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Chanwook Park1,2, Sourav Saha3, Jiachen Guo2,4

  • 1Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA.

Nature communications
|October 1, 2025
PubMed
概括

交叉神经网络 (INN) 为计算挑战提供了一个新的解决方案,在保持高精度的同时,显著降低了计算成本和内存使用量. 这种由人工智能驱动的方法加速了复杂的模拟,在速度和效率方面超过了现有的方法.

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