Report summary

For University of California, Berkeley Department of Materials Science and Engineering in 2021-2023, the graph shows 32 visible PIs and 60 internal PI collaborations. The main research signal is Materials Science as the leading field (34% of slots across 22 PIs; 22 labels), Materials Chemistry as the leading subfield (25% of slots across 20 PIs; 20 labels), and Machine Learning in Materials Science as the leading topic (5% of slots across 5 PIs; 5 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The most prominent PIs by weighted works are Kristin A. Persson (43.7 weighted works; Advancements in Battery Materials, Advanced Battery Materials and Technologies); Peidong Yang (39.5 weighted works; Perovskite Materials and Applications, CO2 Reduction Techniques and Catalysts). The clearest collaboration lines are R. Ramesh and Lane W. Martin (24 shared works, weight 8.7). The strongest breakdown groups are group 1 with 10 PIs, 11 internal connections, weight 44.4, around Materials Chemistry, Mechanical Engineering, Electronic, Optical and Magnetic Materials, led by Robert O. Ritchie, Andrew M. Minor, R. Ramesh.