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https://doi.org/10.2139/ssrn.4643158

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inferredcites →https://doi.org/10.1002/1527-2648(200009)2:9<551::aid-adem551>3.0.co;2-uopenalex-extracted
Processing and Applications of Intermetallic γ-TiAl-Based Alloys
inferredcites →https://doi.org/10.1002/adem.201200231openalex-extracted
Design, Processing, Microstructure, Properties, and Applications of Advanced Intermetallic TiAl Alloys
inferredcites →https://doi.org/10.1007/s11356-021-17084-3openalex-extracted
Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models
inferredcites →https://doi.org/10.1007/s11600-020-00424-1openalex-extracted
Prediction of electrical conductivity using ANN and MLR: a case study from Turkey
inferredcites →https://doi.org/10.1016/j.actamat.2023.119001openalex-extracted
High-throughput study and machine learning on MAX and MAB phases: new materials and fingerprints of superior lattice thermal conductivities
inferredcites →https://doi.org/10.1016/j.chemosphere.2017.04.015openalex-extracted
Prediction of size-fractionated airborne particle-bound metals using MLR, BP-ANN and SVM analyses
inferredcites →https://doi.org/10.1016/j.crhy.2018.10.002openalex-extracted
High temperature materials for aerospace applications: Ni-based superalloys and γ-TiAl alloys
inferredcites →https://doi.org/10.1016/j.envpol.2018.11.034openalex-extracted
Evaluation of random forest regression and multiple linear regression for predicting indoor fine particulate matter concentrations in a highly polluted city
inferredcites →https://doi.org/10.1016/j.ijheatmasstransfer.2013.03.081openalex-extracted
Mechanism and evolution of heat transfer in mushy zone during cold crucible directionally solidifying TiAl alloys
inferredcites →https://doi.org/10.1016/j.ijhydene.2023.07.118openalex-extracted
Prediction and theoretical investigation of dehydrogenation enthalpy of V–Ti–Cr–Fe alloy using machine learning and density functional theory
inferredcites →https://doi.org/10.1016/j.intermet.2004.12.012openalex-extracted
Fabrication of TiAl components by means of hot forging and machining
inferredcites →https://doi.org/10.1016/j.intermet.2010.11.016openalex-extracted
Numerical study of convection-induced peritectic macro-segregation effect at the directional counter-gravity solidification of Ti–46Al–8Nb alloy
inferredcites →https://doi.org/10.1016/j.intermet.2018.03.011openalex-extracted
Tailoring microstructure and chemical composition of advanced γ-TiAl based alloys for improved creep resistance
inferredcites →https://doi.org/10.1016/j.intermet.2018.07.001openalex-extracted
The elastic behaviors and theoretical tensile strength of γ -TiAl alloy from the first principles calculations
inferredcites →https://doi.org/10.1016/j.intermet.2019.106587openalex-extracted
Microstructures and mechanical properties of directionally solidified C-containing γ-TiAl alloys via electromagnetic cold crucible
inferredcites →https://doi.org/10.1016/j.jallcom.2019.02.207openalex-extracted
High temperature compressive flow behavior and associated microstructural development in a β-stabilized high Nb-containing γ-TiAl based alloy
inferredcites →https://doi.org/10.1016/j.jallcom.2022.163828openalex-extracted
High strength aluminum alloys design via explainable artificial intelligence
inferredcites →https://doi.org/10.1016/j.jmrt.2021.02.058openalex-extracted
Performance assessment of TiNbf/TiAl composites with different fiber structural characteristics
inferredcites →https://doi.org/10.1016/j.jmrt.2021.10.111openalex-extracted
Construction of a machine-learning-based prediction model for mechanical properties of ultra-fine-grained Fe–C alloy
inferredcites →https://doi.org/10.1016/j.jmrt.2023.06.186openalex-extracted
Microstructural evolution during annealing of a powder metallurgical TiAl–Nb composite and its effect on mechanical properties
inferredcites →https://doi.org/10.1016/j.jmst.2020.08.008openalex-extracted
High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy
inferredcites →https://doi.org/10.1016/j.matchar.2018.01.029openalex-extracted
Influence of Mn addition on the microstructure and mechanical properties of a directionally solidified γ-TiAl alloy
inferredcites →https://doi.org/10.1016/j.matdes.2016.03.042openalex-extracted
Microstructure and compressive properties of directionally solidified Er-bearing TiAl alloy using cold crucible
inferredcites →https://doi.org/10.1016/j.matlet.2004.11.053openalex-extracted
Directional solidification of titanium alloys by electromagnetic confinement in cold crucible
inferredcites →https://doi.org/10.1016/j.matlet.2023.135311openalex-extracted
Accelerated discovery of perovskite materials guided by machine learning techniques
inferredcites →https://doi.org/10.1016/j.media.2016.08.009openalex-extracted
Random forest regression for magnetic resonance image synthesis
inferredcites →https://doi.org/10.1016/j.msea.2009.01.046openalex-extracted
Compressive deformation behavior of porous γ-TiAl with directional pores
inferredcites →https://doi.org/10.1016/j.msea.2013.03.051openalex-extracted
Effect of fabrication parameters on the microstructure and mechanical properties of unidirectional Mo-fiber reinforced TiAl matrix composites
inferredcites →https://doi.org/10.1016/j.oregeorev.2015.01.001openalex-extracted
Machine learning predictive models for mineral prospectivity: An evaluation of neural networks, random forest, regression trees and support vector machines
inferredcites →https://doi.org/10.1016/j.scriptamat.2020.03.064openalex-extracted
A strategy combining machine learning and multiscale calculation to predict tensile strength for pearlitic steel wires with industrial data
inferredcites →https://doi.org/10.1016/j.trpro.2023.02.025openalex-extracted
Predicting the Destruction of Composite Materials Using Machine Learning Methods
inferredcites →https://doi.org/10.1016/j.vacuum.2022.111124openalex-extracted
Fabrication, microstructure and compressive properties of Ti2AlC/TiAl composite with a bioinspired laminated structure
inferredcites →https://doi.org/10.1016/s0966-9795(98)00062-4openalex-extracted
Microstructural control and mechanical properties of dual-phase TiAl alloys
inferredcites →https://doi.org/10.1016/s1359-6454(99)00301-8openalex-extracted
High-temperature structural intermetallics
inferredcites →https://doi.org/10.1109/wccct.2016.25openalex-extracted
Application of Random Forest Algorithm on Feature Subset Selection and Classification and Regression
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