Master Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials in 4 weeks through hands-on, project-based online training with DSTC.
Nanotechnology & Materials Science
Module-by-module breakdown of Density Functional Theory Modeling of MXene Heterostructures for EV Battery Materials, from foundations to a certified capstone project.
Outline
Explore MXene basics and their role in EV batteries • Grasp core DFT theory and electronic‑structure prediction • Set up a DFT environment and run a simple MXene cell calculation
Outline
Construct and optimise MXene heterostructures • Analyse band structures, DOS, and charge‑density maps • Predict intercalation potentials and ion‑diffusion pathways
Outline
Screen MXene candidates for high‑energy EV storage • Perform defect engineering and capacity prediction • Integrate computational results with experimental/industry data and explore emerging design trends
e-Certificate and e-Marksheet issued on successful completion.