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M

Matthew L. Gong

united states department of energy (doe)

4H指数
11论文数
298被引数
收录论文 3
发表时间
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Crystallographic prediction from diffraction and chemistry data for higher throughput classification using machine learning使用机器学习从衍射和化学数据进行晶体学预测，以实现更高的吞吐量分类
errCOMPUTATIONAL MATERIALS SCIENCE
IF3.3
err2020-02-01
err31
PREAI
errAguiar, Jeffery A.; Gong, Matthew L.; Tasdizen, Tolga
err分享
err收藏
Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning
errSCIENCE ADVANCES
IF12.5
err2019-10-11
err97
errOAAI
errAguiar, J. A.; Gong, M. L.; Unocic, R. R.; Tasdizen, T.; Miller, B. D.
err分享
err收藏
A Strategy to Mitigate Grain Boundary Blocking in Nanocrystalline Zirconia
errJOURNAL OF PHYSICAL CHEMISTRY C
IF3.2
err2018-10-16
err15
PREAI
errBokov, Arseniy; Aguiar, Jeffery A.; Gong, Matthew L.; Nikonov, Alexey; Castro, Ricardo H. R.
err分享
err收藏

研究方向

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合作学者
合作期刊
R
Raymond R. Unocic
H 指数: 71 · 论文数: 332
J
Jeffery A. Aguiar
H 指数: 40 · 论文数: 224
T
Tolga Taşdizen
H 指数: 40 · 论文数: 248
R
Ricardo H. R. Castro
H 指数: 39 · 论文数: 177
B
Brandon Miller
H 指数: 22 · 论文数: 109
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