论文标题

可再现的吸附材料铸造型用于碳捕获

Reproducible Sorbent Materials Foundry for Carbon Capture at Scale

论文作者

McDannald, Austin, Joress, Howie, DeCost, Brian, Baumann, Avery E., Kusne, A. Gilad, Choudhary, Kamal, Yildirim, Taner, Siderius, Daniel W., Wong-Ng, Winnie, Allen, Andrew J., Stafford, Christopher M., Ortiz-Montalvo, Diana

论文摘要

我们设想了一种自主吸附剂材料铸造厂(SMF),用于快速评估直接捕获二氧化碳(CO2)的材料,专门针对新型的金属有机框架材料。我们提出的SMF是分层的,同时解决了吸附材料综合,处理,属性和性能相关空间中最关键的差距。以敏捷,协调和自动化的方式收集这些关键数据流的能力将通过机器学习驱动的研究框架来实现有效的端到端吸附材料设计。

We envision an autonomous sorbent materials foundry (SMF) for rapidly evaluating materials for direct air capture of carbon dioxide (CO2), specifically targeting novel metal organic framework materials. Our proposed SMF is hierarchical, simultaneously addressing the most critical gaps in the inter-related space of sorbent material synthesis, processing, properties, and performance. The ability to collect these critical data streams in an agile, coordinated, and automated fashion will enable efficient end-to-end sorbent materials design through machine learning driven research framework.

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