Report summary

The 2024-2026 picture for Texas A&m University Department of Chemical Engineering is a 23-PI network with 10 internal PI collaborations. The main research signal is Engineering as the leading field (28% of slots across 13 PIs; 13 labels), Molecular Biology as the leading subfield (13% of slots across 7 PIs; 7 labels), and Advanced Battery Materials and Technologies as the leading topic (7% of slots across 5 PIs; 5 labels). That is a thin collaboration pattern, useful for spotting individual pairs but less persuasive as a broad departmental network. The leading PI names are Joseph Sang‐Il Kwon (23.4 weighted works; Model Reduction and Neural Networks, Computational Drug Discovery Methods). The clearest collaboration lines are Micah J. Green and Jodie L. Lutkenhaus (11 shared works, weight 5.2). The leading breakdown groups are group 1 with 5 PIs, 5 internal connections, weight 3.3, around Statistics, Probability and Uncertainty, Control and Systems Engineering, Biomedical Engineering, led by Joseph Sang‐Il Kwon, Qingsheng Wang, Faisal Khan; group 2 with 4 PIs, 3 internal connections, weight 5.5, around Electrical and Electronic Engineering, Automotive Engineering, Materials Chemistry, led by Micah J. Green, Perla B. Balbuena, Jodie L. Lutkenhaus.