Search research articles
Contact Us
Filters
Showing results (1-10 of 10) with videos related to
Page
of 1
Sort By:
Physical Review. E
|
December 17, 2020
Transient flow modeling in fractured media using graphs
Shriram Srinivasan, Daniel O'Malley, Jeffrey D Hyman, et al.
Biotechnology and Bioengineering
|
December 24, 2024
Open-Source Anaerobic Digestion Modeling Platform, Anaerobic Digestion Model No. 1 Fast (ADM1F)
Kuang Zhu, Wenjuan Zhang, Elchin Jafarov, et al.
IEEE Transactions on Visualization and Computer Graphics
|
June 23, 2016
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph
Garrett Aldrich, Jeffrey D Hyman, Satish Karra, et al.
Scientific Reports
|
August 10, 2020
Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media
Nicholas Lubbers, Animesh Agarwal, Yu Chen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 13, 2019
Branching of hydraulic cracks enabling permeability of gas or oil shale with closed natural fractures
Saeed Rahimi-Aghdam, Viet-Tuan Chau, Hyunjin Lee, et al.
Scientific Reports
|
August 5, 2018
Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning
Gowri Srinivasan, Jeffrey D Hyman, David A Osthus, et al.
The Science of the Total Environment
|
August 27, 2025
From pixels to patterns: Coupling Optical Coherence Tomography and machine learning for monitoring coastal wetland root systems
Mohamed O Hassan, Aramy Truong, Maruti Mudunuru, et al.
Scientific Reports
|
June 11, 2024
Deep learning with mixup augmentation for improved pore detection during additive manufacturing
Bulbul Ahmmed, Elisabeth G Rau, Maruti K Mudunuru, et al.
Scientific Reports
|
November 6, 2021
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Shriram Srinivasan, Daniel O'Malley, Maruti K Mudunuru, et al.
Scientific Reports
|
September 27, 2023
Predictive scale-bridging simulations through active learning
Satish Karra, Mohamed Mehana, Nicholas Lubbers, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Physical Review. E
|
December 17, 2020
Transient flow modeling in fractured media using graphs
Shriram Srinivasan, Daniel O'Malley, Jeffrey D Hyman, et al.
Biotechnology and Bioengineering
|
December 24, 2024
Open-Source Anaerobic Digestion Modeling Platform, Anaerobic Digestion Model No. 1 Fast (ADM1F)
Kuang Zhu, Wenjuan Zhang, Elchin Jafarov, et al.
IEEE Transactions on Visualization and Computer Graphics
|
June 23, 2016
Analysis and Visualization of Discrete Fracture Networks Using a Flow Topology Graph
Garrett Aldrich, Jeffrey D Hyman, Satish Karra, et al.
Scientific Reports
|
August 10, 2020
Modeling and scale-bridging using machine learning: nanoconfinement effects in porous media
Nicholas Lubbers, Animesh Agarwal, Yu Chen, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
January 13, 2019
Branching of hydraulic cracks enabling permeability of gas or oil shale with closed natural fractures
Saeed Rahimi-Aghdam, Viet-Tuan Chau, Hyunjin Lee, et al.
Scientific Reports
|
August 5, 2018
Quantifying Topological Uncertainty in Fractured Systems using Graph Theory and Machine Learning
Gowri Srinivasan, Jeffrey D Hyman, David A Osthus, et al.
The Science of the Total Environment
|
August 27, 2025
From pixels to patterns: Coupling Optical Coherence Tomography and machine learning for monitoring coastal wetland root systems
Mohamed O Hassan, Aramy Truong, Maruti Mudunuru, et al.
Scientific Reports
|
June 11, 2024
Deep learning with mixup augmentation for improved pore detection during additive manufacturing
Bulbul Ahmmed, Elisabeth G Rau, Maruti K Mudunuru, et al.
Scientific Reports
|
November 6, 2021
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Shriram Srinivasan, Daniel O'Malley, Maruti K Mudunuru, et al.
Scientific Reports
|
September 27, 2023
Predictive scale-bridging simulations through active learning
Satish Karra, Mohamed Mehana, Nicholas Lubbers, et al.
Page
of 1