:使

Gusten Isfeldt1, Fredrik Lundell2, Jakob Wohlert3

  • 1Department of Engineering Mechanics, <a href="https://ror.org/026vcq606">KTH Royal Institute of Technology</a>, SE10044 Stockholm, Sweden and Department of Fibre and Polymer Technology, <a href="https://ror.org/026vcq606">KTH Royal Institute of Technology</a>, SE10044 Stockholm, Sweden.

Physical review. E
|December 18, 2024
PubMed
概括

这项研究引入了深度神经网络方法,以高效地近似硬体对潜力,用于大型纳米粒子模拟. 这种新的方法显著降低了计算成本,同时保持了准确性,超过了传统的粗粒度模型.

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