Finding Contents or People

Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
Innovative coupled fluid-structure interaction model for carbon nano-tubes conveying fluid by considering the size effects of nano-flow and nano-structure
Multivariate regression analysis of lithogeochemical data to model subsurface mineralization a case study from the Sari Gunay epithermal gold deposit NW Iran
Multivariate regression analysis of lithogeochemical data to model subsurface mineralization a case study from the Sari Gunay epithermal gold deposit NW Iran
A mononuclear Zinc(II) complex with piroxicam crystal structure DNA- and BSA-binding studies in vitro cell cytotoxicity and molecular modeling of oxicam complexes
A mononuclear Zinc(II) complex with piroxicam crystal structure DNA- and BSA-binding studies in vitro cell cytotoxicity and molecular modeling of oxicam complexes
RUNOFF MODELING IN ORDER TO INVESTIGATE THE MOST EFFECTIVE FACTORS IN FLOOD EVENTS USING SYSTEM DYNAMIC APPROACH (CASE STUDY TEHRAN WATERSHED IRAN)
Transport properties of a high porosity model food at above and sub-freezing temperature. Part 2) Evaluation of the effective moisture diffusivity from drying data
Analytical modeling and experimental investigation on optical properties of new class of nanofluids (Al2O3 CuO binary nanofluids) for direct absorption solar thermal energy
An AHP TOPSIS Predictive Model for District-Scale Mapping of Porphyry Cu Au Potential A Case Study from Salafchegan Area (Central Iran)
Stochastic Petri Net Modeling of Hypoxia Pathway Predicts a Novel Incoherent Feed-Forward Loop Controlling SDF-1 Expression in Acute Kidney Injury
Fabrication of Au-doped mesoporous TiO2 supported on g-C3N4 as an efficient light-assisted catalyst for oxidative desulfurization of model fuels with different sulfur content
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Comparative classification of spectrally overlapping Allium seed genotypes using Vis-NIR spectroscopy and hyperspectral imaging with chemometric, machine, and deep learning models
Predicting hydrogen production in porous foams for steam methane reforming: A combined approach using computational fluid dynamics and machine learning regression models