ScholarWorks@Gyeongsang National University: Reddy, N. Subba

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Reddy, N. Subba (수바레디)

공과대학 (신소재공학부)

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Tel 0557721669
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Artificial neural networks:21||Sensitivity analysis:12||artificial neural networks:8||Artificial neural network:7||artificial neural network:6||Quantitative estimation:6||Index of relative importance:6||Prediction:5||Mechanical properties:5||Response surface methodology:5||Microstructure:5||Neural networks:5||Ti6Al4V alloy:4||Additive manufacturing:4||Direct energy deposition:4||Surface roughness:4||WEDM:4||ANN:4||mechanical properties:4||sensitivity analysis:4||artificial neural network (ANN):3||neural network:3||machine learning:3||Machine learning:3||Adsorption:3||Titanium alloys:3||Review:3||Sulfur:3||Artificial Neural Networks:3||Ti6Al4V:3||Quantitative:2||experimental:2||Genetic algorithm:2||Weight distribution:2||Lithiumsulfur batteries:2||Reduced graphene oxide:2||gradient boosting:2||Inconel 718:2||Lubrication:2||Support vector machine:2||higher heating value:2||index of relative importance:2||Sustainability:2||Risktaking:2||Seawater corrosion rate:2||Graphene Oxide:2||Innovativeness:2||3C steels:2||Anode:2||classification:2||Artificial neural networks (ANN):2||composition:2||prediction:2||Density:2||Process parameters:2||Electrochemical properties:2||proximate analysis:2||Processing map:2||quantitative estimation:2||Electron beam melting:2||roughness:2||Sodiumsulfur batteries:2||Hydrothermal:2||Hydrothermal Synthesis:2||Hydrothermal method:2||MoS2:2||Virtual seawater environment:2||stress:2||Wastewater:2||temperature:2||Deep neural networks:1||Defence:1||Deposition:1||Design of Experiments:1||Desired properties:1||Diffusion:1||Drilling:1||Dry machining:1||Dynamic recrystallization:1||EMS process:1||Egg white:1||Electro spark:1||Electrocatalysts:1||Electrolyte:1||Electrospinning:1||Electrostatic spray deposition:1||Energy absorption prediction:1||Energy conversion:1||Energy storage:1||Energy transfer:1||Entrepreneurial Marketing:1||Entrepreneurial marketing:1||Environmental sustainability:1||Equiaxed alpha:1||Ethylenediamine:1||Eutectoid titanium alloy:1||FEM simulation:1||Fast charge kinetics:1||Fe(II) and Mn(II) removals:1||FeCMnSiCrNiMo steels:1||FeCrMnCN steels:1||Fiber diameter:1||Finite element simulation:1||Fluoroethylene carbonate additive:1||Forward osmosis:1||Fracture toughness:1||FreeStanding:1||Friction:1||Fuel cell catalyst:1||GBF process:1||Genetic algorithms:1||Grain refinement:1||Grain refining:1||Graphene oxide nanocomposite:1||Graphical user interface:1||Graphite anode:1||Green sand mould:1||HER and OER:1||Hammer peening:1||Hardness:1||Harmful Algal Blooms:1||Heat treatment:1||Heavy metal removal:1||Heterostructured materials:1||Hierarchical:1||High Rate:1||High carbon steel:1||High entropy alloy:1||High strength and ductility:1||Highstrainrate testing:1||Hightemperature:1||Hightemperature titanium alloy:1||Hot compression test:1||Hot deformation behavior:1||Hot forging:1||Hybrid materials:1||Hydrogen production:1||Hydropower:1||Hyper parameter tuning:1||Incoloy 800H:1||Indentation and hardness:1||Index of the relative importance:1||Industrial implementation:1||Interactive effects:1||Interfaces:1||Interlayer:1||Isothermal oxidation:1||Job satisfaction:1||Langmuir isotherm:1||Lattice structures:1||Lead removal:1||Li deposition:1||Liion batteries:1||Liion battery:1||Lithium‑sulfur batteries:1||LithiumIon Batteries:1||LithiumSulfur Batteries:1||Lithiumion batteries:1||Low carbon steels:1||Ms temperature:1||MRR:1||Machinability:1||Machine learning in materials