Representation of the Multiphysical Properties of SiO2-Al2O3-CaO Slags by Deep Neural Networks
- År
- 2021
- Type
- Vitenskapelig artikkel
It is well known that long time natural aging (NA) after quenching from solution treatment will significantly reduce the precipitation hardening kinetics and peak hardness of most 6xxx aluminum alloys during later artificial aging (AA). Here we demonstrate an effective strategy to accelerate...
With the current rise in the global blue food demand, it is crucial to investigate the current and future production activities and their potential impact on the environment. We are looking at 6 different technologies for salmon aquaculture in Norway with various levels of maturity and market...
The contact angle is a crucial parameter for assessing wettability, but traditional methods like Amott and USBM provide different metrics. To enhance our understanding of wettability and enable quantitative characterization, in-situ contact angle measurement using X-ray micro-computed tomography has...
This study utilizes GPU computing to perform seismic full waveform inversion, a high-dimensional and ill-posed problem. By employing hybrid Hamiltonian Monte Carlo methods, it enables efficient computation of the posterior distribution under various priors, which regularize the problem. The approach...
In this paper, we explore the possibility of specifying the ideal hypothetical positions of matrices blocks and fractures in fractured porous media as a single-continuum reservoir model in a way that mimics the dual-porosity dual-permeability (DPDP) configuration. In order to get an ideal mimic, we...