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GenCo's mid-term optimal operation analysis: interaction of wind farm, gas turbine, and energy storage systems in electricity and natural gas markets
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Adjustment of the scan track spacing and linear input energy to fabricate dense, pseudoelastic Nitinol shape memory alloy parts by selective laser melting
Design analysis and manufacture of a tension compression self-centering damper based on energy dissipation of pre-stretched superelastic shape memory alloy wires
DFT and ab initio potential energy scan and hydrogen bond analysis of Na-substituted hydrazino acetamides characterization of the hydrazinoturn hydrogen bonding pattern
Effects of supplemental phytase and xylanase on phytate phosphorus degradation ileal protein and energy digestibility of a corn-soybean-wheat bran diets in broiler chicks.
Preparation of New Optically Active Polyamides Containing a L-Phenylalanine Phthalimide Side-Chain via the Diisocyanate Route by Microwave Energy Comparison With Conventional Heating
Finite difference method for sixth-order derivatives of differential equations in buckling of nanoplates due to coupled surface energy and non-local elasticity theories
Comparison of fattening indicator of live weight dietary energy intake in Iranian fat-tailed sheep 1.lambs carcass charac-teristics of bakhtiari breed
Comparison of fattening indicator drived of live weight dietary energy intake in Iranian fat-tailed sheep 1-lambs carcass characteristics of bakhtiari breed
Process-Induced Microstructural Variations in Laser Powder Bed Fusion of Novel Titanium Alloys: A Comprehensive Study on Volumetric Energy Density and Alloying Effects
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies
A hybrid multi-agent deep actor-critic learning and particle swarm optimization algorithm for active voltage control in smart grids with renewable energies
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