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Updated: Jun 4, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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图形神经网络如何推断原子间潜力:传递信息算法的作用

Sungwoo Kang1

  • 1Computational Science Research Center, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea.

The Journal of chemical physics
|December 23, 2024
PubMed
概括

图表神经网络原子间潜力 (GNN-IPs) 学习非局部静电相互作用,解释它们将其推断到新材料结构的能力. 这种能力对于在各种未经训练的领域中准确预测至关重要.

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