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Updated: Jun 30, 2025

Combustion Characterization and Model Fuel Development for Micro-tubular Flame-assisted Fuel Cells
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Published on: October 2, 2016

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数据驱动型模型和可持续燃烧技术的数字双胞胎

Alessandro Parente1,2,3, Nedunchezhian Swaminathan4

  • 1Aero-Thermo-Mechanics Department, École polytechnique de Bruxelles, Université libre de Bruxelles, Avenue Franklin D. Roosevelt 50, 1050 Brussels, Belgium.

iScience
|March 19, 2024
PubMed
概括

数据和人工智能是推动可持续燃烧技术发展的关键. 为复杂的工业系统开发精确的数字双胞胎需要克服数据可用性和模拟准确性的挑战,以实现脱碳化目标.

关键词:
能源的可持续性 能源的可持续性机器学习是机器学习.

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