CMU’s MSE PhD combines atomistic simulation, high-throughput experimentation, and in-situ characterization to enable data-driven materials breakthroughs. Students publish in *Nature Materials*, spin out battery startups, and inform national policy on critical-mineral supply chains.
Graph neural network predicting fracture toughness of high-entropy alloys
Operando X-ray tomography of lithium dendrite evolution
Printed perovskite micro-LEDs for AR displays
Self-healing polymer composites using reversible Diels–Alder bonds
Thermoelectric skutterudite synthesis via spark-plasma sintering
Machine-learning inverse design of photonic crystals for solar sails
Bio-resorbable Mg alloy stent corrosion modeling
Quantum dot heterostructure for infrared photodetectors
Circular-economy LCA of vitrimer carbon-fiber composites
Electrospun ceramic nanofibers for solid-oxide fuel cells
High-entropy oxide catalysts for CO₂ electro-reduction
Data pipeline integrating ICME and DFT for battery cathodes
Nanoindentation mapping of additively manufactured Ti lattices
Policy memo on rare-earth element recycling mandates
Open-source database of mechanical properties for printable polymers
Invent and characterize novel materials at CMU MSE.
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