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使用MeshGraphNets加速计算流体动力学模拟燃烧后的碳捕获建模

Bo Lei1, Yucheng Fu2, Jose Cadena1

  • 1Lawrence Livermore National Laboratory, Livermore, CA, United States.

Frontiers in artificial intelligence
|January 23, 2025
PubMed
概括

基于数据的方法MeshGraphNets (MGN) 加快了碳捕获系统的建模. 这种人工智能模型准确地预测二氧化碳捕获效率比传统方法快1700倍,有助于系统优化.

关键词:
碳捕获 碳捕获 碳捕获计算流体动力学的流体动力学.设计优化设计优化图形神经网络的神经网络机器学习是机器学习.代孕模拟的代孕模拟

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