Education

Research Description

Dr. Luo's long-term goal is to impact engineering and science through the development of innovative numerical methods and advanced computational techniques in the areas of computational fluid dynamics, computational aeroacoustics, and computational magnetohydrodynamics. Dr. Luo is currently developing 1) high-order spatial/temporal discretization methods based on reconstructed discontinuous Galerkin schemes for the next generation of CFD codes in aerospace and nuclear engineering, 2) a hybrid structured-unstructured grid methodology for the analysis of advanced propulsion systems, and 3) advanced unstructured grid methods in magnetohydrodynamics for the understanding and modeling of solar physics phenomena. In MAE, he collaborates with Dr. Edwards.

Honors and Awards

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Publications

Reconstructed discontinuous Galerkin methods for compressible flows based on a new hyperbolic Navier-Stokes system

Li, L., Lou, J., Nishikawa, H., & Luo, H. (2021), JOURNAL OF COMPUTATIONAL PHYSICS, 427. https://doi.org/10.1016/j.jcp.2020.110058

An enhanced AUSM(+)-up scheme for high-speed compressible two-phase flows on hybrid grids

Pandare, A. K., Luo, H., & Bakosi, J. (2019), SHOCK WAVES, 29(5), 629–649. https://doi.org/10.1007/s00193-018-0861-x

An updated Lagrangian discontinuous Galerkin hydrodynamic method for gas dynamics

Wu, T., Shashkov, M., Morgan, N., Kuzmin, D., & Luo, H. (2019), COMPUTERS & MATHEMATICS WITH APPLICATIONS, 78(2), 258–273. https://doi.org/10.1016/j.camwa.2018.03.040

Reconstructed Discontinuous Galerkin Methods for Hyperbolic Diffusion Equations on Unstructured Grids

Lou, J., Liu, X., Luo, H., & Nishikawa, H. (2019), COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 25(5), 1302–1327. https://doi.org/10.4208/cicp.OA-2017-0186

Robust Implicit Direct Discontinuous Galerkin Method for Simulating the Compressible Turbulent Flows

Xiaoquan, Y., Cheng, J., Luo, H., & Zhao, Q. (2019, March), AIAA JOURNAL, Vol. 57, pp. 1113–1132. https://doi.org/10.2514/1.J057172

Second memorial issue in honor of Dr. Meng-Sing Liou

Chang, C.-H., & Luo, H. (2019), SHOCK WAVES. https://doi.org/10.1007/s00193-019-00932-0

A reconstructed direct discontinuous Galerkin method for simulating the compressible laminar and turbulent flows on hybrid grids

Yang, X. Q., Cheng, J., Luo, H., & Zhao, Q. J. (2018), Computers & Fluids, 168, 216–231. https://doi.org/10.1016/j.compfluid.2018.04.011

A reconstructed discontinuous Galerkin method for compressible turbulent flows on 3D curved grids

Liu, X. D., Xia, Y. D., & Luo, H. (2018), Computers & Fluids, 160, 26–41. https://doi.org/10.1016/j.compfluid.2017.10.014

A robust and efficient finite volume method for compressible inviscid and viscous two-phase flows

Pandare, A. K., & Luo, H. (2018), Journal of Computational Physics, 371, 67–91. https://doi.org/10.1016/j.jcp.2018.05.018

Application of nonlinear Krylov acceleration to a reconstructed discontinuous Galerkin method for compressible flows

Wang, C. J., Cheng, J., Berndt, M., Carlson, N. N., & Luo, H. (2018), Computers & Fluids, 163, 32–49. https://doi.org/10.1016/j.compfluid.2017.12.015

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Grants

Development of Moving Discontinuous Galerkin Methods for Hypersonic Reacting Flows

(5/19/21 - 6/19/22)

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Development of Moving Discontinuous Galerkin Methods for Hypersonic Reacting Flows

Sponsor:

Start Date: 5/19/21

End Date: 6/19/22

Abstract

Develop moving discontinuous Galerkin methods for reacting hypersonic flows

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Development of Moving Discontinuous Galerkin Methods for Compressible Flows

(2/08/21 - 9/30/21)

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Development of Moving Discontinuous Galerkin Methods for Compressible Flows

Sponsor:

Start Date: 2/08/21

End Date: 9/30/21

Abstract

We will explore and develop a moving discontinuous Galerkin method for compressible flows.

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Development of p-adaptive Reconstructed Discontinuous Galerkin Methods for Compressible Multi-Material Flows

(7/02/20 - 9/30/22)

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Development of p-adaptive Reconstructed Discontinuous Galerkin Methods for Compressible Multi-Material Flows

Sponsor:

Start Date: 7/02/20

End Date: 9/30/22

Abstract

The main objective of this research effort is to develop and implement adaptive hp discontinuous Galerkin (DG) methods into Quinoa for compressible multi-material flows on unstructured grids.

