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Ni-Co-Se nanoparticles modified reduced graphene oxide nanoflakes an advance electrocatalyst for highly efficient hydrogen evolution reaction.
Preparation and evaluation of Copper particles on reduced graphene oxide as an efficient electrocatalyst for enhancing electrochemical performance of the Lithium-Thionyl Chloride Batteries
Fabrication of a novel porous nanostructure based on NiCuFe2O4@MCM-48, embedded with graphene oxide/poly (p-phenylenediamine) to construct an efficient supercapacitor
Essential oils, chemical constituents, antioxidant, antibacterial and in vitro cytotoxic activity of different Thymus species and Zataria multiflora collected from Iran
Essential oils, chemical constituents, antioxidant, antibacterial and in vitro cytotoxic activity of different Thymus species and Zataria multiflora collected from Iran
Electro-conductive nanofibrous structure based on PGS/ PCL coated with PPy by in situ chemical polymerization applicable as cardiac patch: Fabrication and optimization
Electro-conductive nanofibrous structure based on PGS/ PCL coated with PPy by in situ chemical polymerization applicable as cardiac patch: Fabrication and optimization
Chemical composition amino acid profile and metabolizable energy value of pasta refusals and its application in broiler diets in response to feed enzyme
Green manure and overlapped rhizosphere effects on Pb chemical forms in soil and plant uptake in maize/canola intercrop systems A rhizobox study
Green manure and overlapped rhizosphere effects on Pb chemical forms in soil and plant uptake in maize/canola intercrop systems A rhizobox study
Nicotine-derived ammonium salts as highly efficient catalysts for chemical fixation of carbon dioxide into cyclic carbonates under solvent-free conditions
Chemical adsorption of D-sucrose on MWCNTs for compatibility improvement with alanine-based poly (amide-imide) matrix morphology examination and thermal stability study
Reconstruction of Missing Climatic Data Using Combination of Multiple Imputation by Chained Equations (MICE) and Boosting-Based Machine Learning Approaches in the Urmia Lake Basin
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