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Complex Multiphase Predicting of Additive Manufactured High Entropy Alloys Based on Data Augmentation Deep Learning

https://doi.org/10.2139/ssrn.4536158
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11665-018-3837-1openalex-extracted
Improvement of Microstructure and Mechanical Properties of CoCrCuFeNi High-Entropy Alloys By V Addition
inferredcites →https://doi.org/10.1007/s11837-016-1888-zopenalex-extracted
Additive Manufacturing of High-Entropy Alloys by Laser Processing
inferredcites →https://doi.org/10.1007/s12540-022-01220-wopenalex-extracted
Phase Prediction in High Entropy Alloys by Various Machine Learning Modules Using Thermodynamic and Configurational Parameters
inferredcites →https://doi.org/10.1007/s42247-021-00249-8openalex-extracted
Emergence of machine learning in the development of high entropy alloy and their prospects in advanced engineering applications
inferredcites →https://doi.org/10.1016/j.actamat.2014.01.029openalex-extracted
Effect of aluminum on the microstructure and properties of two refractory high-entropy alloys
inferredcites →https://doi.org/10.1016/j.actamat.2016.08.081openalex-extracted
A critical review of high entropy alloys and related concepts
inferredcites →https://doi.org/10.1016/j.actamat.2019.11.067openalex-extracted
Phase prediction in high entropy alloys with a rational selection of materials descriptors and machine learning models
inferredcites →https://doi.org/10.1016/j.commatsci.2020.109618openalex-extracted
Using machine learning and feature engineering to characterize limited material datasets of high-entropy alloys
inferredcites →https://doi.org/10.1016/j.intermet.2014.04.019openalex-extracted
A geometrical parameter for the formation of disordered solid solutions in multi-component alloys
inferredcites →https://doi.org/10.1016/j.jallcom.2014.12.157openalex-extracted
Effect of V content on microstructure and mechanical properties of the CoCrFeMnNiVx high entropy alloys
inferredcites →https://doi.org/10.1016/j.jmapro.2022.02.006openalex-extracted
Recent progress on the microstructure and properties of high entropy alloy coatings prepared by laser processing technology: A review
inferredcites →https://doi.org/10.1016/j.jmrt.2022.01.172openalex-extracted
Phase formation prediction of high-entropy alloys: a deep learning study
inferredcites →https://doi.org/10.1016/j.jmst.2020.10.037openalex-extracted
Fabrication of bulk Al-Co-Cr-Fe-Ni high-entropy alloy using combined cable wire arc additive manufacturing (CCW-AAM): Microstructure and mechanical properties
inferredcites →https://doi.org/10.1016/j.jmst.2022.03.008openalex-extracted
cardiGAN: A generative adversarial network model for design and discovery of multi principal element alloys
inferredcites →https://doi.org/10.1016/j.matchemphys.2011.11.021openalex-extracted
Prediction of high-entropy stabilized solid-solution in multi-component alloys
inferredcites →https://doi.org/10.1016/j.matdes.2020.108835openalex-extracted
Machine learning reveals the importance of the formation enthalpy and atom-size difference in forming phases of high entropy alloys
inferredcites →https://doi.org/10.1016/j.matlet.2023.133983openalex-extracted
Fabrication of high-strength dual FCC phase Co-Cr-Fe-Ni-Cu-Mo high entropy alloy by plasma arc additive manufacturing using a combined cable wire
inferredcites →https://doi.org/10.1016/j.mattod.2015.11.026openalex-extracted
High-entropy alloy: challenges and prospects
inferredcites →https://doi.org/10.1016/j.optlastec.2018.10.025openalex-extracted
Effect of laser energy density on defects behavior of direct laser depositing 24CrNiMo alloy steel
inferredcites →https://doi.org/10.1016/j.pmatsci.2020.100754openalex-extracted
Multicomponent high-entropy Cantor alloys
inferredcites →https://doi.org/10.1016/j.surfcoat.2018.10.086openalex-extracted
Effects of laser power on microstructure and properties of laser cladded CoCrBFeNiSi high-entropy alloy amorphous coatings
inferredcites →https://doi.org/10.1016/s0025-5408(01)00715-2openalex-extracted
Effect of the atomic size distribution on glass forming ability of amorphous metallic alloys
inferredcites →https://doi.org/10.1016/s0921-5093(00)01446-5openalex-extracted
Quantitative evaluation of critical cooling rate for metallic glasses
inferredcites →https://doi.org/10.1021/ja9928677openalex-extracted
Configuration Energies of the d-Block Elements
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-extracted
Random Forests
inferredcites →https://doi.org/10.1023/b:mach.0000015881.36452.6eopenalex-extracted
Is Combining Classifiers with Stacking Better than Selecting the Best One?
inferredcites →https://doi.org/10.1038/nature17981openalex-extracted
Metastable high-entropy dual-phase alloys overcome the strength–ductility trade-off
inferredcites →https://doi.org/10.1038/s41467-019-10533-1openalex-extracted
Materials informatics for the screening of multi-principal elements and high-entropy alloys
inferredcites →https://doi.org/10.1038/s41524-022-00765-zopenalex-extracted
Accelerating materials discovery using artificial intelligence, high performance computing and robotics
inferredcites →https://doi.org/10.1038/s41578-019-0121-4openalex-extracted
High-entropy alloys
inferredcites →https://doi.org/10.1038/s42254-020-0191-7openalex-extracted
Science in the age of machine learning
inferredcites →https://doi.org/10.1080/02670836.2019.1593669openalex-extracted
Thermal analysis and phase transformation behaviour during additive manufacturing of Ti–6Al–4V alloy
inferredcites →https://doi.org/10.1080/09506608.2016.1180020openalex-extracted
High-entropy alloys: a critical assessment of their founding principles and future prospects
inferredcites →https://doi.org/10.1080/14686996.2017.1361305openalex-extracted
Additive manufacturing of metals: a brief review of the characteristic microstructures and properties of steels, Ti-6Al-4V and high-entropy alloys
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-extracted
XGBoost
inferredcites →https://doi.org/10.1179/1743284715y.0000000018openalex-extracted
Phase selection rules for cast high entropy alloys: An overview
inferredcites →https://doi.org/10.1609/aaai.v35i8.16826openalex-extracted
TabNet: Attentive Interpretable Tabular Learning
inferredcites →https://doi.org/10.3390/met9020247openalex-extracted
Intermetallic Phases in High-Entropy Alloys: Statistical Analysis of their Prevalence and Structural Inheritance
inferredcites →https://doi.org/10.48550/arxiv.1411.1784openalex-extracted
Conditional Generative Adversarial Nets
inferredcites →https://doi.org/10.48550/arxiv.1910.02133openalex-extracted
A Conditional Generative Model for Predicting Material Microstructures from Processing Methods

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inferred← citeshttps://doi.org/10.1016/j.jmrt.2024.06.108openalex-snapshot
Slip systems of lamellar α and damage tolerance properties in Ti-5321 alloys formed by laser cladding
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