Report summary

The 2020-2026 picture for University of Chicago School of Molecular Engineering is a 99-PI network with 205 internal PI collaborations. The main research signal is Materials Science as the leading field (22% of slots across 44 PIs; 44 labels), Materials Chemistry as the leading subfield (12% of slots across 28 PIs; 28 labels), and Quantum Information and Cryptography as the leading topic (4% of slots across 12 PIs; 12 labels). That is a nice sign for applicants and collaborators, because the network has both density and separable local groups. The leading PI names are Juan Pablo (73 weighted works; Material Dynamics and Properties, Machine Learning in Materials Science). The clearest collaboration lines are Juan Pablo and Paul F. Nealey (31 shared works, weight 15.7); Jeffrey A. Hubbell and Melody A. Swartz (27 shared works, weight 14.4). The leading breakdown groups are group 1 with 10 PIs, 12 internal connections, weight 73.9, around Polymers and Plastics, Materials Chemistry, Surfaces, Coatings and Films, led by Juan Pablo, Stuart J. Rowan, Aaron P. Esser‐Kahn.