S. K. Tripathi

This researcher works on computational and materials science topics spanning shape memory alloys, phase-change materials like vanadium dioxide, catalysis for ammonia synthesis, and some atmospheric/hydrological modeling. Much of the work uses computational methods such as density functional theory (DFT) and machine learning to understand atomic-scale behavior in metals and alloys and to predict material transformations. The publication record suggests collaboration across distinct subfields, including metallurgy, catalysis, and weather forecasting, though the exact grouping under one PI name is based only on the shared bibliographic listing provided.

Publication output was relatively steady at 1-3 papers per year through the late 2010s and early 2020s, then increased notably in 2024 and 2026, indicating a recent growth in publication activity.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026