Utah FORGE: Hydrogeothermal modeling of a granitic based discrete fracture network
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Nadimi, S.↗
SEARCH · Engineering Papers
Results for “discretization”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Discrete Dilatant Pathway Modeling of Gas Migration Through Compacted Bentonite Clay
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58 GEOSCIENCES↗
High-order discretization of a stable time-domain integral equation for 3D acoustic scattering
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Barnett, Alex↗
A simple, optimally convergent, parameter-free discretization of diffusive terms with the discontinuous Galerkin method
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Johnson, Philip E.↗
Approximate inversion of discrete Fourier integral operators
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Feliu-Fabà, Jordi (ORCID:0000000342114973)↗
Natural fracture mapping and discrete fracture network modeling of Wolfcamp formation in hydraulic fracturing test site phase 1 area, Midland Basin: Fractures from 3D seismic data, image log, and core
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Wang, Guochang (ORCID:0000000182462441)↗
“Deep reinforcement learning for engineering design through topology optimization of elementally discretized design domains”
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36 MATERIALS SCIENCE↗
A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes
When modeling sparsely observed multivariate data, strong prior information elicited from experts can be used to bolster predictive accuracy and counteract sampling bias. Similarly, modeling autocorrelation in space can help make use of co-occurrence patterns present in many types of spatial data. To make use of both expert prior information and spatial structure, we propose a novel graphical model for a spatial Bayesian network developed specifically to address challenges in inferring the attributes of buildings from geographically sparse observational data. This model is implemented as the sum of a spatial multivariate Gaussian random field and a tabular conditional probability function in real-valued space prior to projection onto the probability simplex. This modeling form is especially suitable for the usage of prior information in the form of sets of atomic rules obtained from experts. To perform inference with missing data, we implement a Markov chain Monte Carlo scheme composed of alternating steps of Gibbs sampling of missing entries and Hamiltonian Monte Carlo for model parameters. A case study in building attribution is presented to highlight the advantages and limitations of this approach.
97 MATHEMATICS AND COMPUTING↗
Discrete Orientations of Interfacial Waters Direct Crystallization of Mica-Binding Proteins
Understanding the basis of templated molecular assembly on a solid surface requires a fundamental comprehension of both short- and long-range aqueous response to the surface under a variety of solution conditions. Herein we provide a detailed picture of how the molecular-scale response to different mica surfaces yields distinct solvent orientations that produce quasi-static directional potentials onto which macromolecules can adsorb. We connect this directionality to observed (a)symmetric epitaxial alignment of designed proteins onto these surfaces, corroborate our findings with 3D atomic force microscopy experiments, and identify slight differences in surface structure as the origin of this effect. Furthermore, our work provides a detailed picture of the intrinsic electrolyte response in the vicinity of mineral interfaces, with clear predictions for experiment, and highlights the role of solvent on the predictive assembly of hierarchical materials on mineral surfaces.
37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CH↗