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Computational investigation of dual filler-incorporated polymer membranes for efficient CO2 and H2 separation: MOF/COF/Polymer mixed matrix membranes
(American Chemical Society, 2023-01-26)
Mixed matrix membranes (MMMs) composed of two different fillers such as metal-organic frameworks (MOFs) and covalent-organic frameworks (COFs) embedded into polymers provide enhanced gas separation performance. Since it ...
Comparative characterization of indoor VLC and MMW communications via ray tracing simulations
(IEEE, 2023)
The demand for ultra-high-speed indoor wireless connectivity is ever-increasing, which poses unique challenges for the next generation wireless communication system design. This has prompted the exploration of higher ...
Investigating the violation of charge-parity symmetry through top-quark chromoelectric dipole moments by using machine learning techniques
(Jagiellonian University, 2023)
There are a number of studies in the literature on the search for Charge- Parity (CP) violating signals in top-quark productions at the LHC. In most of these studies, ChromoMagnetic Dipole Moments (CMDM) and ChromoElectric ...
A machine learning approach to deal with ambiguity in the humanitarian decision-making
(Wiley, 2023-09)
One of the major challenges for humanitarian organizations in response planning is dealing with the inherent ambiguity and uncertainty in disaster situations. The available information that comes from different sources in ...
Land subsidence susceptibility mapping using interferometric synthetic aperture radar (InSAR) and machine learning models in a semiarid region of iran
(MDPI, 2023-04)
Most published studies identify groundwater extraction as the leading cause of land subsidence (LS). However, the causes of LS are not only attributable to groundwater extraction. Other land-use practices can also affect ...
Accuracy limits of pair distribution function analysis in structural characterization of nanocrystalline powders by X-ray diffraction
(Turkish Chemical Society, 2022)
We report the minimum errors of structural parameters, namely lattice parameter, crystallite size, and atomic displacement parameters, expected from Pair Distribution Function (PDF) analysis of nanocrystalline gold powders ...
Investigation of pair distribution function method on structural analysis of nanocrystalline powders
(Int Union Crystallography, 2022-08)
N/A
Error bounds of pair distribution function analysis in characterization of thermal disorder in nanocrystals
(Int Union Crystallography, 2022-08)
N/A
Strange hadron collectivity in pPb and PbPb collisions
(Springer, 2023-05-02)
The collective behavior of
and
strange hadrons is studied by measuring the elliptic azimuthal anisotropy (v2) using the scalar-product and multiparticle correlation methods. Proton-lead (pPb) collisions at a ...
Dispersive transverse waves for a strain-limiting continuum model
(Sage, 2023-10)
It is well known that propagation of waves in homogeneous linearized elastic materials of infinite extent is not dispersive. Motivated by the work of Rubin, Rosenau, and Gottlieb, we develop a generalized continuum model ...
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