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A Stochastic 3D Pore-Scale Simulation Method to Predict Permeability of Carbonate Rocks from Pore Size Distribution Data

BACKGROUND Accurately predicting the permeability of rocks is critical for developing and managing fossil fuel and water resources. Traditional approaches to permeability prediction involves using deterministic model equations and petrophysical data such as porosity and pore size distribution, gathered from mercury injection capillary pressure measurements...

Published: 4/27/2023 | Inventor(s): Javier Vilcaez Perez, Olubukola Ishola

Keywords(s): Energy & Environment, Geology, Software, Software: AI, Neural Network & Learning

Category(s): Technology Classifications > Geology, Technology Classifications > Software, Technology Classifications > Environment & Energy

Artificial Intelligence Enabled Software for Mechanical Characterizations of Thin, Soft, Heterogeneous Bio-Tissues

BACKGROUND Heterogeneous membranes or films are thin and soft structures with spatial variations in material property and thickness. Important heterogeneous membranes include bio tissues such as heart valves, eardrum membranes, skin, as well as artificial synthesized bio-compatible tissues, non-woven materials. Mechanical behavior of heterogeneous...

Published: 8/18/2023 | Inventor(s): Lin Guo, Shuodao Wang, Yuan Zhang

Keywords(s): Biotech & Pharmaceutical, Medical Device & Diagnostic, Software: AI, Neural Network & Learning

Category(s): Technology Classifications > Software, Technology Classifications > Biotech & Pharmaceutical, Technology Classifications > Medical Device & Diagnostic

Digital Twin System for Human Pulmonary Healthcare

BACKGROUND Pulmonary diseases such as chronic obstructive pulmonary disease (COPD) was the third-leading cause of death globally in 2019. While there is no cure for COPD, treatments are available and are constantly being developed. Numerical modelling of pulmonary air-particle dynamics is a crucial tool for assessing drug distribution efficacy...

Published: 9/25/2024 | Inventor(s): Yu Feng, Jianan Zhao

Keywords(s): Biotech & Pharmaceutical, Engineering, Medical Device & Diagnostic, Software, Software: AI, Neural Network & Learning

Category(s): Technology Classifications > Medical Device & Diagnostic, Technology Classifications > Biotech & Pharmaceutical