sdmTMB: an R package for fast, flexible, and user-friendly generalized linear mixed effects models with spatial and spatiotemporal random fields
Geostatistical data—spatially referenced observations related to some continuous spatial
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
phenomenon—are ubiquitous in ecology and can reveal ecological processes and inform …
Influences of diffusion and advection on dynamic oil-CO2 mixing during CO2 EOR and storage process: Experimental study and numerical modeling at pore-scales
The dynamic oil-CO 2 mixing and miscible flow in porous media are complex and important
phenomena that occurs during CO 2 injection for enhanced oil recovery (EOR) and …
phenomena that occurs during CO 2 injection for enhanced oil recovery (EOR) and …
Nonlinear dynamic modeling of a tether-net system for space debris capture
In this paper, a flexible tether-net system is applied to capture the space debris and a
numerical framework is established to explore its nonlinear dynamic behaviors, which …
numerical framework is established to explore its nonlinear dynamic behaviors, which …
Charging and discharging heat transfer improvement of shell-tube storage utilizing a partial layer of anisotropic metal foam
Latent heat thermal energy storage systems with phase change material are an efficient
method to address the variability of renewable energy sources. Despite the prospect of the …
method to address the variability of renewable energy sources. Despite the prospect of the …
Methods for recovering conditional independence graphs: a survey
H Shrivastava, U Chajewska - Journal of Artificial Intelligence Research, 2024 - jair.org
Conditional Independence (CI) graphs are a type of Probabilistic Graphical Models that are
primarily used to gain insights about feature relationships. Each edge represents the partial …
primarily used to gain insights about feature relationships. Each edge represents the partial …
Identifying oscillatory brain networks with hidden Gaussian graphical spectral models of MEEG
D Paz-Linares, E Gonzalez-Moreira… - Scientific Reports, 2023 - nature.com
Identifying the functional networks underpinning indirectly observed processes poses an
inverse problem for neurosciences or other fields. A solution of such inverse problems …
inverse problem for neurosciences or other fields. A solution of such inverse problems …
Computational modeling of latent heat thermal energy storage in a shell-tube unit: using neural networks and anisotropic metal foam
Latent heat storage in a shell-tube is a promising method to store excessive solar heat for
later use. The shell-tube unit is filled with a phase change material PCM combined with a …
later use. The shell-tube unit is filled with a phase change material PCM combined with a …
Computational modeling of in-stent restenosis: Pharmacokinetic and pharmacodynamic evaluation
Persistence of the pathology of in-stent restenosis even with the advent of drug-eluting
stents warrants the development of highly resolved in silico models. These computational …
stents warrants the development of highly resolved in silico models. These computational …
Learning about structural errors in models of complex dynamical systems
Complex dynamical systems are notoriously difficult to model because some degrees of
freedom (eg, small scales) may be computationally unresolvable or are incompletely …
freedom (eg, small scales) may be computationally unresolvable or are incompletely …
A shell-tube latent heat thermal energy storage: Influence of metal foam inserts in both shell and tube sides
Enhancing heat transfer in latent heat thermal energy storage systems is of utmost
importance to facilitate the efficient absorption and release of thermal energy. The primary …
importance to facilitate the efficient absorption and release of thermal energy. The primary …