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For any inquiries or assistance, feel free to contact Mr. CAO Bin at:
📧 Email: [email protected]

Cao Bin is a PhD candidate at the Hong Kong University of Science and Technology (Guangzhou), under the supervision of Professor Zhang Tong-Yi. His research focuses on AI for science, especially intelligent crystal-structure analysis and discovery. Learn more about his work on his homepage.

VSGenerator

DVSNet: Dynamic Virtual Space Generation Neural Network PyPI Version

Overview

VSGenerator introduces DVSNet, a neural network designed for dynamically generating virtual spaces to enhance training datasets. This project extends the capabilities of the Bgolearn platform, with a particular focus on neural network applications in materials design. By leveraging DVSNet, researchers can efficiently construct diverse and adaptive virtual environments for data-driven exploration.

Installation

Install VSGenerator via pip:

pip install VSGenerator

Usage

Refer to the ./tutorial directory for detailed usage examples.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

We appreciate your interest in VSGenerator and Bgolearn—happy researching! 🚀

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DVSNet: Dynamic Virtual Space Generation Neural Network

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