CO2,使

Sarang Ismail1, Habibollah Safari1, Mona Bavarian1

  • 1Department of Chemical and Biomolecular Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, United States.

Industrial & engineering chemistry research
|March 3, 2025
PubMed
概括

生成型人工智能加速了用于二氧化碳捕获的支持离子液体膜 (SILM) 的发现. 这种人工智能驱动的方法显著降低了实验成本和时间,使先进的碳捕获材料的高效开发成为可能.