bamboo-mixer
introduces a unified method to not only
predict electrolyte properties
accurately such as conductivity and anion ratio, but also allows
conditional generation
of electrolyte formulation based on target properties.
This innovation provides a generative workflow to
design molecular mixture
beyond electrolyte. The generated samples from the workflow are tested and proved further with experimental validation.
Checkpoints
Folder
Description
ckpts/mono
Checkpoint used for single-molecule property prediction.
ckpts/formula
Checkpoints used for electrolyte property prediction.
ckpts/generator
Checkpoints used for conditional generation.
Datasets
Folder
Description
dataset
Electrolyte property dataset with conductivity and anion ratio labels
If bamboo-mixer is helpful, please help to ⭐ the repo.
If you find this project useful for your research, please consider citing our paper:
@misc{yang2025unifiedpredictivegenerativesolution,
title={A Unified Predictive and Generative Solution for Liquid Electrolyte Formulation},
author={Zhenze Yang and Yifan Wu and Xu Han and Ziqing Zhang and Haoen Lai and Zhenliang Mu and Tianze Zheng and Siyuan Liu and Zhichen Pu and Zhi Wang and Zhiao Yu and Sheng Gong and Wen Yan},
year={2025},
eprint={2504.18728},
archivePrefix={arXiv},
primaryClass={cond-mat.mtrl-sci},
url={https://arxiv.org/abs/2504.18728},
}
Runs of ByteDance-Seed bamboo_mixer on huggingface.co
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Total runs
0
24-hour runs
0
3-day runs
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7-day runs
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30-day runs
More Information About bamboo_mixer huggingface.co Model
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