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RESEARCH PAPER · Acta Materialia · 2022

Alloying effects and effective alloy design of high-Cr CoNi-based superalloys via a high-throughput experiments and machine learning framework

Xiaoli Zhuang, Stoichko Antonov, Wendao Li, Song Lu, Longfei Li, Qiang Charles Feng

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Alloying effects and effective alloy design of high-Cr CoNi-based superalloys via a high-throughput experiments and machine learning frameworkOriginalRETRACTED: Exploring the Microstructural and Mechanical Properties of Next-Generation Super Alloys0γ′-Strengthened Multicomponent CoNi-Based Wrought Superalloys With Improved Comprehensive Properties10Microplastic deformation activating residual stress relief for Al alloy18Composition optimization of cobalt-free Fe-Cr-Ni-Al/Ti multi-principal element alloys for strength-ductility trade-off based on machine learning8Machine learning guided hydrothermal synthesis of thermochromic VO2 nanoparticles39Exploring the impact of configurational entropy on the design and development of CoNi-based superalloys for sustainable applications13Multi-scale Calculation-Aided Composition Optimization Design of Low-Density and High-Strength Nickel-Based Superalloy6Data-driven machine learning for alloy research: Recent applications and prospects21Current application status of multi-scale simulation and machine learning in research on high-entropy alloys82Thermodynamic calculation and machine learning aided composition design of new nickel-based superalloys38Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations32TaFeSb-Based Half-Heusler Thermoelectrics with High zT > 1 through the Alloying Effect16Predicting atomic structure and mechanical properties in quinary L12-Strengthened cobalt-based superalloys using machine learning-driven first-principles calculations6A Prediction Method for Local Creep Strain of Directionally Solidified Superalloys and Turbine Blades0Advanced crystallography measurements by dIrectional reflectance microscopy0Influence of Re on High-Temperature Microstructural Stability and Mechanical Properties of High-Cr CoNi-Based Superalloys1Microstructure and Mechanical Properties of a Novel γ′-Strengthened Multi-Component CoNi-Based Wrought Superalloy1Machine learning-assisted composition design of W-free Co-based superalloys with high γ′-solvus temperature and low density25Microstructure and mechanical properties of a new Ni–Co based superalloy at intermediate temperatures10Machine learning-based identification method of new strengthening element and the study on Al-Zn-Mg-Cu-Zr-Hf alloy4Creep performance in a CoNi-based single crystal superalloy with super-high γ′ volume fraction at 760 °C and equivalent high stress13Alloys innovation through machine learning: a statistical literature review14Exploring mechanical properties and diffusion paths in Al–Co–Ni diffusion multiples fabricated through spark plasma sintering2High-throughput pseudo-binary diffusion couple approach for alloy design in cobalt-based superalloys8Influences of oxidation and hot corrosion on the tribological properties of CoCrNiWMo alloy and the preliminary exploration of the interaction between hot corrosion and wear4A novel high-Cr CoNi-based superalloy with superior high-temperature microstructural stability, oxidation resistance and mechanical properties22A novel alloy design approach in developing CoNi-based high entropy superalloy using high entropy alloys thermodynamic and spark plasma sintering8Accelerating the Exploration of High‐Entropy Alloys: Synergistic Effects of Integrating Computational Simulation and Experiments40Transfer learning enables the rapid design of single crystal superalloys with superior creep resistances at ultrahigh temperature27Prediction of optical properties of oxide glass combined with autoencoder and machine learning17Preparation of a novel laser cladding Ni-based alloy with promising applications in high-temperature conditions: Genetic design, multi-phase evolution, and synergy mechanism9Data‐Driven Materials Research and Development for Functional Coatings120Overview of powder forming research on Nb-Si-based ultra-high temperature alloys4Recent machine learning-driven investigations into high entropy alloys: A comprehensive review37Developing novel low-density high-entropy superalloys with high strength and superior creep resistance guided by automated machine learning43Identifying determinants of γ’ phase coarsening behavior in Co/CoNi-based superalloys with explainable artificial intelligence (XAI)4High-throughput investigation of the alloying effects of W, Ti, and Ta on the microstructural stability and mechanical properties of CoNi-base superalloys7A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons13Elemental numerical descriptions to enhance classification and regression model performance for high-entropy alloys11Revealing the Ta effect on γ' phase coarsening behavior and mechanical properties in CoNi-based superalloys13High-temperature tribological properties of APS-sprayed CoCrNiW wear-resistant coating and NiCoCrAlYTa/Cu/Mo self-lubricating coating28Unique