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Updated: Jan 29, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
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A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

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有机太阳能电池的可持续设计利用机器和深度学习

Ola M Mohyeldien1, Noha H El-Amary1, Ashraf Al Bardawil2

  • 1Arab Academy for Science, Technology and Maritime Transport, AASTMT, Cairo, Egypt.

Scientific reports
|January 27, 2026
PubMed
概括

这项研究利用模拟和人工智能优化有机太阳能电池 (OSC),实现了19.50%的功率转换效率 (PCE). 关键发现包括最佳层厚度和材料,以提高性能和可持续性.

关键词:
卷积神经网络 (CNN) 是一种神经网络.层优化的层优化有机太阳能电池 (OSC) 有机太阳能电池功率转换效率 (PCE) 是指功率转换效率.这是SCAPS-1DD.支持向量的回归 (SVR)

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