science:1||Marketing Innovation:1||Marketing innovation:1||Maximization of pxylene selectivity:1||Maximum adsorption capacity:1||Mechanical performance:1||Medium carbon steels:1||Membrane:1||Metallic alloys:1||Metallic lattice structures:1||Metals and alloys:1||Methyl oxidation reaction (MOR):1||Methylene blue:1||Micro/mesoporous carbon:1||Microstructural volume fraction:1||Modeling:1||Modelling:1||Ms temperature:1||Multiobjective optimization:1||Multiple linear regression:1||Mxene:1||Nanostructured steel:1||Neural Networks:1||Ni and Pt nanoparticles:1||Nickel Disulfide:1||Nickel catalyst:1||Nonlinear relationship:1||Opportunity:1||Optimization:1||Optimum adsorption conditions:1||Oxide dispersion strengthened alloy:1||Oxygen storage capacity (OSC):1||PDP:1||PMMA fiber diameter:1||PVC composite's properties:1||Particle size:1||Pb(II) removal:1||Performance of partner companies:1||Permeability:1||Permeate flux:1||Petroleum industries:1||Photoelectrocatalysis:1||Photoluminescence:1||Physicsinformed neural networks (PINN):1||Phytoplankton:1||Plasma:1||Poly(2Hydroxypropyl methacrylate):1||Poly(methacrylates):1||Polycaprolactone nanofibers:1||Polymerinorganic hybrid materials:1||Polysulfides:1||Polyvinyl alcohol:1||Polyvinylidene fluoride:1||Pore restriction:1||Powder:1||Powder bed fusion:1||Power coefficient:1||Precipitation:1||Prediction of tensile properties:1||Proactiveness:1||Proactiveness:1||Process modeling:1||Process window:1||Processing:1||Processing parameter:1||Processing scalability:1||Property prediction:1||Pseudosecond order kinetics:1||PtPd supported catalyst:1||Qualitative:1||Quantitative effect:1||RSM:1||Recrystallization:1||Reforming:1||Reusability:1||Reusability and storage stability:1||Reverse osmosis:1||Room temperature sodiumsulfur batteries:1||Saline water:1||Sandpaper:1||Sensitvity analysis:1||Severe plastic deformation:1||Shape memory alloys (SMAs):1||Silicate phosphors:1||Silicon anode:1||Sintering:1||Small angle neutron scattering:1||SnO2/rGO:1||Social Entrepreneurship:1||Social Orientation:1||Social entrepreneurship:1||Social orientation:1||Social performance:1||Sodium ion battery:1||SodiumIon Batteries:1||Sodiumion batteries:1||Solgel:1||Solgel method:1||Sonophotocatalytic:1||Sorption:1||Spark plasma sintering:1||Specific capacitance:1||Spectroscopy:1||Spheroidization:1||Split Hopkinson pressure bar (SHPB):1||Stacking fault energy:1||Steel:1||Stressstrain measurements:1||Succinimide:1||Supercapacitors:1||Surface treatment:1||Suture strength:1||Tb3+ ions:1||Technology readiness level:1||Temperature:1||Tensile properties:1||Tensile property:1||Tensile strength:1||Testing methods:1||Textile wastewater:1||Thermal conductivity:1||Thermomechanical:1||Thermomechanical processing:1||Ti19Al22Mo alloy:1||Ti6Al4V alloy fasteners:1||TiNiPd thin films:1||Ti3Al:1||TiN nanomaterials:1||Tin:1||Tin anode:1||Titanium Alloys:1||Titanium alloy:1||Titanium oxides:1||Tool wear:1||Transformation temperatures:1||Transformationinduced plasticity:1||Tribology:1||Tunable H2/CO ratio:1||Ultrafine lamella:1||Uncertainty quantification:1||Virtual alloys:1||Wastewater treatment:1||Wear:1||Wear and tribology:1||White LEDs:1||Wire and arc additive manufacturing:1||Wire arc additive manufacturing:1||Zirconium silicides:1||adsorption:1||alloy design:1||alloying element:1||alphaChymotrypsin immobilization:1||applications:1||atmospheric conditions:1||atmospheric corrosion:1||backpropagation:1||bainite start temperature:1||basicity:1||beta grain refinement:1||beta stabilized gammaTiAl:1||bifunctional electrocatalyst:1||bimetallic mixed oxide catalysts:1||biomass:1||biopolymers and renewable polymers:1||cVMSs removal efficiency:1||calorific value prediction:1||carbon