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Updated: Jan 27, 2026

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

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为高性能超级电容器在双金属 CoV-LDH 中调整电荷存储:一种协同实验和机器学习的方法

Nadeem Hussain Solangi1, Rana R Neiber2, Bharat Prasad Sharma3,4

  • 1State Key Laboratory of Chemical Resource Engineering and College of Chemistry, Beijing University of Chemical Technology, Beijing, PR China.

Small (Weinheim an der Bergstrasse, Germany)
|January 25, 2026
PubMed
概括

控制的部分减少瓦纳层双氧化物 (CoV-LDHs) 引入氧空缺 (Vo) 以显著提高超级电容器的性能. 这种结合实验,DFT和ML的方法为先进的储能材料提供了可通用的策略.

关键词:
在 DFT 方面,它是最重要的.在 LDH 和 LDH 之间.机器学习是机器学习.超级电容器是一个超级电容器.调音充电储存设备的调音

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