222 citations
- Stanford UniversityUS9 papers
- Stanford MedicineUS3 papers
- Institute of Mathematical StatisticsUS2 papers
- University of FloridaUS2 papers
- Bristol Robotics LaboratoryGB1 paper
- Cardiovascular Institute of the SouthUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Howard UniversityUS1 paper
- Mechanics' InstituteUS1 paper
- Northeastern UniversityUS1 paper
- Oak Ridge National LaboratoryUS1 paper
- Ocean University of ChinaCN1 paper
20 papers
Coupled two-phase flow and surfactant/PFAS transport in porous media with angular pores: From pore-scale physics to Darcy-scale modeling
Sidian Chen, Bo Guo, Tianyuan Zheng
Two-phase surfactant-laden flow and transport in porous media are central to many natural and engineering applications. Surfactants alter two-phase flow by modifying interfacial te…
A statistical understanding of oxygen vacancies in distorted high-entropy oxides
Adam Potter, Yifan Wang, Kiran Hamkins +4
High-entropy perovskite oxides have emerged as promising electrode materials for solid oxide electrolyzers. However, their compositional complexity makes the formation of oxygen va…
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Adrienne M. Propp, Daniel M. Tartakovsky
The development of efficient surrogates for partial differential equations (PDEs) is a critical step towards scalable modeling of complex, multiscale systems-of-systems. Convolutio…
Capturing dynamical correlations using implicit neural representations
Sathya Chitturi, Zhurun Ji, Alexander Petsch +16
The observation and description of collective excitations in solids is a fundamental issue when seeking to understand the physics of a many-body system. Analysis of these excitatio…
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
Divakar Vashisth, Tapan Mukerji
Petrophysical inversion is an important aspect of reservoir modeling. However due to the lack of a unique and straightforward relationship between seismic traces and rock propertie…
Sensitivity analysis of a mean-value exergy-based internal combustion engine model
Gabriele Pozzato, Denise Rizzo, Simona Onori
In this work, we conduct a sensitivity analysis of the mean-value internal combustion engine exergy-based model, recently developed by the authors, with respect to different drivin…