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Development of a Moving Discontinuous Galerkin Methods for Compressible Flows

(2/28/19 - 9/30/20)

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Development of a Moving Discontinuous Galerkin Methods for Compressible Flows

Sponsor:

Start Date: 2/28/19

End Date: 9/30/20

Abstract

We will explore and develop a moving discontinuous Galerkin method for compressible flows.

Close

Enabling Highly Scalable Multiphysics Simulation of Particulate Systems on Exascale Computing Architectures

(3/28/18 - 9/30/18)

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Enabling Highly Scalable Multiphysics Simulation of Particulate Systems on Exascale Computing Architectures

Sponsor:

Start Date: 3/28/18

End Date: 9/30/18

Abstract

The main objective of this LDRD-NUC project is to explore the use of Charm++ in Dr. Xia’s LDRD project in order to achieve a high parallel efficiency for the coupling of mesh-based structure mechanics and particle-based fluid dynamics.

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Development of hp Reconstructed Discontinuous Galerkin Methods for Compressible Flows Using CHARM++

(12/20/17 - 9/30/19)

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Development of hp Reconstructed Discontinuous Galerkin Methods for Compressible Flows Using CHARM++

Sponsor:

Start Date: 12/20/17

End Date: 9/30/19

Abstract

The main objective of this research effort is to develop and implement adaptive hp discontinuous Galerkin (DG) methods into Quinoa for compressible flows on unstructured grids.

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Development and Assessment of a Reconstructed Discontinuous Galerkin Method for Compressible Flows in Lagrangian Formulation

(4/20/17 - 9/30/18)

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Development and Assessment of a Reconstructed Discontinuous Galerkin Method for Compressible Flows in Lagrangian Formulation

Sponsor:

Start Date: 4/20/17

End Date: 9/30/18

Abstract

Develop and assess a reconstructed discontinuous Galerkin (rDG) method for compressible flows in a Lagrangian formulation.

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A Deep-Learning Approach Towards Auto-Tuning CFD Codes

(6/01/17 - 2/14/18)

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A Deep-Learning Approach Towards Auto-Tuning CFD Codes

Sponsor:

Start Date: 6/01/17

End Date: 2/14/18

Abstract

Heterogeneous computing systems are increasingly becoming the norm in high-performance computing (HPC) norm. For instance, as of the November 2015 TOP500 List, more than 35% of the computational power on the TOP500 now comes from systems containing heterogeneous computing devices, e.g., CPUs, GPUs, APUs, Xeon Phis, and even FPGAs. However, significant hurdles impede a domain scientist ability to extract high performance out of such heterogeneous devices, including (1) selecting the appropriate algorithm(s) for the target heterogeneous device, (2) setting the runtime parameters, and (3) configuring the hardware relative to some evaluation metric, e.g., performance, power, or energy efficiency. Unfortunately, exploring hardware and software design choices often requires time-consuming simulations, and while some brute-force auto-tuning support has been proposed, the results are heuristic that are often narrow in scope, i.e., only applicable to a particular problem. This proposal seeks to study, analyze, and synthesis deep-learning approaches that expose the various parameters as "knobs" that can be tuned via deep learning to optimize for the metric of interest, whether it be performance, power, or energy efficiency.

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Hyperbolic Reconstructed-Discontinuous-Galerkin Method for High-Order Unsteady Viscous Simulations on Unstructured Grids

(5/01/16 - 9/30/19)

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Hyperbolic Reconstructed-Discontinuous-Galerkin Method for High-Order Unsteady Viscous Simulations on Unstructured Grids

Sponsor:

Start Date: 5/01/16

End Date: 9/30/19

Abstract

The objective of the proposed project is to develop a third- and higher-order unsteady viscous solver for 3D unstructured arbitrary grids by combining the FOHS method and the rDG method.

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High-Fidelity Numerical Simulation of Energy Recovery from Oil Shale

(1/01/14 - 12/31/14)

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High-Fidelity Numerical Simulation of Energy Recovery from Oil Shale

Sponsor:

Start Date: 1/01/14

End Date: 12/31/14

Abstract

The objective of the effort discussed in this project is to develop an innovative interdisciplinary program on high-fidelity simulation of energy recovery from oil shale and other unconventional energy resources using advanced computational fluid dynamics methodology. A primary focus of this project is to establish a research center that will provide our expertise and capability in numerical simulation and modeling to address some challenging problems in different INL (Idaho national laboratory)research project and eventually be funded by INL.

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