Report summary

The 2024-2026 picture for Massachusetts Institute of Technology Department of Chemical Engineering is a 53-PI network with 38 internal PI collaborations. The main research signal is Engineering as the leading field (26% of slots across 30 PIs; 30 labels), Materials Chemistry as the leading subfield (13% of slots across 18 PIs; 18 labels), and Machine Learning in Materials Science as the leading topic (4% of slots across 6 PIs; 6 labels). This is a solid, readable collaboration map: group-level fit matters more than a single department-wide label. The leading PI names are Richard D. Braatz (39.2 weighted works; Viral Infectious Diseases and Gene Expression in Insects, Protein purification and stability). The clearest collaboration lines are Richard D. Braatz and Allan S. Myerson (15 shared works, weight 7.8). The leading breakdown groups are group 1 with 10 PIs, 13 internal connections, weight 16.6, around Materials Chemistry, Inorganic Chemistry, Electrical and Electronic Engineering, led by Heather J. Kulik, Zachary P. Smith, Bradley D. Olsen; group 2 with 10 PIs, 13 internal connections, weight 20.3, around Molecular Biology, Materials Chemistry, Electrical and Electronic Engineering, led by Richard D. Braatz, Patrick S. Doyle, T. Alan Hatton.