Projects per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
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Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Stochastic Nitrate Transport Modeling in the Bear Spring area, Olmsted Country, MN
1/25/22 → 8/31/25
Project: Research project
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Inertia and Three-dimensional Flow Effects on Mixing and Reaction Hotspots at Fracture Intersections
9/1/21 → 8/31/23
Project: Research project
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CAREER: Predicting Transport, Mixing, and Reaction in Three-dimensional Heterogeneous Fractured Media Across Scales
7/1/21 → 6/30/26
Project: Research project
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Collaborative Research: Learning Convection Heat Transfer from Mass Transfer Visualization
6/1/21 → 5/31/24
Project: Research project
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Characterizing subsurface contaminant source with inverse modeling
Korea Institute of Science & Technology
5/15/20 → 12/31/22
Project: Research project
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Aquifer-scale mapping of injection capacity for potential aquifer storage and recovery sites: Methodology development and case studies in Minnesota, USA
Shandilya, R. N., Bresciani, E., Runkel, A. C., Jennings, C. E., Lee, S. & Kang, P. K., Apr 2022, In: Journal of Hydrology: Regional Studies. 40, 101048.Research output: Contribution to journal › Article › peer-review
Open Access -
Influence of hydrogeological and operational parameters on well pumping capacity
Shandilya, R. N., Bresciani, E., Kang, P. K. & Lee, S., May 2022, In: Journal of Hydrology. 608, 127643.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Machine learning to predict effective reaction rates in 3D porous media from pore structural features
Liu, M., Kwon, B. & Kang, P. K., Dec 2022, In: Scientific reports. 12, 1, 5486.Research output: Contribution to journal › Article › peer-review
Open Access -
Pore-Scale Flow Effects on Solute Transport in Turbulent Channel Flows Over Porous Media
Kim, J. S., Kang, P. K., He, S., Shen, L., Kumar, S. S., Hong, J. & Seo, I. W., 2022, (Accepted/In press) In: Transport in Porous Media.Research output: Contribution to journal › Article › peer-review
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Predicting remediation efficiency of LNAPLs using surrogate polynomial chaos expansion model and global sensitivity analysis
Kim, T., Han, W. S., Piao, J., Kang, P. K. & Shin, J., May 2022, In: Advances in Water Resources. 163, 104179.Research output: Contribution to journal › Article › peer-review
Datasets
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Particle image velocimetry data characterizing flow and turbulence fields at free-flow-porous media interface
Kang, P. & Kim, J., Data Repository for the University of Minnesota, 2020
DOI: 10.13020/qe5z-sj53, http://hdl.handle.net/11299/217230
Dataset
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Digitized fracture network data from Bristol Channel Basin, UK
Kang, P., Data Repository for the University of Minnesota, 2019
DOI: 10.13020/ah7v-6n67, http://hdl.handle.net/11299/202350
Dataset