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Rapid Discovery of High Hardness Multi Principal Element Alloys Using a Generative Adversarial Network Model
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Nanostructured High‐Entropy Alloys with Multiple Principal Elements: Novel Alloy Design Concepts and Outcomes
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Generative Adversarial Nets
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Cognitron: A self-organizing multilayered neural network
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Microstructure and Mechanical Properties of a Multiphase FeCrCuMnNi High-Entropy Alloy
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Prediction of the Composition and Hardness of High-Entropy Alloys by Machine Learning
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Data-Guided Feature Identification for Predicting Specific Heat of Multicomponent Alloys
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A critical review of high entropy alloys and related concepts
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Machine learning assisted design of high entropy alloys with desired property
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Machine-learning phase prediction of high-entropy alloys
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First-principles and machine learning predictions of elasticity in severely lattice-distorted high-entropy alloys with experimental validation
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The effect of chemical disorder on defect formation and migration in disordered max phases
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Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
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Searching for high entropy alloys: A machine learning approach
inferredcites →https://doi.org/10.1016/j.actamat.2021.117431openalex-snapshot
A machine learning-based alloy design system to facilitate the rational design of high entropy alloys with enhanced hardness
inferredcites →https://doi.org/10.1016/j.actamat.2021.117611openalex-snapshot
Vacancy Formation Energies and Migration Barriers in Multi-Principal Element Alloys
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High-Throughput Exploration of the WMoVTaNbAl Refractory Multi-Principal Element Alloys Under Multiple-Property Constraints
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Machine learning for phase selection in multi-principal element alloys
inferredcites →https://doi.org/10.1016/j.commatsci.2021.110381openalex-snapshot
Predictive descriptors in machine learning and data-enabled explorations of high-entropy alloys
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Rapid screening of high-entropy alloys using neural networks and constituent elements
inferredcites →https://doi.org/10.1016/j.commatsci.2022.111185openalex-snapshot
Hardness prediction of high entropy alloys with machine learning and material descriptors selection by improved genetic algorithm
inferredcites →https://doi.org/10.1016/j.intermet.2011.01.004openalex-snapshot
Mechanical properties of Nb25Mo25Ta25W25 and V20Nb20Mo20Ta20W20 refractory high entropy alloys
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Effects of Al addition on the microstructure and mechanical property of AlxCoCrFeNi high-entropy alloys
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Effect of Ti content on the microstructure and mechanical behavior of (Fe36Ni18Mn33Al13)100−xTix high entropy alloys
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Low energy atomic traps sluggardize the diffusion in compositionally complex refractory alloys
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Microstructure and mechanical properties of multi-component AlCrFeNiMox high-entropy alloys
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Temperature dependencies of the elastic moduli and thermal expansion coefficient of an equiatomic, single-phase CoCrFeMnNi high-entropy alloy
inferredcites →https://doi.org/10.1016/j.jallcom.2020.156959openalex-snapshot
Modelling and prediction of hardness in multi-component alloys: A combined machine learning, first principles and experimental study
inferredcites →https://doi.org/10.1016/j.jallcom.2023.169329openalex-snapshot
Interpretable hardness prediction of high-entropy alloys through ensemble learning
inferredcites →https://doi.org/10.1016/j.jmst.2018.10.009openalex-snapshot
Strengthening FCC-CoCrFeMnNi high entropy alloys by Mo addition
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Effect of molybdenum content on the microstructure and corrosion behavior of FeCoCrNiMox high-entropy alloys
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Defect properties in a VTaCrW equiatomic high entropy alloy (HEA) with the body centered cubic (bcc) structure
inferredcites →https://doi.org/10.1016/j.jmst.2022.03.008openalex-snapshot
cardiGAN: A generative adversarial network model for design and discovery of multi principal element alloys
