[HTML][HTML] A review on High-Temperature Applicability: A milestone for high entropy alloys

SK Dewangan, A Mangish, S Kumar, A Sharma… - … Science and Technology …, 2022 - Elsevier
Due to the limitations of utilizing pure metals, several elements were combined to make an
alloy in order to provide and improve certain features as needed for the application. The …

Review on applications of artificial neural networks to develop high entropy alloys: A state-of-the-art technique

SK Dewangan, C Nagarjuna, R Jain… - Materials Today …, 2023 - Elsevier
Compared to conventional alloys, multicomponent high-entropy alloys (HEAs) have
received considerable attention in recent years owing to their exceptional phase stability …

Prediction of nanoindentation creep behavior of tungsten-containing high entropy alloys using artificial neural network trained with Levenberg–Marquardt algorithm

SK Dewangan, A Sharma, H Lee, V Kumar… - Journal of Alloys and …, 2023 - Elsevier
This paper describes the synthesis of tungsten-containing high-entropy alloys (HEAs). The
synthesis method involves a powder metallurgy process, and spark plasma sintering (SPS) …

Upcycling of abandoned banner via thermocatalytic process over a MnFeCoNiCu high-entropy alloy catalyst

C Park, H Lee, N Lee, B Ahn, J Lee - Journal of Hazardous Materials, 2022 - Elsevier
High-entropy alloys (HEAs) are composed of five or more elements in a near-equimolar
ratio. They have drawn increasing attention in catalytic applications owing to their unique …

Application of artificial neural network to predict the crystallite size and lattice strain of CoCrFeMnNi high entropy alloy prepared by powder metallurgy

C Nagarjuna, SK Dewangan, A Sharma, K Lee… - Metals and Materials …, 2023 - Springer
An equiatomic CoCrFeMnNi high entropy alloy (HEA) was prepared by the gas atomization
process. In addition, high-energy milling was carried out to study the effects of milling …

Machine learning-enabled prediction of high-temperature oxidation resistance for Ni-based alloys

C Li, K Xu, M Lou, L Wang, K Chang - Corrosion Science, 2024 - Elsevier
A machine learning (ML) model was developed to predict the oxidation resistance, with the
natural logarithm of the parabolic rate constant (lnk p) as the output. Five algorithms were …

Discovering a formula for the high temperature oxidation behavior of FeCrAlCoNi based high entropy alloys by domain knowledge-guided machine learning

Q Wei, B Cao, L Deng, A Sun, Z Dong… - Journal of Materials …, 2023 - Elsevier
A mathematical formula of high physical interpretation, and accurate prediction and large
generalization power is highly desirable for science, technology and engineering. In this …

Surface oxidation behavior of spark plasma sintered AlCrCuFeMnWx high entropy alloys at an elevated isothermal temperature

SK Dewangan, D Kumar, V Kumar, B Ahn - International Journal of …, 2024 - Elsevier
The high-temperature surface oxidation behavior of high-entropy alloys (HEAs) with
compositions of AlCrCuFeMnWx (x= 0, 0.05, 0.1, and 0.5) was studied at 800° C as an …

[HTML][HTML] Predicting the parabolic growth rate constant for high-temperature oxidation of steels using machine learning models

S Aghaeian, F Nourouzi, WG Sloof, JMC Mol… - Corrosion …, 2023 - Elsevier
The parabolic growth rate constant (kp) of high-temperature oxidation of steels is predicted
via a data analytics approach. Four machine learning models including Artificial Neural …

[HTML][HTML] Enhancing the oxidation resistance of nanocrystalline high-entropy AlCuCrFeMn alloys by the addition of tungsten

SK Dewangan, D Kumar, A Sharma, B Ahn… - Journal of Materials …, 2022 - Elsevier
The isothermal oxidation behavior of multi-component high entropy alloys (HEAs), namely
AlCuCrFeMn, AlCuCrFeMnW 0.05, AlCuCrFeMnW 0.1, and AlCuCrFeMnW 0.5, was …