可微LBM库。”
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Toronto, Canada, by News Rx correspondents, research stated, “The lattice Boltzmann method (LBM) has emer ged as a prominent technique for solving fluid dynamics problems due to its algo rithmic potential for computational scalability. We introduce XLB library, a Pyt hon -based differentiable LBM library based on the JAX platform.”
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