💻 Software & Environment Setup
Nanotechnology & Materials Science
The computational toolchain and environment used throughout AI-Driven Smart Polymer Composites Design and Manufacturing.
Driven smart polymer composites courseDriven smart polymer composites online trainingBest driven smart polymer composites certificationDriven smart polymer composites for researchersDriven smart polymer composites hands-on workshopLearn driven smart polymer composites
# Recommended conda environmentconda create -n dstc_env python=3.11 -yconda activate dstc_envpip install numpy scipy pymatgen ase matplotlibpymatgen
Materials analysis & genomics
Materials analysis & genomics
ASE
Atomic simulation environment
Atomic simulation environment
ImageJ / Fiji
SEM/TEM image quantification
SEM/TEM image quantification
OriginPro / Python
XRD & spectra analysis
XRD & spectra analysis
Supported OS: Linux (Ubuntu 22.04+), macOS, or Windows via WSL2.
Hardware: 16 GB RAM minimum; a CUDA GPU helps for deep-learning modules.
Earn government-registered certification in AI-Driven Smart Polymer Composites Design and Manufacturing
e-Certificate and e-Marksheet issued on successful completion.
