News — At the , computational researchers have taken a deep dive into exploring how artificial intelligence (AI) can support scientific discovery through examining processes and components at the smallest of scales. Researchers are using AI to identify proteins like never before using a new computational program called , which was developed by EMSL Computational Scientist . Through Model-Experiment (ModEx) integration, they are integrating experimental measurements (e.g., soils, rhizosphere, and biologic and anthropogenic emissions) into computational and modeling frameworks either directly for scale-appropriate models or through parameterizations. Researchers are also using AlphaFold to make protein structure predictions, just to name a few.
Through the , scientists from around the world are also working with staff researchers and a range of EMSL computational technologies to expedite scientific discovery through AI. This year, one such user project led by , a professor at Chalmers University of Technology in Sweden, is —a feat that has stumped scientists for years.
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