A5042903437- Surface Modification and Superhydrophobicity
- Electrostatics and Colloid Interactions
- Neural Networks and Applications
- Hydraulic Fracturing and Reservoir Analysis
- Polymer composites and self-healing
- Groundwater flow and contamination studies
- Wind and Air Flow Studies
- Drilling and Well Engineering
- Thermal properties of materials
- Semantic Web and Ontologies
- Coagulation and Flocculation Studies
- Heat Transfer and Optimization
- Aerogels and thermal insulation
- Model Reduction and Neural Networks
- Anodic Oxide Films and Nanostructures
- nanoparticles nucleation surface interactions
- Membrane Separation and Gas Transport
- Advanced Sensor and Energy Harvesting Materials
- Hydrocarbon exploration and reservoir analysis
- Time Series Analysis and Forecasting
- Seismology and Earthquake Studies
- Astronomical Observations and Instrumentation
- Advanced Sensor and Control Systems
- Sensor Technology and Measurement Systems
- Composite Material Mechanics
Lawrence Livermore National Laboratory
2018-2024
The University of Texas at Austin
2013
Abstract This paper presents fracture simulations of multiple, interacting, non-planar fractures in three dimensions. The provides a short description the mathematical formulation model but primary focus is on propagation examples and illustrations how multiple hydraulic interact which are presented intended to provide insight into number growing affects shapes, changes fluid viscosity can cause grow together or apart, limited-entry at perforations interacting fractures. simulator discussed...
Abstract Hysteretic sorption and desorption of water is observed from 0 to 95% relative humidity 298–333 K on a glassy polyurethane foam. It postulated that sorption-induced swelling the increases concentration accessible hydrogen-bonding adsorption sites for water. The accessibility kinetically controlled due restricted thermal motions chains in polymer, causing difference site concentrations during desorption. This discrepancy leads hysteresis sorbed A coupled chemo-mechanical model...
Bare aluminum metal surfaces are highly reactive, which leads to the spontaneous formation of a protective oxide surface layer. Because many subsequent corrosive processes mediated by water, structure and dynamics water at interface anticipated influence corrosion kinetics. Using molecular simulations with reactive force field, we model behavior aqueous ions in adsorbed onto across range ion concentrations film thicknesses corresponding increasing relative humidity. We find that diffusivity...
Moisture sorption and transport can pose severe consequences related to the performance lifetime of materials in many applications. This work explores modeling characterization diffusive moisture coupled with kinetic Langmuir adsorption a multi-material system. A finite volume method was applied an implicit Euler time-stepping scheme solve unsteady diffusion-sorption equations. level set framework smoothed Heaviside function used implicitly treat concentration flux conditions at material...
The use of deep learning methods in scientific computing represents a potential paradigm shift engineering problem solving. One the most prominent developments is Physics-Informed Neural Networks (PINNs), which neural networks are trained to satisfy partial differential equations (PDEs). While this method shows promise, standard version has been shown struggle accurately predicting dynamic behavior time-dependent problems. To address challenge, have proposed that decompose time domain into...
Bare aluminum metal surfaces are highly reactive, which leads to the spontaneous formation of a protective oxide surface layer. Because many subsequent corrosive processes mediated by water, structure and dynamics water at interface anticipated influence corrosion kinetics. Using molecular simulations with reactive force field, we model behavior aqueous ions in adsorbed onto across range ion concentrations film thicknesses corresponding increasing relative humidity. We find that diffusivity...