Using Machine Learning to Predict Multiphase Flow through Complex Fractures von Ting, Allen K., Santos, Javier E., Guiltinan, Eric

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A deep learning approach to identify and segment alpha-smooth muscle actin stress fiber positive cells von Hillsley, Alexander, Santos, Javier E., Rosales, Adrianne M.

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Characterizing the Impacts of Multi‐Scale Heterogeneity on Solute Transport in Fracture Networks von Sweeney, Matthew R., Hyman, Jeffrey D., O’Malley, Daniel, Santos, Javier E., Carey, J. William, Stauffer, Philip H., Viswanathan, Hari S.

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Unlocking Solutions: Innovative Approaches to Identifying and Mitigating the Environmental Impacts of Undocumented Orphan Wells in the United States von O’Malley, Daniel, Delorey, Andrew A., Guiltinan, Eric J., Ma, Zhiwei, Kadeethum, Teeratorn, Lackey, Greg, Lee, James, E. Santos, Javier, Follansbee, Emily, Nair, Manoj C., Pekney, Natalie J., Jahan, Ismot, Mehana, Mohamed, Hora, Priya, Carey, J. William, Govert, Andrew, Varadharajan, Charuleka, Ciulla, Fabio, Biraud, Sebastien C., Jordan, Preston, Dubey, Mohit, Santos, Andre, Wu, Yuxin, Kneafsey, Timothy J., Dubey, Manvendra K., Weiss, Chester J., Downs, Christine, Boutot, Jade, Kang, Mary, Viswanathan, Hari

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Classifying Facies in 3D Digital Rock Images Using Supervised and Unsupervised Approaches von Temizel, Cenk, Odi, Uchenna, Balaji, Karthik, Aydin, Hakki, Santos, Javier E.

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Impact of COVID‐19 on pacemaker implant von Gonzales‐Luna, Ana C., Torres‐Valencia, Javier O., Alarcón‐Santos, Javier E., Segura‐Saldaña, Pedro A.

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Journey over destination: dynamic sensor placement enhances generalization von Marcato, Agnese, Guiltinan, Eric, Viswanathan, Hari, O’Malley, Daniel, Lubbers, Nicholas, Santos, Javier E

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Conditioning well data to rule-based lobe model by machine learning with a generative adversarial network von Jo, Honggeun, Santos, Javier E, Pyrcz, Michael J

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Predictive scale-bridging simulations through active learning von Karra, Satish, Mehana, Mohamed, Lubbers, Nicholas, Chen, Yu, Diaw, Abdourahmane, Santos, Javier E., Pachalieva, Aleksandra, Pavel, Robert S., Haack, Jeffrey R., McKerns, Michael, Junghans, Christoph, Kang, Qinjun, Livescu, Daniel, Germann, Timothy C., Viswanathan, Hari S.

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A Dataset of 3D Structural and Simulated Transport Properties of Complex Porous Media von Santos, Javier E., Chang, Bernard, Gigliotti, Alex, Yin, Ying, Song, Wenhui, Prodanović, Maša, Kang, Qinjun, Lubbers, Nicholas, Viswanathan, Hari

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3D Dataset of binary images: A collection of synthetically created digital rock images of complex media von Santos, Javier E., Pyrcz, Michael J., Prodanović, Maša

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Learning a general model of single phase flow in complex 3D porous media von Santos, Javier E, Marcato, Agnese, Kang, Qinjun, Mehana, Mohamed, O’Malley, Daniel, Viswanathan, Hari, Lubbers, Nicholas

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PoreFlow-Net: A 3D convolutional neural network to predict fluid flow through porous media von Santos, Javier E., Xu, Duo, Jo, Honggeun, Landry, Christopher J., Prodanović, Maša, Pyrcz, Michael J.

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Microgrid Protection Coordination Considering Clustering and Metaheuristic Optimization von Santos-Ramos, Javier E., Saldarriaga-Zuluaga, Sergio D., López-Lezama, Jesús M., Muñoz-Galeano, Nicolás, Villa-Acevedo, Walter M.

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Digital Rocks Portal (Digital Porous Media): Connecting data, simulation and community von Prodanović, Maša, Esteva, Maria, McClure, James, Chang, Bernard C., Santos, Javier E., Radhakrishnan, Anuradha, Singh, Ankita, Khan, Hasan

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Evaluating three biomarkers as prognostic factors of in-hospital mortality and severity in heart failure: A prospective cohort von Segura-Saldaña, Pedro A., Chambergo-Michilot, Diego, Alarcón-Santos, Javier E., Aguilar, Cristian, Alvarez-Vargas, Mayita L., Padilla-Reyes, Marcos, Leon-Vivar, Rodrigo, Pariona-Javier, Marcos

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Modeling Nanoconfinement Effects Using Active Learning von Santos, Javier E, Mehana, Mohammed, Wu, Hao, Prodanović, Maša, Kang, Qinjun, Lubbers, Nicholas, Viswanathan, Hari, Pyrcz, Michael J

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Computationally Efficient Multiscale Neural Networks Applied to Fluid Flow in Complex 3D Porous Media von Santos, Javier E., Yin, Ying, Jo, Honggeun, Pan, Wen, Kang, Qinjun, Viswanathan, Hari S., Prodanović, Maša, Pyrcz, Michael J., Lubbers, Nicholas

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Development of the Senseiver for efficient field reconstruction from sparse observations von Santos, Javier E., Fox, Zachary R., Mohan, Arvind, O’Malley, Daniel, Viswanathan, Hari, Lubbers, Nicholas

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MPLBM-UT: Multiphase LBM library for permeable media analysis von Santos, Javier E., Gigliotti, Alex, Bihani, Abhishek, Landry, Christopher, Hesse, Marc A., Pyrcz, Michael J., Prodanović, Maša

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