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RESEARCH PAPER · Acta Materialia · 2020

Accelerated design of novel W-free high-strength Co-base superalloys with extremely wide γ/γʹ region by machine learning and CALPHAD methods

Jingjing Ruan, Weiwei Xu, Tao Yang, Jinxin Yu, Shuiyuan Yang, Junhua Luan, Toshihiro Omori, Cuiping Wang, Ryosuke Kainuma, Kiyohito Ishida, C.T. Liu, Xingjun Liu

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Accelerated design of novel W-free high-strength Co-base superalloys with extremely wide γ/γʹ region by machine learning and CALPHAD methodsOriginalThe Effect of Alloying on the Thermophysical and Mechanical Properties of Co–Ti–Cr-Based Superalloys2Coarsening behavior of γʹ precipitates and compression deformation mechanism of a novel Co–V–Ta–Ti superalloy13Phase-field simulation of γ' precipitates rafting and creep property of Co-base superalloys33Tailoring the creep properties of second-generation Ni-based single crystal superalloys by composition optimization of Mo, W and Ti41Machine learning-assisted discovery of strong and conductive Cu alloys: Data mining from discarded experiments and physical features86Boosting for concept design of casting aluminum alloys driven by combining computational thermodynamics and machine learning techniques32Machine learning-guided design and development of metallic structural materials27Increasing γ’ volume fraction in Co–Nb–V- and Co–Ta–V-based superalloys15Learning interpretable descriptors for the fatigue strength of steels10A novel L12-strengthened multicomponent Co-rich high-entropy alloy with both high γ′-solvus temperature and superior high-temperature strength123Machine learning for design, phase transformation and mechanical properties of alloys121Low-Density, High-Temperature Co Base Superalloys40Effects of Transition Elements on the Structural, Elastic Properties and Relative Phase Stability of L12 γ′-Co3Nb from First-Principles Calculations5Accelerating the discovery of novel γ/γ' Co-based superalloys by probing temperature and alloying effects on the γ' precipitates16Computational design of thermally stable and precipitation-hardened Al-Co-Cr-Fe-Ni-Ti high entropy alloys57Effects of V addition on the mechanical properties at elevated temperatures in a γ''-strengthened NiCoCr-based multi-component alloy18Increase in Oxidation Resistance of MAR M-509 via LA-CVD Aluminizing5Machine‐Learning Microstructure for Inverse Material Design117Isothermal oxidation behavior of W‐free Co–Ni–Al‐based superalloy at high temperature14Effects of alloying additions on the microstructure, lattice misfit, and solvus temperature of a novel Co–Ni-based superalloy24Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning73Design of cuboidal γ/γ′ coherent microstructure and its stability in low-density Co-Ni-Al-Mo-Cr-Ti/ Nb/Ta superalloys0Machine learning-accelerated first-principles predictions of the stability and mechanical properties of L12-strengthened cobalt-based superalloys21Overview of the Development of L12 γ′-Strengthened Cobalt-Base Superalloys4Predicting the property contour-map and optimum composition of Cu-Co-Si alloys via machine learning20Automated pipeline for superalloy data by text mining83Exploring the correlation between microscopic mechanisms and macroscopic behaviour in creep of a directionally solidified tungsten-free γ/γ′ CoNi-base superalloy18Compositionally complex coherent precipitation‐strengthened high‐entropy alloys: a critical review45Accelerated Design of High γ′ Solvus Temperature and Yield Strength Cobalt-Based Superalloy Based on Machine Learning and Phase Diagram5Theoretical Investigation of Effects of Transition Elements on Phase Stabilities and Elastic Properties of the γ′ Phase in Co–V–Ta Superalloys2An intelligent design for Ni-based superalloy based on machine learning and multi-objective optimization54L12-strengthened heterostructure high-entropy alloys with ultra-high strength over a wide temperature range50Yield strength anomaly evaluation of W-free Co-Ni-Al-based superalloys during high temperature tensile tests28CALPHAD informed design of multicomponent CoNiCr-based superalloys exhibiting large lattice misfit and high yield stress15Accelerating design of novel Cobalt‐based superalloys based on first-principles calculations18High-Temperature CoNi-Based Superalloys Strengthened by γ′-(Ni,Co)3(Cr,Al,Ti,X): The Effect of Refractory Elements26Machine learning accelerates the materials discovery142Alloying effects and effective alloy design of high-Cr CoNi-based superalloys via a high-throughput experiments and machine learning framework83Numerical Design of CoNi-Base Superalloys With Improved Casting Structure4Development of a Diffusion Mobility Database for Co-Based Superalloys6Rapid accomplishment of strength/ductility synergy for additively manufactured Ti-6Al-4V facilitated by machine learning34Data‐Driven “Cross‐Component” Design and Optimization of γ′‐Strengthened Co‐Based Superalloys12Design and high-strength origin of novel (CoFeNi)80Ti5V15 medium entropy alloy with “fcc + L12” structure49Creep strengthening mechanisms of a superlattice γ′-strengthened Co–Al–W–Ta–Ti single crystal superalloy at steady-state conditions under compressive stresses6Etude de l'élaboration par fabrication additive d'alliages à base de cobalt à durcissement structural0Synergistic enhancement of high temperature strength and ductility with a novel γ/ε dual-phase hetero-nanostructure in NiCoCr-based alloys9A study on the phase diagram of Re-Zr refractory system4An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD27A L12 precipitation strengthened Co-free medium-entropy alloy with superior high-temperature performance13Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations32Thermodynamic and kinetic assessments in Co–Cr–Mn system using diffusion data4Composition, heat treatment, microstructure and loading condition based machine learning prediction of creep life of superalloys26Alloy synthesis and processing by semi-supervised text mining28Ultrahigh intermediate-temperature strength and good tensile plasticity in chemically complex intermetallic