Ghent University Academic Bibliography

Your filters: cql: keyword exact "Sensitivity analysis"

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Coupled TM‑damage modeling and global sensitivity analysis of thermal spalling in heterogeneous rocks

Liyuan Liu, Mingshan Shi, Derek Elsworth, Tao Wang, Hongguang Ji, Le Zhang (UGent) and Yaohui Li

(2026) INTERNATIONAL JOURNAL OF MINING SCIENCE AND TECHNOLOGY. 36(3). p.535-552
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Sensitivity-guided thermo-hydro-mechanical modeling and operation of a multi-well geothermal system : a case study in the Xiong'an new area, China

Liyuan Liu, Xuchang Yang, Tao Wang, Pengpeng Ma, Yaohui Li, Shengwen Luo and Le Zhang (UGent)

(2026) CASE STUDIES IN THERMAL ENGINEERING. 80.
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Thermo-hydro-mechanical modeling of geothermal energy systems in deep mines : uncertainty quantification and design optimization

Le Zhang (UGent) , Anne-Catherine Dieudonné, Alexandros Daniilidis, Longjun Dong, Wenzhuo Cao, Robin Thibaut, Luka Tas (UGent) and Thomas Hermans (UGent)

(2025) APPLIED ENERGY. 377(part B).
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Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems : new insights from global sensitivity analyses

Luka Tas (UGent) , Niels Hartog, Martin Bloemendal, David Simpson, Tanguy Robert, Robin Thibaut, Le Zhang (UGent) and Thomas Hermans (UGent)

(2025) GEOTHERMAL ENERGY. 13(1).
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Computational analysis of optogenetic inhibition of CA1 neurons using a data-efficient and interpretable potassium and chloride conducting opsin model

Laila Weyn (UGent) , Thomas Tarnaud (UGent) , Ruben Schoeters, Xavier De Becker (UGent) , Wout Joseph (UGent) , Robrecht Raedt (UGent) and Emmeric Tanghe (UGent)

(2025) JOURNAL OF NEURAL ENGINEERING. 22(4).
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The importance of sensitivity analyses for the MR Steiger approach

Sharon M. Lutz, Kirsten Voorhies, John E. Hokanson, Stijn Vansteelandt (UGent) and Christoph Lange

(2025) GENETIC EPIDEMIOLOGY. 49(7).
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Estimating branch angle distributions from terrestrial laser scanning data using an instance segmentation-based contraction method

Xi Peng (UGent) , Kim Calders (UGent) , Louise Terryn (UGent) and Hans Verbeeck (UGent)

(2025) INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION. 144.
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Multi-objective optimization of energy efficiency and geomechanical safety in high-temperature aquifer thermal energy storage (HT-ATES) systems based on coupled thermo-hydro-mechanical (THM) analysis

Le Zhang (UGent) , Zerui Mi, Wenzhuo Cao, Liyuan Liu, Luka Tas (UGent) and Thomas Hermans (UGent)

(2025) ENERGY. 332.
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Data underlying the publication: Multi-Objective Optimization of Energy Efficiency and Geomechanical Safety in High-Temperature Aquifer Thermal Energy Storage (HT-ATES) Systems Based on Coupled Thermo-Hydro-Mechanical (THM) Analysis

Le Zhang (UGent) and Thomas Hermans (UGent)

(2025)
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Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning

Chao Li (UGent) , Auezhan Amanov, Yifei Li, Can Wang (UGent) , Dagang Wang and Magd Abdel Wahab (UGent)

(2024) ADVANCES IN ENGINEERING SOFTWARE. 188.

Academic Bibliography

Coupled TM‑damage modeling and global sensitivity analysis of thermal spalling in heterogeneous rocks

Sensitivity-guided thermo-hydro-mechanical modeling and operation of a multi-well geothermal system : a case study in the Xiong'an new area, China

Thermo-hydro-mechanical modeling of geothermal energy systems in deep mines : uncertainty quantification and design optimization

Efficiency and heat transport processes of low-temperature aquifer thermal energy storage systems : new insights from global sensitivity analyses

Computational analysis of optogenetic inhibition of CA1 neurons using a data-efficient and interpretable potassium and chloride conducting opsin model

The importance of sensitivity analyses for the MR Steiger approach

Estimating branch angle distributions from terrestrial laser scanning data using an instance segmentation-based contraction method

Multi-objective optimization of energy efficiency and geomechanical safety in high-temperature aquifer thermal energy storage (HT-ATES) systems based on coupled thermo-hydro-mechanical (THM) analysis

Data underlying the publication: Multi-Objective Optimization of Energy Efficiency and Geomechanical Safety in High-Temperature Aquifer Thermal Energy Storage (HT-ATES) Systems Based on Coupled Thermo-Hydro-Mechanical (THM) Analysis

Prediction of residual stress distribution induced by ultrasonic nanocrystalline surface modification using machine learning

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