Research & scholarship

Publications

Work in uncertainty quantification, sensitivity analysis, surrogate modeling, and their applications to complex scientific systems.

Publication records checked against Google Scholar and publisher records · October 2026

Journal articles

2026

  1. Analysis on multi-well effects with the wellbore-aquifer coupled model on compressed air energy storage in aquifers with daily cycles in Dezhou, Shandong of China

    Yi Li, Dongming Han, Jia Zhang, Yaning Liu, Ruihui Chen

    Applied Energy · 421 · 128251 · 2026 · Journal article

    Assigned to the journal issue dated October 15, 2026.

  2. Application of multifidelity proper orthogonal decomposition-based surrogate models to rarefied gas dynamics

    Andrew Kitterman, Nijat Rustamov, Yaning Liu, Saman A. Aryana

    Physics of Fluids · 38(6) · 062021 · 2026 · Journal article

  3. Hierarchical Dirichlet processes for moment-independent global sensitivity analysis

    Michael T. Schmidt, Yaning Liu

    Reliability Engineering & System Safety · 272, Part 3 · 112656 · 2026 · Journal article

  4. Operational performance of compressed CO2 energy storage in aquifers under dynamic reservoir pressure through coupled surface-wellbore-reservoir modeling

    Yinjiang Liu, Yi Li, Xian Luo, Yi Li, Yaning Liu

    Energy · 347 · 140424 · 2026 · Journal article

  5. Subsurface evolution and operational suitability of compressed air energy storage in aquifers under multi-timescale cycling

    Xian Luo, Yi Li, Yinjiang Liu, Jin Xu, Yunhao Li, Geng Gong, Guijin Zhang, Yaning Liu

    Applied Thermal Engineering · 307 · 133167 · 2026 · Journal article

2025

  1. Coupled nonlinear wellbore multiphase flow and thermo-hydro-mechanical analysis of compressed air energy storage in aquifers

    Yi Li, Qian Zhou, Hao Yu, Yi Li, Yinjiang Liu, Leqing Huang, Dong Tang, Guijin Zhang, Yaning Liu

    Applied Energy · 377, Part A · 124441 · 2025 · Journal article

  2. Coupled thermo-hydro-mechanical analysis of inter-seasonal compressed air energy storage in aquifers

    Yi Li, Luping Cai, Xian Luo, Yi Li, Dong Tang, Guijin Zhang, Yaning Liu

    Journal of Energy Storage · 123 · 116753 · 2025 · Journal article

  3. Coupled wellbore-aquifer numerical analysis of underground performance of compressed air energy storage in heterogeneous aquifers

    Yi Li, Chaobin Guo, Jingrui Wang, Ruihui Chen, Yaning Liu

    Journal of Energy Storage · 114, Part A · 115794 · 2025 · Journal article

  4. Modeling underground performance of compressed air energy storage in a practical flat aquifer: Insights on the permeability effects

    Yi Li, Ping Xue, Yi Li, Yaning Liu, Jingrui Wang, Wenjie Yin

    Energy · 322 · 135592 · 2025 · Journal article

  5. Underground performance assessment of compressed CO2 energy storage in aquifers by thermal-hydro-mechanical coupling method

    Yi Li, Yinjiang Liu, Hao Yu, Xian Luo, Yi Li, Dong Tang, Guijin Zhang, Yaning Liu

    Energy · 324 · 135945 · 2025 · Journal article

2024

  1. A novel application of data-consistent inversion to overcome spurious inference in genome-wide association studies

    Negar Janani, Kendra A. Young, Greg Kinney, Matthew Strand, John E. Hokanson, Yaning Liu, Troy Butler, Erin Austin

    Genetic Epidemiology · 48(6) · 270–288 · 2024 · Journal article

  2. Study on the applicability of compressed carbon dioxide energy storage in aquifers under different daily and weekly cycles

    Yi Li, Hao Yu, Yi Li, Dong Tang, Guijin Zhang, Yaning Liu

    Renewable Energy · 222 · 119987 · 2024 · Journal article

  3. The effects of formation inclination on the operational performance of compressed carbon dioxide energy storage in aquifers

    Yi Li, Yinjiang Liu, Jie Cui, Hao Yu, Yi Li, Dong Tang, Guijin Zhang, Yaning Liu

    Renewable Energy · 237, Part A · 121536 · 2024 · Journal article

  4. The impacts of geothermal gradients on compressed carbon dioxide energy storage in aquifers

    Yi Li, Jie Cui, Hao Yu, Yi Li, Dong Tang, Guijin Zhang, Yaning Liu

    Renewable Energy · 231 · 120954 · 2024 · Journal article

  5. The underground performance analysis of compressed air energy storage in aquifers through field testing

    Yi Li, Hao Wang, Jinsheng Wang, Litang Hu, Xiaohua Wu, Yabin Yang, Peng Gai, Yaning Liu, Yi Li

