Report summary

The 2020-2026 picture for Carnegie Mellon University Department of Materials Science and Engineering is a 36-PI network with 47 internal PI collaborations. The main research signal is Engineering as the leading field (38% of slots across 27 PIs; 27 labels), Materials Chemistry as the leading subfield (19% of slots across 17 PIs; 17 labels), and Additive Manufacturing Materials and Processes as the leading topic (8% of slots across 9 PIs; 9 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 Amir Barati Farimani (70.2 weighted works; Machine Learning in Materials Science, Computational Drug Discovery Methods). The clearest collaboration lines are Gregory S. Rohrer and A. Salvador (13 shared works, weight 7.2); Petrus Christiaan Pistorius and Bryan A. Webler (14 shared works, weight 6.3). The leading breakdown groups are group 1 with 8 PIs, 9 internal connections, weight 32.7, around Mechanical Engineering, Materials Chemistry, Renewable Energy, Sustainability and the Environment, led by Anthony D. Rollett, Gregory S. Rohrer, Shawn Litster.