Report summary

Princeton University Department of Mechanical and Aerospace Engineering in 2021-2023 reads as a 37-PI network with 37 internal PI collaborations. The dominant subject mix is Engineering as the leading field (41% of slots across 31 PIs; 31 labels), Computational Mechanics as the leading subfield (14% of slots across 14 PIs; 14 labels), and Fluid Dynamics and Turbulent Flows as the leading topic (8% of slots across 9 PIs; 9 labels). That is promising: collaboration is not just one large hairball, and the leading breakdown groups cover 21 PIs across distinct clusters. The leading PI names are Howard A. Stone (31.7 weighted works; Microfluidic and Bio-sensing Technologies, Micro and Nano Robotics). The most visible ties are Andrey Starikovskiy and Mikhail N. Shneider (15 shared works, weight 12.3). The leading breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 22.7, around Biomedical Engineering, Condensed Matter Physics, Mechanical Engineering, led by Howard A. Stone, Luc Deike, Daniel J. Cohen; group 2 with 8 PIs, 8 internal connections, weight 23.5, around Computational Mechanics, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging, led by Andrey Starikovskiy, Yiguang Ju, Mikhail N. Shneider.