张琼
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教授
博士生导师
- 主要任职：教授
- 性别：女
- 毕业院校：北卡罗来纳州立大学
- 学历：博士研究生毕业
- 学位：工学博士学位
- 在职信息：在职人员
- 所在单位：自动化工程学院
- 入职时间： 2019-09-19
- 学科：机械制造及其自动化
控制科学与工程
- 办公地点：电子科技大学清水河校区
- 联系方式：872f2b385481f72bba946d8131349b37d5da50585b53ee5a3e99c4bf34f9c4a0e2c691e9af55c9ec94bb8ce0282970d30a93cfd11de4881730192d267292a38ff5236823c9e64554264740f5bc5e3d4c1216abd850f871810755af2a1a18ad9ebea67dc6fc9f5c797d7a3e76361528b3577105d60e23f369fd28d3c6303fc3b9
- 电子邮箱：872f2b385481f72bba946d8131349b37d5da50585b53ee5a3e99c4bf34f9c4a0e2c691e9af55c9ec94bb8ce0282970d30a93cfd11de4881730192d267292a38ff5236823c9e64554264740f5bc5e3d4c1216abd850f871810755af2a1a18ad9ebea67dc6fc9f5c797d7a3e76361528b3577105d60e23f369fd28d3c6303fc3b9
访问量：
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[1]
A Monte Carlo-based Adaptive Reduced Order Model for Gamma Density Measurement, Annals of Nuclear Energy, 178, 109341.,
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[2]
Acoustic Prediction of a Multilateral-Well Unconventional Reservoir Based on a Hybrid Feature-Enhancement Long Short-Term Memory Neural Network, Frontiers in Energy Research, Jun 2022.
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[3]
A new gamma density measurement method for cased-hole formation evaluation, Applied Radiation and Isotopes, vol. 184, no. 110178,
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[4]
Development and verification of Geant4-based parallel computing Monte Carlo simulations for nuclear logging applications, Annals of Nuclear Energy, vol. 172, no. 109079,
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[5]
Hybrid Monte Carlo methods for Geant4-based nuclear well logging implementation, Annals of Nuclear Energy, vol. 169, no. 108824, Feb 2022.
