Variations between labs can misinform scientific AI models, team reports

Scientists at SLAC National Accelerator Laboratory, alongside two researchers from Penn State, have demonstrated the importance of generating highly reproducible experimental data when building artificial intelligence models for catalyst investigations, a framework that can help guide the reactions that do things like turn carbon dioxide into valuable fuel.