Add a link to molecule llm notebook.

README.md

@@ -31,7 +31,7 @@ if __name__ == "__main__":
 > [FAQ](https://optuna.readthedocs.io/en/stable/faq.html) might be helpful for you to implement what you want.
 > In this example repository, you can also find the examples for the following scenarios:
 > 1. [Objective function with additional arguments](./sklearn/sklearn_additional_args.py), which is useful when you would like to pass arguments besides `trial` to your objective function.
-> 
+>
 > 2. [Manually provide trials with sampler](./faq/enqueue_trial.py), which is useful when you would like to force certain parameters to be sampled.
 >
 > 3. [Callback to control the termination criterion of study](./faq/max_trials_callback.py), which is useful when you would like to define your own termination criterion other than `n_trials` or `timeout`.
@@ -169,6 +169,7 @@ If you are interested in defining a user-defined sampler, here is an example:
 * [PyKEEN](https://github.com/pykeen/pykeen)
 * [RL Baselines Zoo](https://github.com/DLR-RM/rl-baselines3-zoo)
 * [Hyperparameter Optimization for Machine Learning, Code Repository for Online Course](https://github.com/solegalli/hyperparameter-optimization)
+* [Property-guided molecular optimization using MolMIM with CMA-ES](https://github.com/olachinkei/BioNeMo_WandB/blob/main/Molecule/03_Molecule_LLM.ipynb)
 </details>
 
 > [!IMPORTANT]