关注
Julia Ling
Julia Ling
未知所在单位机构
在 alumni.stanford.edu 的电子邮件经过验证
标题
引用次数
引用次数
年份
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
J Ling, A Kurzawski, J Templeton
Journal of Fluid Mechanics 807, 155-166, 2016
15182016
Machine learning strategies for systems with invariance properties
J Ling, R Jones, J Templeton
Journal of Computational Physics 318, 22-35, 2016
4202016
Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
J Ling, J Templeton
Physics of Fluids 27 (8), 2015
3902015
Air ionization at rock surfaces and pre-earthquake signals
FT Freund, IG Kulahci, G Cyr, J Ling, M Winnick, J Tregloan-Reed, ...
Journal of Atmospheric and Solar-Terrestrial Physics 71 (17-18), 1824-1834, 2009
2562009
Can machine learning identify the next high-temperature superconductor? Examining extrapolation performance for materials discovery
B Meredig, E Antono, C Church, M Hutchinson, J Ling, S Paradiso, ...
Molecular Systems Design & Engineering 3 (5), 819-825, 2018
2322018
High-dimensional materials and process optimization using data-driven experimental design with well-calibrated uncertainty estimates
J Ling, M Hutchinson, E Antono, S Paradiso, B Meredig
Integrating Materials and Manufacturing Innovation 6, 207-217, 2017
2042017
A priori assessment of prediction confidence for data-driven turbulence modeling
JL Wu, JX Wang, H Xiao, J Ling
Flow, Turbulence and Combustion 99, 25-46, 2017
109*2017
Overcoming data scarcity with transfer learning
ML Hutchinson, E Antono, BM Gibbons, S Paradiso, J Ling, B Meredig
arXiv preprint arXiv:1711.05099, 2017
1042017
A machine learning approach for determining the turbulent diffusivity in film cooling flows
PM Milani, J Ling, G Saez-Mischlich, J Bodart, JK Eaton
Journal of Turbomachinery 140 (2), 021006, 2018
962018
Turbulent transport in an inclined jet in crossflow
F Coletti, MJ Benson, J Ling, CJ Elkins, JK Eaton
International Journal of Heat and Fluid Flow 43, 149-160, 2013
952013
A comprehensive physics-informed machine learning framework for predictive turbulence modeling
JX Wang, J Wu, J Ling, G Iaccarino, H Xiao
arXiv preprint arXiv:1701.07102, 2017
922017
Building data-driven models with microstructural images: Generalization and interpretability
J Ling, M Hutchinson, E Antono, B DeCost, EA Holm, B Meredig
Materials Discovery 10, 19-28, 2017
882017
Uncertainty analysis and data-driven model advances for a jet-in-crossflow
J Ling, A Ruiz, G Lacaze, J Oefelein
Journal of Turbomachinery 139 (2), 021008, 2017
782017
Analysis of turbulent scalar flux models for a discrete hole film cooling flow
J Ling, KJ Ryan, J Bodart, JK Eaton
Journal of Turbomachinery 138 (1), 011006, 2016
602016
The effect of land taper angle on trailing edge slot film cooling
J Ling, CJ Elkins, JK Eaton
Journal of Turbomachinery 137 (7), 071003, 2015
60*2015
Assessing the frontier: Active learning, model accuracy, and multi-objective candidate discovery and optimization
Z Del Rosario, M Rupp, Y Kim, E Antono, J Ling
The Journal of Chemical Physics 153 (2), 2020
582020
Turbulent scalar flux in inclined jets in crossflow: counter gradient transport and deep learning modelling
PM Milani, J Ling, JK Eaton
Journal of Fluid Mechanics 906, A27, 2021
512021
Thrust measurements in a low-magnetic field high-density mode in the helicon double layer thruster
J Ling, MD West, T Lafleur, C Charles, RW Boswell
Journal of Physics D: Applied Physics 43 (30), 305203, 2010
442010
Effects of varying Reynolds number, blowing ratio, and internal geometry on trailing edge cutback film cooling
MJ Benson, CJ Elkins, SD Yapa, JB Ling, JK Eaton
Experiments in fluids 52, 1415-1430, 2012
432012
Three-dimensional velocity and scalar field measurements of an airfoil trailing edge with slot film cooling: the effect of an internal structure in the slot
J Ling, SD Yapa, MJ Benson, CJ Elkins, JK Eaton
Journal of turbomachinery 135 (3), 031018, 2013
392013
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