Report summary

For Princeton University Department of Chemical and Biological Engineering in 2024-2026, the graph shows 36 visible PIs and 28 internal PI collaborations. The main research signal is Biochemistry, Genetics and Molecular Biology as the leading field (23% of slots across 17 PIs; 17 labels), Molecular Biology as the leading subfield (17% of slots across 15 PIs; 15 labels), and Block Copolymer Self-Assembly as the leading topic (4% of slots across 4 PIs; 4 labels). The network looks reasonably well-rounded, with visible collaboration groups but not so much concentration that one field explains the whole department. The most prominent PIs by weighted works are Kelsey B. Hatzell (23.7 weighted works; Advancements in Battery Materials, Advanced Battery Materials and Technologies); Christos T. Maravelias (19.2 weighted works; Process Optimization and Integration, Scheduling and Optimization Algorithms). The clearest collaboration lines are José L. Avalos‬ and Sebastián Espinel‐Ríos (5 shared works, weight 4.1). The strongest breakdown groups are group 1 with 9 PIs, 8 internal connections, weight 13.9, around Molecular Biology, Biomedical Engineering, Materials Chemistry, led by José L. Avalos‬, A. James Link, Jerelle A. Joseph.