Unlocking the Potential of Graph Neural Networks for Speeding Up Adsorption Processes
Today, scientists have discovered a new way to speed up the process of adsorption with Graph Neural Networks (GNNs). Adsorption is the process of a surface or material taking on a new substance, such as gas, liquid, or solid particles. This process is used in many industries, such as wastewater treatment, chemical production, and even drug delivery. GNNs are a type of artificial intelligence that uses graph-structured data (like molecules) to make predictions and decisions. By using GNNs, scientists have been able to accurately predict adsorption on surfaces in a fraction of the time it would take traditionally. This could revolutionize many industries, from pharmaceuticals to energy production, by speeding up the process of adsorption.
source: Phys.org