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Robust additive manufacturable Ni superalloys designed by the integrated optimization of local elemental segregation and cracking susceptibility criteria
Robust additive manufacturable Ni superalloys designed by the integrated optimization of local elemental segregation and cracking susceptibility criteria
Enhancing the durability of Pt nanoparticles for water electrolysis using ultrathin SiO2 layers
Enhancing the durability of Pt nanoparticles for water electrolysis using ultrathin SiO2 layers
Hierarchical online energy management for residential microgrids with Hybrid hydrogen–electricity Storage System
Hierarchical online energy management for residential microgrids with Hybrid hydrogen–electricity Storage System
Effects of particle size distribution and blast velocity on furnace raceway transport behaviors and dynamic characteristics using DEM-CFD
Effects of particle size distribution and blast velocity on furnace raceway transport behaviors and dynamic characteristics using DEM-CFD
Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy
Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy
Real-time pipeline leak detection and localization using an attention-based LSTM approach
Real-time pipeline leak detection and localization using an attention-based LSTM approach
Unravelling the Effect of Activators used in The Synthesis of Biomass-Derived Carbon Electrocatalysts on the Electrocatalytic Performance for CO<sub>2</sub> Reduction
Unravelling the Effect of Activators used in The Synthesis of Biomass-Derived Carbon Electrocatalysts on the Electrocatalytic Performance for CO2 Reduction
Evolution of residents' cooperative behavior in neighborhood renewal
Evolution of residents' cooperative behavior in neighborhood renewal: An agent-based computational approach
Tuning the Properties of N-Doped Biochar for Selective CO<sub>2</sub> Electroreduction to CO
Tuning the Properties of N-Doped Biochar for Selective CO2 Electroreduction to CO
Predicting aircraft trajectory uncertainties for terminal airspace design evaluation
Predicting aircraft trajectory uncertainties for terminal airspace design evaluation
Dynamic Growth of Macroscopically Structured Supramolecular Hydrogels through Orchestrated Reaction-Diffusion
Dynamic Growth of Macroscopically Structured Supramolecular Hydrogels through Orchestrated Reaction-Diffusion
Effect of natural carbonation on chloride binding behaviours in OPC paste investigated by a thermodynamic model
Effect of natural carbonation on chloride binding behaviours in OPC paste investigated by a thermodynamic model
Resilience assessment of asphalt pavement rutting under climate change
Resilience assessment of asphalt pavement rutting under climate change
Nanostructuring Pt-Pd Bimetallic Electrocatalysts for CO<sub>2</sub> Reduction Using Atmospheric Pressure Atomic Layer Deposition
Nanostructuring Pt-Pd Bimetallic Electrocatalysts for CO2 Reduction Using Atmospheric Pressure Atomic Layer Deposition
Graph Encryption for Shortest Path Queries with k Unsorted Nodes
Graph Encryption for Shortest Path Queries with k Unsorted Nodes
Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data
Random forest incorporating ab-initio calculations for corrosion rate prediction with small sample Al alloys data
Reactive Transport Modelling of Chloride Ingress in Saturated Coral Aggregate Concrete
Reactive Transport Modelling of Chloride Ingress in Saturated Coral Aggregate Concrete
Development and Piezoelectric Properties of a Stack Units-Based Piezoelectric Device for Roadway Application
Development and Piezoelectric Properties of a Stack Units-Based Piezoelectric Device for Roadway Application
A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV
A-DDPG: Attention Mechanism-based Deep Reinforcement Learning for NFV
Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning
Towards understanding and prediction of atmospheric corrosion of an Fe/Cu corrosion sensor via machine learning
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