💻 Software & Environment Setup
Nanotechnology & Materials Science
The computational toolchain and environment used throughout AI for Smart Agrivoltaic Systems.
Yield workshopSmart agrivoltaic systems certificationAgrivoltaic training for researchersSmart agrivoltaic systems training QatarSmart agrivoltaic systems for PhD studentsSmart agrivoltaic systems training course for researchers
# 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 for Smart Agrivoltaic Systems
e-Certificate and e-Marksheet issued on successful completion.
