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Updated: Jun 30, 2025

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基于主动学习的指导合成工程生物炭用于CO2捕获

Xiangzhou Yuan1,2, Manu Suvarna3, Juin Yau Lim2

  • 1Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control, School of Energy and Environment, Southeast University, Nanjing 210096, China.

Environmental science & technology
|March 18, 2024
PubMed
概括

积极的学习策略加速了从生物质废物中合成的工程生物炭的合成,以提高二氧化碳 (CO2) 捕获的速度. 这种数据驱动的方法几乎使生物炭材料的二氧化碳吸收增加了一倍,有助于缓解气候变化.

关键词:
联合国可持续发展目标13碳中和是指碳中和.环境可持续性 环境可持续性设计的反向设计.机器学习是机器学习.粒子群集优化 粒子群集优化

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