Systematic Machine leARning Training for PORous mEdia characterizationS (SMART PORES)
Systematic Machine leARning Training for PORous mEdia characterizationS (SMART PORES)
批准号:
21K13999
负责人:
パトモノアジ アニンディティヨ
金额:
$3.0万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2021
资助国家:
日本
项目状态:
已结题
起止时间:
2021-04-01 至 2023-03-31
中文摘要
在第一年的研究工作中,我开发了一种将3D打印机纳入这项研究工作的方法。通过使用3D打印机,我成功地制作了一个定制的2D微型模型。这种制造模型成本低,非常适用于快速原型制造。这一结果发表在今年的一篇学术论文中。此外,我已经开始3D打印各种颗粒状颗粒,这些颗粒将用于3D多孔介质表征。
英文摘要
Throughout this first year of research work, i have developed a method to incorporate 3D printer into this research work. By using the 3D printer, I have successfully fabricated a custom 2D micromodel. This fabrication model is low cost and very useful for rapid prototyping. This result was published in an academic paper this year. In addition, I have started 3D printing various granular particle that will be used for 3D porous media characterization.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI:
10.3390/geosciences12050183
发表时间:
2022-05-01
期刊:
GEOSCIENCES
影响因子:
2.7
作者:
[Patmonoaji, Anindityo, Mahardika, Mohammmad Azis, Suekane, Tetsuya]
通讯作者:
Suekane, Tetsuya
国内基金
海外基金
Understanding structural evolution of galaxies with machine learning
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批准号:
-
项目类别:省市级项目
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资助金额:10.0万元
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批准年份:2022
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负责人:Nicola Rosario Napolitano
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依托单位: