Machine Learning
Machine learning for kirigami design
- Python code to generate LAMMPS file
- Python and tensorflow code to search optimal design
- To download
git clone https://github.com/phanakata/ML_for_kirigami_design.git
Machine learning for inverse design inflatable composite membranes
- ML (TenseorFlow) code to inverse design inflatable composite membranes
- To download
git clone https://github.com/phanakata/NN-inverse-design-inflatable-membranes.git
Molecular Dynamics Simulations
Scientific package to study/develop programmable matters
- HOOMD script to simulate membranes with bistable units (“spins”)
- Python and C++ codes to analyze data
- To download
git clone https://github.com/phanakata/programmable-matter.git
Scientific package to study statistical mechanics of thermalized thin materials (e.g., graphene and nanotubes)
- HOOMD script to simulate thermalized membranes
- Python and C++ codes to analyze data
- To download
git clone https://github.com/phanakata/statistical-mechanics-of-thin-materials.git
Mechano-electronic calculations
tight-binding
- Python code to calculate electronic properties of graphene via tight-binding
- To download
git clone https://github.com/phanakata/tight-binding.git