Studies

To get a feeling for a data-driven experiment, two benchmark studies are available to run with the f3dasm package.
In order to run a study, you need to have the f3dasm[all] extra requirements installed:

pip install f3dasm[all]

Folder structure and files of a study

├── .
│   └── my_study
│       ├── main.py
│       ├── config.yaml
│       ├── pbsjob.sh
│       └── README.md
└── src/f3dasm

• Each study is put in a separate folder.
• The README.md file gives a description, author, and optionally a citable source.
• The script that has to be called should be named main.py.
• (optional) config.yaml is a hydra configuration file that contains all the parameters for the experiment
• (optional) pbsjob.sh is a batch script file that will submit the main.py file to a HPC system using a job scheduler such as TORQUE

Available studies

There are two benchmark studies available:

Study	Description
Fragile becomes supercompressible	Designing a supercompressible meta-material. This study focuses on creating a meta-material that exhibits supercompressibility under loading conditions.
Comparing optimization algorithms on benchmark functions	Benchmark various optimization algorithms on analytical functions. Includes tests with multiple objective functions and comparison metrics for optimizer performance.