# References
Similar concepts have been tested and implemented in a number of scientific papers. 
* [ChemCrow: Augmenting large-language models with chemistry tools](https://arxiv.org/abs/2304.05376)
* [LLMatDesign: Autonomous Materials Discovery with Large Language Models](https://arxiv.org/abs/2406.13163)
* [LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation](https://arxiv.org/abs/2401.17244)
* [14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon](https://pubs.rsc.org/en/content/articlehtml/2023/dd/d3dd00113j) - example named MAPI-LLM
* [AtomAgents: Alloy design and discovery through physics-aware multi-modal multi-agent artificial intelligence](https://arxiv.org/pdf/2407.10022)
* [The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery](https://arxiv.org/abs/2408.06292)
* [MDCrow: Automating Molecular Dynamics Workflows with Large Language Models](https://arxiv.org/abs/2502.09565)

Feel free to open a [pull request on Github](https://github.com/jan-janssen/LangSim) to add your reference.