Master AI-Designed Sustainable Conducting Polymers for Green Electronics in 4 weeks through hands-on, project-based online training with DSTC.
Nanotechnology & Materials Science
Module-by-module breakdown of AI-Designed Sustainable Conducting Polymers for Green Electronics, from foundations to a certified capstone project.
Outline
Understand polymer fundamentals, charge transport, and green electronics applications • Analyze life‑cycle assessment, toxicity, and eco‑design standards for polymer materials • Explore AI & materials informatics basics, data sources, and workflow for polymer discovery
Outline
Build machine‑learning models to predict conductivity, bandgap, stability, and mechanical properties • Select monomers, dopants, and greener synthesis routes using AI‑guided optimization • Integrate sustainability metrics—carbon footprint, energy use—into the design loop
Outline
Execute AI workflows in Google Colab/Jupyter with real polymer datasets • Interpret model outputs to make sustainable material selection decisions • Study industry case studies, IP strategy, and pathways from lab to market
e-Certificate and e-Marksheet issued on successful completion.