inferredcites →https://doi.org/10.1016/j.matchar.2021.110877openalex-snapshot
Lattice distortion as an estimator of solid solution strengthening in high-entropy alloys
inferredcites →https://doi.org/10.1016/j.matchemphys.2021.125546openalex-snapshot
Grain-Size Effects on the Deformation in Nanocrystalline Multi-Principal Element Alloy
inferredcites →https://doi.org/10.1016/j.msea.2003.10.257openalex-snapshot
Microstructural development in equiatomic multicomponent alloys
inferredcites →https://doi.org/10.1016/j.msea.2010.07.028openalex-snapshot
Microstructures and compressive properties of multicomponent AlCoCrFeNiMox alloys
inferredcites →https://doi.org/10.1016/j.msea.2015.08.078openalex-snapshot
Tensile ductility of an AlCoCrFeNi multi-phase high-entropy alloy through hot isostatic pressing (HIP) and homogenization
inferredcites →https://doi.org/10.1016/j.mser.2021.100645openalex-snapshot
Machine-learning and high-throughput studies for high-entropy materials
inferredcites →https://doi.org/10.1016/j.neucom.2018.09.013openalex-snapshot
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification
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Machine Learned Feature Identification for Predicting Phase and Young's Modulus of Low-, Medium- and High-Entropy Alloys
inferredcites →https://doi.org/10.1016/j.wear.2020.203583openalex-snapshot
Nano-tribological behavior of high-entropy alloys CrMnFeCoNi and CrFeCoNi under different conditions: A molecular dynamics study
inferredcites →https://doi.org/10.1016/j.wear.2021.204231openalex-snapshot
Benefits of passive element Ti to the resistance of AlCrFeCoNi high-entropy alloy to corrosion and corrosive wear
inferredcites →https://doi.org/10.1017/cbo9780511810930openalex-snapshot
Mechanical Behavior of Materials
inferredcites →https://doi.org/10.1038/ncomms7529openalex-snapshot
Accelerated exploration of multi-principal element alloys with solid solution phases
inferredcites →https://doi.org/10.1038/s41467-019-09700-1openalex-snapshot
High entropy alloys as a bold step forward in alloy development
inferredcites →https://doi.org/10.1038/s41467-019-10533-1openalex-snapshot
Materials informatics for the screening of multi-principal elements and high-entropy alloys
inferredcites →https://doi.org/10.1038/s41524-020-0308-7openalex-snapshot
Machine-learning informed prediction of high-entropy solid solution formation: Beyond the Hume-Rothery rules
inferredcites →https://doi.org/10.1038/s41524-023-01006-7openalex-snapshot
Bayesian optimization with active learning of design constraints using an entropy-based approach
inferredcites →https://doi.org/10.1038/s41529-017-0009-yopenalex-snapshot
Corrosion of high entropy alloys
inferredcites →https://doi.org/10.1038/s41529-021-00208-yopenalex-snapshot
Machine-learning-guided descriptor selection for predicting corrosion resistance in multi-principal element alloys
inferredcites →https://doi.org/10.1038/s41598-021-96507-0openalex-snapshot
Machine learning assisted prediction of the Young’s modulus of compositionally complex alloys
inferredcites →https://doi.org/10.1038/srep31028openalex-snapshot
Atomistic clustering-ordering and high-strain deformation of an Al0.1CrCoFeNi high-entropy alloy
inferredcites →https://doi.org/10.1039/c6ra16503fopenalex-snapshot
Mechanical behaviors of AlCrFeCuNi high-entropy alloys under uniaxial tension via molecular dynamics simulation
inferredcites →https://doi.org/10.1063/5.0065303openalex-snapshot
Prediction of Ti-Zr-Nb-Ta high-entropy alloys with desirable hardness by combining machine learning and experimental data
inferredcites →https://doi.org/10.1093/mnrasl/slx008openalex-snapshot
Generative adversarial networks recover features in astrophysical images of galaxies beyond the deconvolution limit
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Universal Maximum Strength of Solid Metals and Alloys
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Density-Functional Theory for Random Alloys: Total Energy within the Coherent-Potential Approximation
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Generalized Gradient Approximation Made Simple
inferredcites →https://doi.org/10.1103/physrevmaterials.2.055004openalex-snapshot
Ta-Nb-Mo-W refractory high-entropy alloys: Anomalous ordering behavior and its intriguing electronic origin
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Generative adversarial networks: introduction and outlook
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A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
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Phase selection rules for cast high entropy alloys: An overview
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Nanoindentation of silver-relations between hardness and dislocation structure
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Effect of Mo Element on the Mechanical Properties and Tribological Responses of CoCrFeNiMox High-Entropy Alloys
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