Revisiting El-Sayed Synthesis: Bayesian Optimization for Revealing New Insights during the Growth of Gold Nanorods Name
This repository contains data for Revisiting El-Sayed Synthesis: Bayesian Optimization for Revealing New Insights During AuNR Growth Link to the paper: https://pubs.acs.org/doi/10.1021/acs.chemmater.4c00271
The requirements file is placed in aunr_opt_env.yaml
### Project structure
This repository contains the following subfolders and files in the root folder.
### Note:
- To generate Figure S7, and S8, run the Fig_S7_S8.ipynb notebook, and the plots will be generated in the src folder itself.
- The jupyter notebook (Fig_S5_3b_3c.ipynb) will generate Figure 3c too. Exp 1, 7, 11 were selected to prepare Figure 3c.
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|--CITATION
|--README.md
|--LICENSE.txt
|--requirements.yaml # Python requirements file
|--data # raw data from each exp technique
|--|--TEM
|--|--UV-Vis-NIR
|--doc
|--|--Overleaf # here come all files from Overleaf folder
|--results # Final and intermediate results
|--|--figures # Final version figure in pdf or png
|--|--figures|--si # Final version figures for SI in pdf or png
|--src # Source folder for all scripts/jupyter