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Research on discharge performance prediction of magnesium anode materials assisted by graph neural networks.

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Title: Research on discharge performance prediction of magnesium anode materials assisted by graph neural networks.
Authors: Liu, Xiaoda1,2, liuxd@tyut.edu.cn, Wang, Yiming1,2, Yuan, Yukun2,3, Wang, Yinghu4,5, Li, Xu2, Wei, Huan2,3, Wang, Qian2,3, Du, Huayun2,3, Hou, Lifeng2,3, Wei, Yinghui2,3, yhwei_tyut@126.com
Source: Materials Genome Engineering Advances (MGE Advances); Dec2025, Vol. 3 Issue 4, p1-14, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 190328337
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Research on discharge performance prediction of magnesium anode materials assisted by graph neural networks.
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  Data: <searchLink fieldCode="AU" term="%22Liu%2C+Xiaoda%22">Liu, Xiaoda</searchLink><relatesTo>1,2</relatesTo>, <i>liuxd@tyut.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yiming%22">Wang, Yiming</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AU" term="%22Yuan%2C+Yukun%22">Yuan, Yukun</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Yinghu%22">Wang, Yinghu</searchLink><relatesTo>4,5</relatesTo><br /><searchLink fieldCode="AU" term="%22Li%2C+Xu%22">Li, Xu</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wei%2C+Huan%22">Wei, Huan</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Qian%22">Wang, Qian</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Du%2C+Huayun%22">Du, Huayun</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Hou%2C+Lifeng%22">Hou, Lifeng</searchLink><relatesTo>2,3</relatesTo><br /><searchLink fieldCode="AU" term="%22Wei%2C+Yinghui%22">Wei, Yinghui</searchLink><relatesTo>2,3</relatesTo>, <i>yhwei_tyut@126.com</i>
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  Data: <searchLink fieldCode="JN" term="%22Materials+Genome+Engineering+Advances+%28MGE+Advances%29%22">Materials Genome Engineering Advances (MGE Advances)</searchLink>; Dec2025, Vol. 3 Issue 4, p1-14, 14p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190328337
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      – Type: doi
        Value: 10.1002/mgea.70015
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: Research on discharge performance prediction of magnesium anode materials assisted by graph neural networks.
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              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
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