double steady state creep rate and deformation mechanism of a CoNi-based superalloy3A multi-component diffusion multiple approach based synergistic regulation of γ' phase stability and mechanical properties in CoTiVNi-based superalloys3Accelerated discovery and testing of Fe–Co–Cr–Ni–Mo ferrous medium-entropy alloys: advanced in-situ alloying via direct energy deposition5Prediction of oxide glass refractive index using a novel deep learning architecture, DualNet (U-Net and ANN) with hybrid loss function2Application of a multivariate feature-driven ACO-BPNN integrated model in predicting ultimate tensile strength and composition optimization of Ni-based alloys7Accelerated design and property validation of L12-strengthened Co-Ni-Cr-Al-Cu-Ti high-entropy superalloys based on unsupervised and supervised learning4Compositional gradient-driven design of additively manufactured nickel-based superalloys for enhanced 900 °C strength-ductility synergy via Ti/Al optimization5Review: Recent progress in titanium alloys development via machine learning and high-throughput preparation4Multi-property materials discovery from additively manufactured compositionally graded Fe-Ni-Si alloys4Composition design for laser powder bed fusion (LPBF) fabricated Ni-based superalloys: A review12Explainable machine learning-enabled dual-objective design of γ' phase characteristic parameters in γ'-strengthened Co-based superalloys11Temperature-dependent creep behavior and deformation mechanisms of a CoNi-based superalloy2Artificial intelligence in the development of structural and functional materials: A transformative frontier and complementary enabler of the rational alloy design framework10Rapid Discovery of High-Performance Additive Manufacturing Superalloys Using High-Throughput and Artificial Intelligence Methods0Thermodynamics‐Driven Phase‐Field Kinetics Simulation for Experiment‐Validated Design of CoNi‐Based Superalloys2Transient micro-liquid phase HIP sintering of powder metallurgy superalloys achieved by a binary composition-splitting strategy0Alloy design of γʹ-strengthened CoNi-based superalloys with low crack susceptibilitysuitable for additive manufacturing0Alloy design of γʹ-strengthened CoNi-based superalloys with low crack susceptibilitysuitable for additive manufacturing0Dislocation coupled plasticity phase-field simulation: effects of Ti/Nb on γʹ phase evolution and creep behavior of Co-Al-Ti(-Nb) superalloys0Temperature-dependent γ′ kinetic evolution and elemental partitioning in a novel CoNi-based superalloy: an integrated CALPHAD, phase-field, and experimental study2Unveiling γ′ phase creep damage in multi-component Ni-based superalloys by crystal plasticity phase-field simulation4Improvement of Mechanical Properties in a CoNi-Based Superalloy Fabricated by Selective Laser Melting Through Optimized Heat Treatment0Compositional design of Ni-based superalloys for additive manufacturing: Progress and perspectives9Machine learning-driven new paradigm for Co-based superalloys3Accelerated Optimization of Superalloys by Integrating Thermodynamic Calculation Data with Machine Learning Models: A Reference Alloy Approach0Effect of Co/Ni ratio on precipitation phase evolution and element distribution behavior in as-cast Co-Ni-based superalloy2Machine learning-accelerated reverse design of a novel fine grain nickel-based superalloy with high γ′ volume fraction0Quantitative phase-field simulation of precipitation kinetics of γ′ phase in multicomponent Co-based superalloys1Effect of Cr content on the oxidation behavior of alloys Co-Al-Cr and Co-Ni-Al-Cr at 900°C studied by gradient additive manufacturing2High pressure die casting of aluminum alloys: A fluidity-centric review1High-throughput measurement and evaluation of diffusion behaviors in Fcc Ni–Al–Si alloys1Integrated design of hardness and weldability for multi-component Fe-based hardfacing alloys driven by machine learning and high-throughput computation0Alloy design of γ′-strengthened Co-Ni-base superalloys with low crack susceptibility suitable for additive manufacturing0Low-cycle fatigue behavior of a high-Cr CoNi-based single-crystal superalloy at intermediate temperature0Unveiling corrosion behavior and multiscale tribocorrosion mechanism of W-alloyed FeCoNiCrAl high-entropy alloy coatings: insights from experiments and DFT calculations0Designing heterogeneous microstructure in PM nickel superalloys via dual-alloy powder blending: A combined experimental and computational study0Intelligent visualization-driven materials design via two-dimensional symbolic feature generation0Impact of Co/Ni Ratio on Solidification Characteristics and As-Cast Microstructure of Co-Al-W-Based Superalloys0An oxidation-microstructure-mediated model for predicting thin-walled creep behavior in Ni-based single-crystal superalloys0Machine learning design of printable high-strength, high Al+Ti nickel-based superalloy0Rapid Mo optimization in additively manufactured Ni-based superalloy via integrated thermodynamic screening and laser deposition gradients0Machine learning for high-performance alloy design: A review0

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