The MSE MS at CMU unites atomistic theory, computational discovery, and advanced characterization. Students deploy graph neural networks to predict alloy toughness, image lithium dendrites via cryo-TEM, and 3-D print architected meta-materials with negative Poisson ratios. Entrepreneurial electives guide IP strategy for battery startups, while policy modules tackle supply-chain security for critical minerals.
Solid-state electrolyte synthesis for fast-charging sodium-ion cells
Magnetic-caloric materials for eco-friendly refrigeration systems
In-situ synchrotron study of phase transformation in laser-printed Ti alloys
Self-healing cement with microencapsulated bacterial spores
Photonic crystal hydrogel sensors for pathogen detection in water
High-entropy carbide coatings for hypersonic vehicle protection
Machine-learning inverse design of quantum-dot emitters for micro-LEDs
Life-cycle analysis comparing bio-based epoxy vs. petroleum resin
Recyclable carbon-fiber composites using vitrimer matrices
Flexible perovskite solar cells validated under cyclic bending
Protein-templated gold nanoclusters for theranostic imaging
Graphene-reinforced MXene supercapacitor electrodes
CFD-driven sintering profile optimization in binder-jet 3-D printing
Ni-rich cathode degradation tracking with operando XRD
Policy brief on rare-earth recycling incentives in EV supply chains
Invent next-gen materials with CMU’s computation-first MSE program.
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