Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Santos, Javier E."'
Autor:
Bhattarai, Manish, Santos, Javier E., Jones, Shawn, Biswas, Ayan, Alexandrov, Boian, O'Malley, Daniel
The advent of large language models (LLMs) has significantly advanced the field of code translation, enabling automated translation between programming languages. However, these models often struggle with complex translation tasks due to inadequate c
Externí odkaz:
http://arxiv.org/abs/2407.19619
Autor:
Chung, Jaehong, Marcato, Agnese, Guiltinan, Eric J., Mukerji, Tapan, Viswanathan, Hari, Lin, Yen Ting, Santos, Javier E.
This study introduces a hybrid fluid simulation approach that integrates generative diffusion models with physics-based simulations, aiming at reducing the computational costs of flow simulations while still honoring all the physical properties of in
Externí odkaz:
http://arxiv.org/abs/2406.19333
Recreating complex, high-dimensional global fields from limited data points is a grand challenge across various scientific and industrial domains. Given the prohibitive costs of specialized sensors and the frequent inaccessibility of certain regions
Externí odkaz:
http://arxiv.org/abs/2312.09176
Autor:
Chung, Jaehong, Marcato, Agnese, Guiltinan, Eric J., Mukerji, Tapan, Lin, Yen Ting, Santos, Javier E.
Pore-scale simulations accurately describe transport properties of fluids in the subsurface. These simulations enhance our understanding of applications such as assessing hydrogen storage efficiency and forecasting CO$_2$ sequestration processes in u
Externí odkaz:
http://arxiv.org/abs/2312.04375
Autor:
Santos, Javier E., Marcato, Agnese, Kang, Qinjun, Mehana, Mohamed, O'Malley, Daniel, Viswanathan, Hari, Lubbers, Nicholas
Modeling effective transport properties of 3D porous media, such as permeability, at multiple scales is challenging as a result of the combined complexity of the pore structures and fluid physics - in particular, confinement effects which vary across
Externí odkaz:
http://arxiv.org/abs/2310.14298
In this paper, we introduce Pysimfrac, a open-source python library for generating 3-D synthetic fracture realizations, integrating with fluid simulators, and performing analysis. Pysimfrac allows the user to specify one of three fracture generation
Externí odkaz:
http://arxiv.org/abs/2309.13849
Autor:
Sweeney, Matthew R., Hyman, Jeffrey D., O'Malley, Daniel, Santos, Javier E., Carey, J. William, Stauffer, Philip H., Viswanathan, Hari S.
We model flow and transport in three-dimensional fracture networks with varying degrees of fracture-to-fracture aperture/permeability heterogeneity and network density to show how changes in these properties can cause the emergence of anomalous flow
Externí odkaz:
http://arxiv.org/abs/2306.00773
Typical generative diffusion models rely on a Gaussian diffusion process for training the backward transformations, which can then be used to generate samples from Gaussian noise. However, real world data often takes place in discrete-state spaces, i
Externí odkaz:
http://arxiv.org/abs/2305.11089
Spatial nonstationarity, the location variance of features' statistical distributions, is ubiquitous in many natural settings. For example, in geological reservoirs rock matrix porosity varies vertically due to geomechanical compaction trends, in min
Externí odkaz:
http://arxiv.org/abs/2212.04633
Autor:
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.
Publikováno v:
Sci. Rep. 13, 16262 (2023)
Throughout computational science, there is a growing need to utilize the continual improvements in raw computational horsepower to achieve greater physical fidelity through scale-bridging over brute-force increases in the number of mesh elements. For
Externí odkaz:
http://arxiv.org/abs/2209.09811