    Applied Energy · 366 · 123329 · 2024 · Journal article

2023

  1. Exploring students’ learning support use in digital game-based math learning: A mixed-methods approach using machine learning and multi-cases study

    C. Dai, F. Ke, Y. Pan, Y. Liu

    Computers & Education · 194 · 2023 · Journal article

  2. Full cycle modeling of inter-seasonal compressed air energy storage in aquifers

    Y. Li, H. Yu, Y. Li, X. Luo, Y. Liu, G. Zhang, D. Tang, Y. Liu

    Energy · 263 Part D · 2023 · Journal article

  3. Numerical verification on the feasibility of compressed carbon dioxide energy storage in two aquifers

    Y. Li, H. Yu, Y. Xiao, Y. Li, Y. Liu, X. Luo, D. Tang, G. Zhang, Y. Liu

    Renewable Energy · 207 · 2023 · Journal article

  4. Potential influences of leakage through a high permeability path on shallow aquifers in compressed air energy storage in aquifers

    Y. Li, Y. Liu, Y. Li, B. Hu, P. Gai

    Renewable Energy · 209 · 2023 · Journal article

2022

  1. A comparison of compressed carbon dioxide energy storage and compressed air energy storage in aquifers using numerical methods

    Y. Li, H. Yu, D. Tang, Y. Li, G. Zhang, Y. Liu

    Renewable Energy · 187 · 2022 · Journal article

  2. Evaluation of rural water supply sustainable operation and management based on cyclic correction framework – a case study of Chongqing, China

    L. Fan, Y. Li, W. Luo, W. Qiao, W. Li, F. Liu, Y. Liu

    Water Supply · 22(2) · 2022 · Journal article

  3. Numerical study on the impacts of layered heterogeneity on the underground process in compressed air energy storage in aquifers

    Y. Li, Y. Li, Y. Liu

    Journal of Energy Storage · 46 · 2022 · Journal article

  4. The Influence Research on Nitrogen Transport and Reaction in the Hyporheic Zone with an In-Stream Structure

    R. Sun, J. Dong, Y. Li, P. Li, Y. Liu, Y. Liu, J. Feng

    International Journal of Environmental Research and Public Health · 19 · 2022 · Journal article

2021

  1. A coupled optimization of groundwater remediation alternatives screening under health risk assessment: An application to a petroleum-contaminated site in a typical cold industrial region in Northeastern China

    R. Chen, Y. Teng, H. Chen, W. Yue, X. Su, Y. Liu, Q. Zhang

    Journal of Hazardous Materials · 407 · 2021 · Journal article

  2. Compressed air energy storage in aquifers: basic principles, considerable factors, and improvement approaches

    Y. Li, Y. Li, Y. Liu, X. Cao

    Reviews in Chemical Engineering · 37(5) · 2021 · Journal article

  3. Randomized quasi-Monte Carlo methods in global sensitivity analysis

    G. Ökten, Y. Liu

    Reliability Engineering and System Safety · 210 · 2021 · Journal article

2020

  1. Numerical investigation of a novel approach to coupling compressed air energy storage in aquifers with geothermal energy

    Y. Li, Y. Liu, B. Hu, Y. Li, J. Dong

    Applied Energy · 279 · 2020 · Journal article

  2. Numerical study on the hydrodynamic and thermodynamic properties of compressed carbon dioxide energy storage in aquifers

    Y. Li, H. Yu, Y. Liu, G. Zhang, D. Tang, Z. Jiang

    Renewable Energy · 151 · 2020 · Journal article

  3. Performance assessment of a newly developed and highly stable sandy cementitious grout for karst aquifers in China

    Y. Li, G. Zhang, H. Jiang, Y. Liu, C. Kuang

    Environmental Earth Sciences · 79 · 2020 · Journal article

2019

  1. Effects of cementitious grout components on rheological properties

    J. Liu, Y. Li, G. Zhang, Y. Liu

    Construction and Building Materials · 227 · 2019 · Journal article

  2. Efficient Bayesian Parameter Inversion Facilitated by Multi-Fidelity Modeling

    Y. Liu

    Applied Computational Electromagnetics Society Journal · 34(2) · 2019 · Journal article

  3. Evaluation of van Genuchten-Mualem model on the relative permeability for unsaturated flow in aperture-based fractures

    J. Sheng, T. Huang, Z. Ye, B. Hu, Y. Liu, Q. Fan

    Journal of Hydrology · 576 · 2019 · Journal article

2018

  1. The parabolic variational inequalities for variably-saturated water flow in heterogeneous fracture networks

    Z. Ye, Q. Jiang, C. Yao, Y. Liu, A. Cheng, S. Huang, Y. Liu

    Geofluids · 2018 · 2018 · Journal article

  2. Thermodynamic analysis of a novel supercritical compressed carbon dioxide energy storage system through advanced exergy analysis

