Master Generative AI for Bio-Inspired Materials & Biodegradable Polymer LCA in 4 weeks through hands-on, project-based online training with DSTC.
Nanotechnology & Materials Science
Module-by-module breakdown of Generative AI for Bio-Inspired Materials & Biodegradable Polymer LCA, from foundations to a certified capstone project.
Materials
โข Structure-property relationships in natural composites and hierarchical materials
โข Biodegradable polymer families and their processing constraints
โข Translating a biological principle into a manufacturable specification
Representation
โข Polymer representation: BigSMILES, repeat units and stochastic structure
โข Property datasets, their sparsity and measurement inconsistency
โข Featurisation choices that dominate performance on small datasets
Generation
โข Variational and diffusion approaches to molecular and polymer generation
โข Conditioning generation on target properties
โข Synthesisability filtering so candidates are not chemically fictional
Assessment
โข LCA framing under ISO 14040 and 14044: goal, scope and functional unit
โข Inventory data sources and the uncertainty they carry
โข Biodegradability claims, standards and the difference between compostable and degradable
Integration
โข Coupling property prediction with impact estimates in one objective
โข Trade-offs between performance, end-of-life behaviour and cost
โข Communicating results without overstating environmental benefit
e-Certificate and e-Marksheet issued on successful completion.