Report summary

For Stanford University Department of Mechanical Engineering in 2024-2026, the graph shows 39 visible PIs and 11 internal PI collaborations. The main research signal is Engineering as the leading field (42% of slots across 36 PIs; 36 labels), Biomedical Engineering as the leading subfield (13% of slots across 14 PIs; 14 labels), and 3D Printing in Biomedical Research as the leading topic (3% of slots across 3 PIs; 3 labels). That looks relatively sparse, so claims about department-wide cohesion should be made carefully. The most prominent PIs by weighted works are Ellen Kuhl (17.3 weighted works; Elasticity and Material Modeling, Model Reduction and Neural Networks). The clearest collaboration lines are D. Piriaei and Mark Cappelli (3 shared works, weight 2.1). The strongest breakdown groups are group 1 with 4 PIs, 4 internal connections, weight 1.8, around Mechanical Engineering, Metals and Alloys, Materials Chemistry, led by X. Wendy Gu, Wei Cai, Kenneth E. Goodson.