To understand how hierarchically structured functional materials operate, analytical tools are needed that can reveal small structural and chemical details in large sample volumes. Often, a single method alone is not sufficient to get a complete picture of processes happening at multiple length scales. Here we present a correlative approach combining three-dimensional X-ray imaging techniques a...

We introduce a novel method to produce macroporous ceramics by capillary suspensions. Adding a small amount (~1 vol%) of an immiscible secondary phase to a low concentration (~20 vol%) suspension can increase the yield stress by several orders of magnitude. This drastic change in flow behavior is induced by the creation of a sample-spanning particle network in the suspension controlled by capil...

BACKGROUND Biochemical and physical characteristics of extracellular environment play a key role in assisting cell behavior over different molecular pathways. In this study, we investigated how the presence of chemical binding sites, the pore network and the stiffness of designed scaffolds affected prostate cancer cells. METHODS A blend of poly hydroxyethyl methacrylate-alginate-gelatin scaff...

Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid flow are inferred from rock sample data. However, due to the limitations posed in the sample data (sparseness and noise), this method often yields inaccurate results. Consequently, production information is normally used...

Packed bed reactors are common reactor types in chemical industries. In case of reactions with large heat effects, bundles slender tubes used. For such tubes, the column-to-particle diameter ratio, N, is small, which can give rise to significant flow channelling. This research uses two particle-scale numerical approaches, namely particle-resolved computational fluid dynamics (PR-CFD) and pore n...

A deep understanding of two-phase displacement in porous media with permeability contrast is essential for the design and optimisation enhanced oil recovery processes. In this paper, we investigate forced imbibition behaviour two dual-permeability geometries that are equal contrast. First, a mathematical model developed pore doublet, which shows dynamics can be fully described by viscosity rati...

in this paper, a recurrent fuzzy-neural network (rfnn) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...