Marcus M. Noack

22 papers and 250 indexed citations i.

Marcus M. Noack has authored 22 papers that have received a total of 250 indexed citations. This includes 11 papers in Materials Chemistry, 6 papers in Artificial Intelligence and 5 papers in Computational Theory and Mathematics. The topics of these papers are Machine Learning in Materials Science (7 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers). Marcus M. Noack is often cited by papers focused on Machine Learning in Materials Science (7 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Multi-Objective Optimization Algorithms (4 papers) and collaborates with scholars based in United States, Norway and France. Marcus M. Noack's co-authors include Kevin G. Yager, Masafumi Fukuto, Gregory S. Doerk, Ruipeng Li and James A. Sethian and has published in prestigious journals such as Scientific Reports, Nanoscale and Science Advances.