| Creation of a dual-porosity and dual-depth micromodel for the study of multiphase flow in complex porous media W Yun, CM Ross, S Roman, AR Kovscek Lab on a Chip 17 (8), 1462-1474, 2017 | 78 | 2017 |
| Toward reservoir-on-a-chip: Rapid performance evaluation of enhanced oil recovery surfactants for carbonate reservoirs using a calcite-coated micromodel W Yun, S Chang, DA Cogswell, SL Eichmann, A Gizzatov, G Thomas, ... Scientific reports 10 (1), 782, 2020 | 75 | 2020 |
| Microvisual investigation of polymer retention on the homogeneous pore network of a micromodel W Yun, AR Kovscek Journal of Petroleum Science and Engineering 128, 115-127, 2015 | 47 | 2015 |
| Controlled Design and Fabrication of SERS-SEF Multifunctional Nanoparticles for Nanoprobe Applications: Morphology-Dependent SERS Phenomena S Chang, S Eichmann, TY Huang, W Yun, W Wang The Journal of Physical Chemistry C, doi.org/10.1021/acs.jpcc.7b00688, 2017 | 27 | 2017 |
| Magnetic SERS Composite Nanoparticles for Microfluidic Oil Reservoir Tracer Detection and Nanoprobe Applications S Chang, W Yun, SL Eichmann, ME Poitzsch, W Wang ACS Applied Nano Materials, 2018 | 19 | 2018 |
| Deep learning for automated characterization of pore-scale wettability W Yun, Y Liu, AR Kovscek Advances in Water Resources 144, 103708, 2020 | 14 | 2020 |
| Application of digital volume correlation to x-ray computed tomography images of shale TW Kim, W Yun, AR Kovscek Energy & Fuels 34 (11), 13636-13649, 2020 | 7 | 2020 |
| Micro Visual Investigation of Polymer Retention in a Micromodel W Yun https://pangea.stanford.edu/ERE/pdf/pereports/MS/Yun_Wonjun2014.pdf?, 2014 | 7 | 2014 |
| Clustering Music by Genres Using Supervised and Unsupervised Algorithms K Kim, W Yun, R Kim http://cs229.stanford.edu/proj2015/129_report.pdf, 0 | 4* | |
| The motion of long bubbles in microchannels using a meter-long, rectangular capillary on a chip N Nazari, W Yun, AR Kovscek Journal of Colloid and Interface Science 638, 149-160, 2023 | 3 | 2023 |
| Deep Learning: Automated Surface Characterization of Porous Media to Understand Geological Fluid Flow W Yun Stanford Class Project (Convolutional Neural Network), 0 | 3 | |
| Application of Digital Volume Correlation and X-ray Computed Tomography Reveal Shale Geomechanical Properties at Elevated Temperature TW Kim, W Yun, AR Kovscek AGU Fall Meeting Abstracts 2019, H33N-2174, 2019 | | 2019 |
| Design and fabrication of a micro-sized channel to investigate the motion of long bubbles in porous media E Li, W Yun, AR Kovscek AGU Fall Meeting Abstracts 2019, ED41B-1020, 2019 | | 2019 |
| Advances in Experimental Microfluidics for Improved Pore-Scale Understanding of Enhanced Oil Recovery Processes AR Kovscek, W Yun AGU Fall Meeting 2018, 2018 | | 2018 |
| Advances in Experimental Microfluidics for Improved Pore-Scale Understanding of Enhanced Oil Recovery Processes W Yun, AR Kovscek AGU Fall Meeting Abstracts, 2018 | | 2018 |
| Addition of 3D realism to silicon-etched micromodels using dual-depth etching and µ-PIV W Yun, AR Kovscek International Conference on Complex Fluids Flows in Porous Media, 2015 | | 2015 |
| Automated In-Situ Wettability Characterization Using Deep Learning W Yun, AR Kovscek | | |
Anthony R. KovscekEnergy Science & Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
