duodenum
发表于 2025-3-21 20:06:36
书目名称Metal Complexes影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0631404<br><br> <br><br>书目名称Metal Complexes读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0631404<br><br> <br><br>
Cardioversion
发表于 2025-3-21 22:52:33
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禁令
发表于 2025-3-22 04:14:09
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没有希望
发表于 2025-3-22 06:02:24
https://doi.org/10.1007/BFb0111265Koordinationsverbindung; coordination complex; iron; metals; transition metal
dominant
发表于 2025-3-22 09:33:29
Structure and Bondinghttp://image.papertrans.cn/m/image/631404.jpg
控制
发表于 2025-3-22 16:51:21
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JEER
发表于 2025-3-22 17:10:50
Metal Complexes978-3-540-38499-1Series ISSN 0081-5993 Series E-ISSN 1616-8550
HUMID
发表于 2025-3-22 23:57:34
0081-5993 Overview: 978-3-662-15784-8978-3-540-38499-1Series ISSN 0081-5993 Series E-ISSN 1616-8550
Chromatic
发表于 2025-3-23 02:01:21
Metal Contacts to GaN,iconductor varies with doping, it is usually not possible to find just the right combination. In fact, for large-bandgap semiconductors such as GaN, a metal with a large-enough work function to form an ohmic contact to p-type GaN does not exist.
渗入
发表于 2025-3-23 05:47:00
Coordinating Plans of Autonomous Agentson neural network. The capsule network uses vector as input and output and dynamic routing updates parameters, which has better effect than convolution neural network. In this paper, a new activation function is proposed for the capsule network and the least weight loss is added to the loss function