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docs: update with new citation and link to python implementation #220

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13 changes: 12 additions & 1 deletion docs/problems/beams2d.md
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Expand Up @@ -90,8 +90,19 @@ Datasets were generated by uniformly sampling the condition space. The resolutio
A more comprehensive description of the creation method can be found in the [README](https://github.com/IDEALLab/EngiBench/tree/main/engibench/problems/beams2d).

## Citation
If you use this problem in your research, please cite the following paper:
This problem is directly refactored from the [TopOpt-MMA-Python Library](https://github.com/arjendeetman/TopOpt-MMA-Python) and if you use this problem in your experiments, you can use the citations below referencing both the original problem formulation and the subsequent well-known implementation:
```
@article{sigmund200199,
title={A 99 line topology optimization code written in Matlab},
author={Sigmund, Ole},
journal={Structural and multidisciplinary optimization},
volume={21},
number={2},
pages={120--127},
year={2001},
publisher={Springer}
}

@article{andreassen2011efficient,
title={Efficient topology optimization in MATLAB using 88 lines of code},
author={Andreassen, Erik and Clausen, Anders and Schevenels, Mattias and Lazarov, Boyan S and Sigmund, Ole},
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