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Improved Quantum-Classical Treatment of N
2
-N
2
Inelastic Collisions: Effect of the Potentials and Complete Rate Coefficient Data Sets
期刊论文
JOURNAL OF CHEMICAL THEORY AND COMPUTATION, 2023, 卷号: 19, 期号: 23, 页码: 8557-8571
Authors:
Hong QZ(洪启臻)
;
Storchi, Loriano
;
Sun QH(孙泉华)
;
Bartolomei, Massimiliano
;
Pirani, Fernando
;
Coletti, Cecilia
Adobe PDF(5231Kb)
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View/Download:57/9
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Submit date:2024/01/22
Multi-objective optimization for high-performance Fe-based metallic glasses via machine learning approach
期刊论文
JOURNAL OF ALLOYS AND COMPOUNDS, 2023, 卷号: 960, 页码: 170793
Authors:
Zhang, Yuxing
;
Xie, Shejuan
;
Guo, Wei
;
Ding, Jun
;
Poh, Leong Hien
;
Sha ZD(沙振东)
Adobe PDF(10205Kb)
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View/Download:78/3
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Submit date:2023/07/17
Fe-based metallic glass
Machine learning
Critical casting size
Saturation magnetization
Plasticity
Short-range order and its impacts on the BCC MoNbTaW multi-principal element alloy by the machine-learning potential
期刊论文
ACTA MATERIALIA, 2023, 卷号: 255, 页码: 119041
Authors:
Santosflorez, Pedro A
;
Dai SC(戴仕诚)
;
Yao, Yi
;
Yanxon, Howard
;
Li, Lin
;
Wang YJ(王云江)
;
Zhu, Qiang
;
Yu, Xiaoxiang
Adobe PDF(6513Kb)
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Submit date:2023/07/17
Multi -principal element alloys
Short-range order
Machine -learning potential
Inelastic N-2+H-2 collisions and quantum-classical rate coefficients: large datasets and machine learning predictions
期刊论文
EUROPEAN PHYSICAL JOURNAL D, 2023, 卷号: 77, 期号: 7, 页码: 128
Authors:
Hong QZ(洪启臻)
;
Storchi, Loriano
;
Bartolomei, Massimiliano
;
Pirani, Fernando
;
Sun QH(孙泉华)
;
Coletti, Cecilia
Adobe PDF(3024Kb)
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View/Download:42/1
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Submit date:2023/09/05
基于模型与数据驱动相结合的嵌入式大气数据系统算法研究
学位论文
博士论文,北京: 中国科学院大学, 2023
Authors:
刘洋
Adobe PDF(9249Kb)
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Submit date:2023/07/03
大气数据系统,嵌入式大气数据系统,模型驱动,数据驱动,神经网络
A computational method for the load spectra of large-scale structures with a data-driven learning algorithm
期刊论文
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2023, 卷号: 66, 期号: 1, 页码: 141-154
Authors:
Chen XJ(陈贤佳)
;
Yuan, Zheng
;
Li, Qiang
;
Sun, ShouGuang
;
Wei YJ(魏宇杰)
Adobe PDF(2512Kb)
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Submit date:2023/02/09
load spectrum
computational mechanics
deep learning
data-driven modeling
gated recurrent unit neural network
Machine Learning Method for Fatigue Strength Prediction of Nickel-Based Superalloy with Various Influencing Factors
期刊论文
MATERIALS, 2023, 卷号: 16, 期号: 1, 页码: 13
Authors:
Guo, Yiyun
;
Rui SS(芮少石)
;
Xu, Wei
;
Sun CQ(孙成奇)
Adobe PDF(9664Kb)
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Submit date:2023/02/09
machine learning
nickel-based superalloy
fatigue strength prediction
temperature
stress ratio