Report summary

The 2020-2026 picture for Princeton University Department of Mechanical and Aerospace Engineering is a 58-PI network with 63 internal PI collaborations. The main research signal is Engineering as the leading field (31% of slots across 40 PIs; 40 labels), Computational Mechanics as the leading subfield (11% of slots across 17 PIs; 17 labels), and Fluid Dynamics and Turbulent Flows as the leading topic (5% of slots across 8 PIs; 8 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 Howard A. Stone (53.1 weighted works; Microfluidic and Bio-sensing Technologies, Micro and Nano Robotics). The clearest collaboration lines are Andrey Starikovskiy and Mikhail N. Shneider (22 shared works, weight 16.6). The leading breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 51.6, around Biomedical Engineering, Condensed Matter Physics, Computational Mechanics, led by Howard A. Stone, Luc Deike, Ehud Yariv.