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Updated: Sep 18, 2025

Setting Limits on Supersymmetry Using Simplified Models
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Setting Limits on Supersymmetry Using Simplified Models

Published on: November 15, 2013

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全球通用缩放和超小参数化在机器学习中具有超线性原子间潜力的超小参数化

Yanxiao Hu1, Ye Sheng1, Jing Huang1

  • 1State Key Laboratory of Quantum Functional Materials and Department of Materials Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Proceedings of the National Academy of Sciences of the United States of America
|June 20, 2025
PubMed
概括

我们开发了SUS2-MLIP,这是一种机器学习的原子间潜能模型,它包含了普遍的缩放规律. 这种方法提高了材料设计和模拟的模型通用性和可扩展性,即使数据有限.

关键词:
全球范围的扩展.原子间潜力是一个原子间潜力.机器学习是机器学习.

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