Ling Qiao

发表

Mechanical Performance‐Based Optimum Design of High Carbon Pearlitic Steel by Particle Swarm Optimization

Ling Qiao, Zibo Wang, Yuan Wang, 2020, steel research international.

A promising new class of multi-component alloys with exceptional mechanical properties

Aorigele, Ling Qiao, Jingchuan Zhu, 2020 .

Constitutive modeling of hot deformation behaviour of AlCrFeNi multi-component alloy

Ling Qiao, Jingchuan Zhu, 2022, Vacuum.

Thermophysical properties and high temperature oxidation behavior of FeCrNiAl0.5 multi-component alloys

Ling Qiao, Jingchuan Zhu, Z. Lai, 2020 .

Mechanical Performance and Microstructure Prediction of Hypereutectoid Rail Steels Based on BP Neural Networks

Yong Deng, Ling Qiao, Jingchuan Zhu, 2020, IEEE Access.

A Comparative Study on Arrhenius Equations and BP Neural Network Models to Predict Hot Deformation Behaviors of a Hypereutectoid Steel

Yong Deng, Yuan Wang, Ling Qiao, 2020, IEEE Access.

Dynamic solidification model of low-density FeCrNiAl multi-component alloy

Ling Qiao, Yuan Wang, Jingchuan Zhu, 2020 .

Uncovering wear mechanism of a Fe2Ni2CrAl multi-principal elements alloy

R. Ramanujan, Ling Qiao, Jingchuan Zhu, 2023, Journal of Materials Science.

A Finite Element Analysis for Improvement of Shaping Process of Complex-Shaped Large-Size Silicon Carbide Mirrors

Ling Qiao, Jingchuan Zhu, Congcong Cui, 2021, Materials.

A focused review on machine learning aided high-throughput methods in high entropy alloy

Ling Qiao, Jingchuan Zhu, Yong Liu, 2021 .

Application of improved GRNN model to predict interlamellar spacing and mechanical properties of hypereutectoid steel

Ling Qiao, Zibo Wang, Jingchuan Zhu, 2020 .

Modeling of Alloying Effect on Isothermal Transformation: A Case Study for Pearlitic Steel

Ling Qiao, Jingchuan Zhu, Yuan-Hua Wang, 2021, Advanced Engineering Materials.

Machine-learning approach to predict work hardening behavior of pearlitic steel

Ling Qiao, Zibo Wang, Jingchuan Zhu, 2021 .

Application of generalized regression neural network optimized by fruit fly optimization algorithm for fracture toughness in a pearlitic steel

Yong Liu, Ling Qiao, Jingchuan Zhu, 2020 .

Modelling and prediction of hardness in multi-component alloys: A combined machine learning, first principles and experimental study

Yong Liu, Ling Qiao, Zhonghong Lai, 2021 .

Optimized Hot Working Parameters of Fe2.5Ni2.5CrAl Multi-Principal Element Alloys

R. Ramanujan, Ling Qiao, Jingchuan Zhu, 2022, Journal of Alloys and Compounds.

Machine Learning‐Aided Process Design: Modeling and Prediction of Transformation Temperature for Pearlitic Steel

Ling Qiao, Yuan Wang, Jingchuan Zhu, 2021, steel research international.

Phase Prediction of High Carbon Pearlitic Steel: An Improved Model Combining Mind Evolutionary Algorithm and Neural Networks

Ling Qiao, Jingchuan Zhu, Yong Liu, 2021, Advanced Engineering Materials.

Tensile deformation behavior and strengthening mechanism of a Fe2.5

R. Ramanujan, Ling Qiao, Jingchuan Zhu, 2023, Materials & Design.

Alloy design and properties optimization of multi-component alloy based on solidification characteristics

Ling Qiao, Jingchuan Zhu, Z. Lai, 2020 .

Unveiling the compressive behavior of Fe2Ni2CrAl high entropy alloy: A combined molecular dynamics and finite element study

Ling Qiao, Jingchuan Zhu, 2023, Materials Today Communications.

Machine learning accelerated design of a family of AlxCrFeNi medium entropy alloys with superior high temperature mechanical and oxidation properties

R. Ramanujan, Ling Qiao, Jingchuan Zhu, 2022, Corrosion Science.

Microstructure, mechanical property and wear behavior of AlCrFe1.5Ni1.5 medium entropy alloy

Ling Qiao, Jingchuan Zhu, 2022, Journal of Materials Science.

Machine Learning‐Guided Design of Pearlitic Steel with Promising Mechanical and Tribological Properties

Ling Qiao, Jingchuan Zhu, 2021, Advanced Engineering Materials.

Modelling and prediction of thermal deformation behaviors in a pearlitic steel

Ling Qiao, Jingchuan Zhu, Yong Deng, 2020 .

Effect of Aluminum on the Friction and Wear Behavior of AlxCrFeNi Medium‐Entropy Alloys

R. Ramanujan, Ling Qiao, Jingchuan Zhu, 2022, Advanced Engineering Materials.

Finite element-based machine learning approach for optimization of process parameters to produce silicon carbide ceramic complex parts

Ling Qiao, Congcong Cui, Ge Zhang, 2022, Ceramics International.

Coupling physics in machine learning to predict interlamellar spacing and mechanical properties of high carbon pearlitic steel

Ling Qiao, Yuan Wang, Jingchuan Zhu, 2021 .

Machine learning guided constitutive model and processing map for Fe2Ni2CrAl1.2 multi-principle element alloys

Ling Qiao, Jingchuan Zhu, Junya Inoue, 2024, Journal of Materials Research and Technology.