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| 数据驱动的爆轰波化学反应加速计算方法研究 学位论文
博士论文，北京: 中国科学院大学, 2023
Authors: 杨瑞鑫
 Adobe PDF(6399Kb) |  Favorite | View/Download：78/9 | Submit date：2023/06/26
爆轰波 化学反应面 GPU 加速 简化机理 遗传算法 神经网络 |
| Helical model based on artificial neural network for large eddy simulation of compressible wall-bounded turbulent flows 期刊论文
PHYSICS OF FLUIDS, 2023, 卷号: 35, 期号: 4, 页码: 45120
Authors: Liu, Wanhai; Qi H(齐涵); Shi, Haoyu; Yu ZP(于长平); Li XL(李新亮)
Adobe PDF(2895Kb) | Favorite | View/Download：50/3 | Submit date：2023/06/15 |
| Artificial neural network based nonlinear algebraic models for large eddy simulation of compressible wall bounded turbulence 期刊论文
JOURNAL OF FLUID MECHANICS, 2023, 卷号: 960, 页码: A4
Authors: Xu, Dehao; Wang, Jianchun; Yu ZP(于长平); Chen, Shiyi
Adobe PDF(2749Kb) | Favorite | View/Download：54/2 | Submit date：2023/04/20
machine learning turbulence modelling |
| 基于泛函学习的斜激波与弓形激波干扰规律研究 学位论文
硕士论文，北京: 中国科学院大学, 2022
Authors: 李帅
Adobe PDF(6690Kb) | Favorite | View/Download：168/9 | Submit date：2022/07/05
激波干扰，高温气体效应，多层分块算法，高超声速流动，气动热 |
| Kinetic-energy-flux-constrained model using an artificial neural network for large-eddy simulation of compressible wall-bounded turbulence 期刊论文
Journal of Fluid Mechanics, 2022, 卷号: 932, 页码: A23
Authors: Yu ZP(于长平); Yuan ZL; Qi H(齐涵); Wang JC; Li XL(李新亮); Chen SY
Adobe PDF(1504Kb) | Favorite | View/Download：260/73 | Submit date：2022/01/06 |
| 高超声速气动热实验数据的多层学习方法 学位论文
硕士论文，北京: 中国科学院大学, 2021
Authors: 陈正
Adobe PDF(14953Kb) | Favorite | View/Download：275/14 | Submit date：2021/06/04
气动热 实验数据 小样本 特征工程 多层学习 |
| 基于人工神经网络的物性预测与反应流场重构研究 学位论文
博士论文，北京: 中国科学院大学, 2021
Authors: 李波
Adobe PDF(14001Kb) | Favorite | View/Download：566/13 | Submit date：2021/06/02
计算流体力学，人工神经网络，真实气体物性预测，全流场重构，燃烧热释放速率重构 |
| Reconstruction model for heat release rate based on artificial neural network 期刊论文
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 37, 页码: 19599-19616
Authors: Li B(李波); Yao W(姚卫); Li YC(李亚超); Fan XJ(范学军)
 Adobe PDF(5169Kb) | Favorite | View/Download：140/40 | Submit date：2022/10/25
Heat release rate (HRR) Artificial neural network (ANN) Proper orthogonal -12omposition (POD) Chemiluminescence Supersonic hydrogen flame |
| Prediction and evaluation of plasma arc reforming of naphthalene using a hybrid machine learning model 期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 404, 页码: 10
Authors: Wang, Yaolin; Liao, Zinan; Mathieu, Stephanie; Bin F(宾峰); Tu, Xin
Adobe PDF(7145Kb) | Favorite | View/Download：334/112 | Submit date：2021/03/03
Machine learning Non-thermal plasma Biomass gasification Tar reforming Naphthalene |
| Effects of Macroparameters on the Thickness of an Interfacial Nanolayer of Al2O3- and TiO2-Water-Based Nanofluids 期刊论文
ACS OMEGA, 2020, 卷号: 5, 期号: 43, 页码: 27972-27977
Authors: Fan WH(范文慧); Zhong FQ(仲峰泉)
Adobe PDF(1686Kb) | Favorite | View/Download：208/69 | Submit date：2020/12/28 |
