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tests | ||
.git | ||
studies | ||
examples | ||
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# <<< UPDATE ACCORDING WITH YOUR PYTHON PROJECT | ||
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| [**Installation**](https://f3dasm.readthedocs.io/en/latest/rst_doc_files/general/gettingstarted.html) | ||
| [**GitHub**](https://github.com/bessagroup/f3dasm) | ||
| [**PyPI**](https://pypi.org/project/f3dasm/) | ||
| [**Practical sessions**](https://github.com/mpvanderschelling/f3dasm_teach) | ||
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## Summary | ||
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Welcome to `f3dasm`, a Python package for data-driven design and analysis of structures and materials. | ||
Welcome to `f3dasm`, a **f**ramework for **d**ata-**d**riven **d**esign and **a**nalysis of **s**tructures and **m**aterials. | ||
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`f3dasm` introduces a general and user-friendly data-driven Python package for researchers and practitioners working on design and analysis of materials and structures. Some of the key features include: | ||
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- **Modular design** | ||
- The framework introduces flexible interfaces, allowing users to easily integrate their own models and algorithms. | ||
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- **Automatic data management** | ||
- The framework automatically manages I/O processes, saving you time and effort implementing these common procedures. | ||
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- **Easy parallelization** | ||
- The framework manages parallelization of experiments, and is compatible with both local and high-performance cluster computing. | ||
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- **Built-in defaults** | ||
- The framework includes a collection of benchmark functions, optimization algorithms and sampling strategies to get you started right away! | ||
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- **Hydra integration** | ||
- The framework is supports the [hydra](https://hydra.cc/) configuration manager, to easily manage and run experiments. | ||
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## Getting started | ||
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The best way to get started is to follow the [installation instructions](https://f3dasm.readthedocs.io/en/latest/rst_doc_files/general/gettingstarted.html). | ||
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## Illustrative benchmarks | ||
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This package includes a collection of illustrative benchmark studies that demonstrate the capabilities of the framework. These studies are available in the `/studies` folder, and include the following studies: | ||
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- Benchmarking optimization algorithms against well-known benchmark functions | ||
- 'Fragile Becomes Supercompressible' ([Bessa et al. (2019)](https://onlinelibrary.wiley.com/doi/full/10.1002/adma.201904845)) | ||
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## Authorship | ||
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* Current created and developer: [M.P. van der Schelling](https://github.com/mpvanderschelling/) ([email protected]) | ||
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The Bessa research group at TU Delft is small... At the moment, we have limited availability to help future users/developers adapting the code to new problems, but we will do our best to help! | ||
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## Getting started | ||
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The best way to get started is to follow the [installation instructions](https://f3dasm.readthedocs.io/en/latest/rst_doc_files/general/gettingstarted.html). | ||
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## Referencing | ||
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## License | ||
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Copyright 2023, Martin van der Schelling | ||
Copyright 2024, Martin van der Schelling | ||
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All rights reserved. | ||
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1.4.71 | ||
1.4.8 |
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