alloys via lamellar architectures66Integration of CALPHAD calculations and nanoindentation test for the design of low-modulus near-β titanium13Predicting atomic structure and mechanical properties in quinary L12-Strengthened cobalt-based superalloys using machine learning-driven first-principles calculations6Phase equilibria, thermodynamic assessment, and the mechanical property of B2 phase of the Al-Ga-Ni ternary system1Achieving exceptional strength-ductility combination in a novel L12 nanoparticles-strengthened high-entropy alloy via conventional casting28Perspective: Bridging ML and CALPHAD for Multicomponent Alloy Design — A Position on Hybrid Workflows0Effect of Ti/Nb/Ta addition on the γ/γ' coherent microstructure in low-density and high-strength Co-Al-W-Mo-based superalloys36Development of a low-density Co-Ni-Al-Ta-Cr superalloy with high mechanical performance and superior oxidation resistance19Machine learning-assisted composition design of W-free Co-based superalloys with high γ′-solvus temperature and low density25Exploring the evolution of microstructure and mechanical property of a γʹ-strengthened Co-based single crystal superalloy during creep and thermal exposure at 1000 °C15A novel low-density and high-strength Fe-Ni-base high-entropy superalloy with stable γ/γ' coherent microstructure at 1023 K34Research on stamping formability and process simulation of AZ31 magnesium alloy based on deep learning10Machine-Learning-Assisted Composition Design for High-Yield-Strength TWIP Steel11Evaluation of critical temperatures of as-cast Co-based superalloys as a function of alloying elements and their effect on microstructure3A Review on the Application of Superalloys Composition, Microstructure, Processing, and Performance via Machine Learning18Facilitated the discovery of new γ/γ′ Co-based superalloys by combining first-principles and machine learning16V-stabilized γ′′ phase: a new pathway to enhanced intermediate-temperature ductility in NiCoCr-based multi-component alloys1Developing novel low-density high-entropy superalloys with high strength and superior creep resistance guided by automated machine learning43Al-Co-Cr-Fe-Ni-Ti high entropy alloys: A review of microstructural and mechanical properties at elevated temperatures48Alloying Effects on Phase Stability and Mechanical Properties of Co-Fe-Ni High-Entropy Γ-Γ′ Superalloys0Achieving Excellent High‐Temperature Oxidation Resistance in a Novel L12‐Reinforced Co‐Rich Medium‐Entropy Alloy0A Review of Artificial Intelligence‐Driven Innovations in Soft Magnetic Materials Optimization: Current Trends and Future Horizons13A multi-component diffusion multiple approach based synergistic regulation of γ' phase stability and mechanical properties in CoTiVNi-based superalloys3Design of Ni-based single crystal superalloys by machine learning based on data-driven multi-task optimization4Coherent intergranular precipitates overcome intermediate-temperature embrittlement of a L12-strengthened medium-entropy alloy9Enhanced extrapolative machine learning for designing high‐performance multi‐principal‐element superalloys9Enhancing mechanical properties of γ/γ′ Co-Ni-Al-Nb-based superalloys through tailored adjustments2Accelerated design and property validation of L12-strengthened Co-Ni-Cr-Al-Cu-Ti high-entropy superalloys based on unsupervised and supervised learning4Alloying effects on phase stability and mechanical properties of Co-Fe-Ni high-entropy γ-γ' Superalloys6Review on Rapid Alloying Design and Mechanical Properties Prediction of Ni-Based Superalloys Based on Machine Learning7Machine learning approaches for creep rupture life prediction of metallic materials: A comprehensive review11CALPHAD-guided design and experimental optimization of NiCo-based superalloys with enhanced γ′ phase stability and mechanical performance3Networked γ′ in additively manufactured cobalt-based superalloy through dislocation cell-templated precipitation2Enhanced mechanical performance of a heterostructure Co-20.7Ni-17.87Cr-3.12Al-2.94Ti-0.68Nb high-entropy alloy by thermo-mechanical processing0Intrinsic properties and mechanical behaviors of a W-free single crystal CoNiCr-based multicomponent alloy1Alloy design integrating natural language processing and machine learning: breakthrough development of low-cost, high-performance Ni-based single-crystal superalloys7Overcoming the intermediate-temperature embrittlement of high-strength Ni-Co-base wrought superalloy via C addition6Transient micro-liquid phase HIP sintering of powder metallurgy superalloys achieved by a binary composition-splitting strategy0Dislocation coupled plasticity phase-field simulation: effects of Ti/Nb on γʹ phase evolution and creep behavior of Co-Al-Ti(-Nb) superalloys0Distinctive yield behavior of low-density Co-Ni-Al-V-Ti-Ta superalloy designed by CALPHAD3Machine learning-driven new paradigm for Co-based superalloys3Beyond phase stability: Core mechanism of intermediate-temperature strength reduction in high-stability γ"-strengthened multi-component alloys0Microstructural screening of intermetallic alloys via an additively manufactured L12-Ni3(Al,Ti)/L12-Co3(Al,W) diffusion couple1Diffusivities and atomic mobilities in the fcc phase of Co–Ti–Fe system0Machine learning for high-performance alloy design: A review0

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  12. Low-Density, High-Temperature Co Base Superalloys

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  19. Isothermal oxidation behavior of W‐free Co–Ni–Al‐based superalloy at high temperature

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  48. An explainable machine learning model for superalloys creep life prediction coupling with physical metallurgy models and CALPHAD

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  49. A L12 precipitation strengthened Co-free medium-entropy alloy with superior high-temperature performance

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  50. Data science and material informatics in physical metallurgy and material science: An overview of milestones and limitations

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