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浏览/检索结果: 共20条，第1-10条 帮助 限定条件 专题：力学研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Improved Quantum-Classical Treatment of N2-N2 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 作者:  Hong QZ(洪启臻);  Storchi, Loriano;  Sun QH(孙泉华);  Bartolomei, Massimiliano;  Pirani, Fernando 收藏  |  浏览/下载：1/0  |  提交时间：2024/01/22 DeepStSNet: Reconstructing the quantum state-resolved thermochemical nonequilibrium flowfield using deep neural operator learning with scarce data 期刊论文 JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 491, 页码: 112344 作者:  Lv JQ(吕家琦);  Hong QZ(洪启臻);  Wang XY(王小永);  Mao, Zhiping;  Sun QH(孙泉华) 收藏  |  浏览/下载：14/0  |  提交时间：2023/09/26 Hypersonic  Thermochemical nonequilibrium  State-to-state approach  Deep learning  Multiphysics  Data assimilation   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 作者:  Hong QZ(洪启臻);  Storchi, Loriano;  Bartolomei, Massimiliano;  Pirani, Fernando;  Sun QH(孙泉华) 收藏  |  浏览/下载：18/0  |  提交时间：2023/09/05 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, 2022, 页码: 14 作者:  Chen, XianJia;  Yuan, Zheng;  Li, Qiang;  Sun, ShouGuang;  Wei, YuJie 收藏  |  浏览/下载：14/0  |  提交时间：2023/02/09 load spectrum  computational mechanics  deep learning  data-driven modeling  gated recurrent unit neural network   Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation 期刊论文 ENERGY & FUELS, 2022, 页码: 20 作者:  Kang DL(康东亮);  Ma J(马骏);  Zhao YP(赵亚溥) 收藏  |  浏览/下载：19/0  |  提交时间：2023/02/03 Predicting the Molecular Models, Types, and Maturity of Kerogen in Shale Using Machine Learning and Multi-NMR Spectra 期刊论文 ENERGY & FUELS, 2022, 页码: 13 作者:  Kang, Dongliang;  Zhao, Ya-Pu 收藏  |  浏览/下载：16/0  |  提交时间：2022/08/10 A robust super-resolution reconstruction model of turbulent flow data based on deep learning 期刊论文 COMPUTERS & FLUIDS, 2022, 卷号: 239, 页码: 15 作者:  Zhou, Zhideng;  Li, Binglin;  Yang, Xiaolei;  Yang, Zixuan 收藏  |  浏览/下载：15/0  |  提交时间：2022/07/18 Super-resolution model  Direct numerical simulation  Large-Eddy simulation  Isotropic turbulence  Unresolved scales   Defining kerogen maturity from orbital hybridization by machine learning 期刊论文 FUEL, 2022, 卷号: 310, 页码: 10 作者:  Ma J(马俊);  Kang DL(康东亮);  Wang XH(王晓荷);  Zhao YP(赵亚溥) 收藏  |  浏览/下载：49/0  |  提交时间：2021/11/29 Kerogen maturity  Orbital hybridization  Machine learning  Quantum chemistry   Multiresolution Hypergraph Neural Network for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 卷号: 71, 页码: 10 作者:  Yan,Xunshi;  Liu Y(刘洋);  Zhang CA(张陈安) 收藏  |  浏览/下载：4/0  |  提交时间：2022/11/14 Convolution  Fault diagnosis  Correlation  Task analysis  Machinery  Machine learning algorithms  Laplace equations  Fault diagnosis  graph convolutional network (GCN)  hypergraph  hypergraph neural network (HGNN)  multiresolution   Physics-driven machine learning model on temperature and time-dependent deformation in lithium metal and its finite element implementation 期刊论文 JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS, 2021, 卷号: 153, 页码: 104481 作者:  Wen JC(温济慈);  Zou, Qingrong;  Wei YJ(魏宇杰) 收藏  |  浏览/下载：11/0  |  提交时间：2022/10/25 Physics-driven machine learning  Lithium-metal anode  Creep  Finite-element analysis  Constitutive model