    Q. He, H. Liu, Y. Hao, Y. Liu, W. Liu

    Renewable Energy · 127 · 2018 · Journal article

2017

  1. Implicit sampling combined with reduced order modeling for the inversion of vadose zone hydrological data

    Y. Liu, G.S.H. Pau, S. Finsterle

    Computers & Geosciences · 108 · 2017 · Journal article

2016

  1. A hybrid reduced-order model of fine-resolution hydrologic simulations at a polygonal tundra site

    Y. Liu, G. Bisht, Z. M. Subin, W. J. Riley, G.S.H. Pau

    Vadose Zone Journal · 15(2) · 2016 · Journal article

  2. Accurate and efficient prediction of fine-resolution hydrologic and carbon dynamics from coarse-resolution models

    G.S.H. Pau, C. Shen, W. Riley, Y. Liu

    Water Resources Research · 52 · 2016 · Journal article

  3. Accurate construction of high dimensional model representation with applications to uncertainty quantification

    Y. Liu, M.Y. Hussaini, G. Ökten

    Reliability Engineering & System Safety · 152 · 2016 · Journal article

  4. Evaluation of multiple reduced-order models to enhance confidence in global sensitivity analyses

    Y. Zhang, Y. Liu, G.S.H. Pau, S. Oladyshkin, S. Finsterle

    International Journal of Greenhouse Gas Control · 49 · 2016 · Journal article

2015

  1. Global sensitivity analysis for the Rothermel model based on high dimensional model representation

    Y. Liu, M.Y. Hussaini, G. Ökten

    Canadian Journal of Forest Research · 45 · 2015 · Journal article

  2. Global sensitivity analysis used to interpret biological experimental results

    A. M. Jarrett, Y. Liu, N. G. Cogan, M. Y. Hussaini

    Journal of Mathematical Biology · 71(1) · 151–170 · 2015 · Journal article

  3. Parametric uncertainty quantification in the Rothermel model with randomised quasi-Monte Carlo methods

    Y. Liu, E. Jiménez, M.Y. Hussaini, G. Ökten, Scott Goodrick

    International Journal of Wildland Fire · 24(3) · 307–316 · 2015 · Journal article

2013

  1. Optimization of a Monte Carlo Variance Reduction Method Based on Sensitivity Derivatives

    Y. Liu, M.Y. Hussaini, G. Ökten

    Applied Numerical Mathematics · 72 · 2013 · Journal article

  2. Variance reduction method based on sensitivity derivatives, Part 2

    E. Jiménez, Y. Liu, M.Y. Hussaini

    Applied Numerical Mathematics · 74 · 2013 · Journal article

Preprints

Preprints are listed separately from peer-reviewed journal articles.

2026

  1. A Proper Orthogonal Decomposition–Based Gradient Boosting Machine for Efficient Surrogate Modeling

    Andrew Kitterman, Yaning Liu, Michal Kopera

    SSRN · 6758467 · 2026 · Preprint

    Preprint posted May 13, 2026.

2024

  1. On Monitoring Brain Health from the Depths of Sleep: Feature Engineering and Machine Learning Insights for Digital Biomarker Development

    Brice V. McConnell, Yaning Liu, Ashis K. Biswas, Brianne M. Bettcher, Lindsey M. Medenblik, Josiane L. Broussard, Brendan P. Lucey, Alberto R. Ramos, Vitaly O. Kheyfets

    bioRxiv · 2024.02.27.581950 · 2024 · Preprint

Books & educational resources

2020

  1. First Semester in Numerical Analysis with Python

    Y. Liu, Giray Ökten

    Open Textbook Library · 2020 · Book

  2. Probability and Simulation: A Python Companion

    Y. Liu, Giray Ökten

    Python companion to Probability and Simulation (Springer) · 2020 · Book companion

    Python supplementary material; the main textbook is authored by Giray Ökten.

Book chapters

2016

  1. Uncertainty and robustness in weather derivative models

    A. Göncü, Y. Liu, G. Ökten, M.Y. Hussaini

    Monte Carlo and Quasi-Monte Carlo Methods 2014 · 351–365 · 2016 · Book chapter

Refereed conference papers

2018

  1. Accurate and efficient Bayesian parameter inversion based on low-fidelity model solutions

    Y. Liu

    International Applied Computational Electromagnetics Society Symposium · 2018 · Conference paper

  2. Efficient reduced-order models for evaluating the impact of CO2 and brine leakage on groundwater

    Y. Liu, L. Zheng

    Proceedings of 2018 TOUGH Symposium · 2018 · Conference paper

2015

  1. Bayesian parameter inversion with implicit sampling for a vadose zone hydrological model

    Y. Liu, G.S.H. Pau, S. Finsterle

    Proceedings of TOUGH Symposium · 2015 · Conference paper

2013

  1. Global sensitivity analysis for the Rothermel model based on high dimensional model representation

    Y. Liu, M.Y. Hussaini, Giray Ökten

    4th Fire Behavior and Fuels Conference Proceedings · 2013 · Conference paper