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milyte
xiaomi-research/milyte
milyte is a machine learning model from xiaomi-research. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-nd-4.0.
Milyte is a multiscale, physics-native deep learning framework for battery electrolyte property prediction and formulation design — connecting molecular solvation structure, mesoscopic aggregation, bulk transport prop…
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Updated Sep 10, 2026
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- License
- cc-by-nd-4.0
- Access
- Public
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026
- SHA
- a1bec408
Model card
From the Hugging Face model README
Milyte
Milyte is a multiscale, physics-native deep learning framework for battery electrolyte property prediction and formulation design — connecting molecular solvation structure, mesoscopic aggregation, bulk transport properties, and device-level performance within a single differentiable model. It predicts ionic conductivity, viscosity, desolvation free energy, and dual-temperature DC internal resistance (DCR), and supports gradient-based inverse design (GALO) of electrolyte formulations for a target property.
This repository hosts the pretrained weights and datasets (RDF pretraining data, downstream experimental datasets, and finetuned checkpoints) used in our manuscript.
Code, training, and inference instructions are available on GitHub:
Citation
If you use these weights or datasets in your research, please cite our paper (citation details to be added upon publication).
License
Released under CC BY-ND 4.0.
- License
- cc-by-nd-4.0
- Created
- Sep 10, 2026
- Updated
- Sep 10, 2026