bridge:1||carbon steel:1||carbonzeolite composites:1||cathode materials: batteries:1||chemical composition:1||coaching leadership:1||coatings:1||coil target temperature:1||corrosion behavior:1||corrosion of Zn:1||corrosion prediction:1||corrosion rate:1||creep rupture:1||creep rupture life:1||crystal structure:1||crystal system:1||datadriven modeling:1||defense applications:1||defluoridation:1||deformation mechanisms:1||density functional theory:1||direct energy deposition:1||electroFenton process:1||elongation:1||empirical equations:1||environmental degradation:1||exposure time:1||fibers:1||finish rolling temperature:1||framework stability:1||fuzzy AHP:1||fuzzy MCDM:1||grain refinement:1||grain refiners:1||graphical user interface:1||groundwater:1||hardness:1||heat treatment:1||highentropy alloys:1||hotrolled steel strip:1||index of relative importance (IRI):1||index of the relative importance:1||lattice structures:1||lithiation kinetics:1||lowcarbon steel:1||lowgrade carbon waste:1||mxylene reaction:1||machine learning algorithms:1||manufacturing:1||materials informatics:1||mechanical preperties:1||mechanical properties of Ti6Al4V alloy:1||mechanical property prediction:1||mediumcarbon steels:1||melt pool geometry:1||metallurgical insights:1||methanol electrooxidation reaction (MOR):1||mine wastewater:1||modeling:1||orthosilicate:1||oxythermal reforming:1||phase transformation:1||physicochemical properties:1||precipitates:1||predictive model:1||process variables:1||property prediction:1||property relationships:1||protective coatings:1||pyrolysis:1||quantitative effect:1||renewable fuels:1||service temperature:1||sigmoid activation function:1||simulation and modeling:1||speed:1||stability vs. time on stream:1||statistical analysis:1||steel heat treatment:1||structure&#8208:1||sulfur dioxide and chloride concentration:1||theory and modeling:1||time of wetness (TOW):1||trimetallic NiCoMgLDH catalyst:1||turnover intention:1||ultimate analysis:1||ultimate tensile strength:1||underbody protection:1||weight distribution:1||width:1||wood biomass:1||yield strength:1||zeolite modification:1||βTransus temperature:1||기업가적마케팅:1||비선형 관계:1||인공신경망(ANNs):1||(IRI):1||환경적지속가능성:1||25Cr20Ni0.4C steels:1||3D printing:1||5Cr0.5Mo steel:1||9Cr heatresistant steel:1||AA2024SiC nanocomposite:1||AISI 52100 steel:1||ANN model:1||Activation energy:1||Adsorption capacity:1||Advanced gammaTiAl alloy:1||Aerospace:1||Aging:1||Al7Si alloy:1||AlZnMgCu alloy:1||Al2Y4O9:1||AlSi10Mg:1||Alloy design:1||Alloying element:1||Aluminumbased composite:1||Angular:1||Annealing:1||Archimedes screw turbine:1||Arsenic removal:1||Artificial Neural Network:1||Artificial neural network (ANN):1||Artificial neural network model:1||Artificial neural networks (ANNs):1||Austenitic stainless steels:1||Autothermal reforming (ATR):1||Back propagated linear regression:1||Back propagation:1||Barium titanates:1||Beta titanium:1||Beta transus temperature:1||Biofilm reactor:1||Bulk density:1||Business Environmental Sustainability:1||CMn alloy steel:1||CType filler wire:1||CO2 adsorption:1||Carbon:1||Carbon cloth:1||Carbon dioxide utilization:1||Catalyst promotion:1||Catalyst sintering:1||Catalysts Selection:1||Cheeselike carbon:1||Chlorophenol removal:1||Chlorophylla:1||Cleaner machining:1||Coaching leadership:1||Coating thickness:1||Coldisostatic pressing:1||Columnar to equiaxed transition:1||Composites:1||Composition:1||Computer modelling:1||Cooling:1||Copper:1||Corporate reputation:1||CrMo steel:1||Creating shared value(CSV):1||Cross validation method:1||Crosslinking binder:1||Cryomilling:1||Cutting Force:1||Cycling performance:1||DMLS:1||Deactivation:1||

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