Working Smarter: Leveraging Machine Learning to Optimize CO2 Adsorption

Machine Learning to Optimize CO₂

Scientists employ artificial intelligence to guide the design of biomass waste-derived novel materials for CO2 capture Biomass waste can be used to produce porous carbons capable of sequestering CO2 gas emitted from large point sources (e.g., power plants, cement industries). However, there are no general guidelines on how such high-quality porous carbons should be synthesized … Read more