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Jain, Reliance
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1

A Machine learning perspective on hardness prediction in mu..:

Jain, Sandeep ; Jain, Reliance ; Dewangan, Sheetal.
Materials Letters.  365 (2024)  - p. 136473 , 2024
Link: https://doi.org/10.1016/..
 
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2

Effect of Ta on the Evolution of Phases and Mechanical Prop..:

Jain, Sandeep ; Jain, Reliance ; Kumar, Vinod.
Transactions of the Indian National Academy of Engineering.  , 2024
Link: https://doi.org/10.1007/..
 
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3

Enhancing flow stress predictions in CoCrFeNiV high entropy..:

Dewangan, Sheetal Kumar ; Jain, Reliance ; Bhattacharjee, Soumyabrata...
Journal of Materials Research and Technology.  30 (2024)  - p. 2377-2387 , 2024
Link: https://doi.org/10.1016/..
 
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4

Exploring Zr Influence on Microstructure and Mechanical Pro..:

Dewangan, Sheetal Kumar ; Jain, Reliance ; Paswan, Manikant...
Metals and Materials International.  , 2024
Link: https://doi.org/10.1007/..
 
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5

Prediction of Hot Deformation Behavior in AlCoCrFeNi2.1 Eut..:

Jain, Reliance ; Jain, Sandeep ; Dewangan, Sheetal Kumar...
Transactions of the Indian National Academy of Engineering.  , 2023
Link: https://doi.org/10.1007/..
 
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6

Integrated experimental and modeling approach for hot defor..:

Jain, Reliance ; Rahul, M.R. ; Chakraborty, Poulami...
Journal of Materials Research and Technology.  25 (2023)  - p. 840-854 , 2023
Link: https://doi.org/10.1016/..
 
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7

Review on applications of artificial neural networks to dev..:

Dewangan, Sheetal Kumar ; Nagarjuna, Cheenepalli ; Jain, Reliance...
Materials Today Communications.  37 (2023)  - p. 107298 , 2023
Link: https://doi.org/10.1016/..
 
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8

Machine-learning-guided phase identification and hardness p..:

Jain, Reliance ; Lee, Unhae ; Samal, Sumanta.
Journal of Alloys and Compounds.  956 (2023)  - p. 170193 , 2023
Link: https://doi.org/10.1016/..
 
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9

Machine learning approach for predicting yield strength of ..:

Veeresham, Mokali ; Jain, Reliance ; Lee, Unhae.
Journal of Materials Research and Technology.  24 (2023)  - p. 2621-2628 , 2023
Link: https://doi.org/10.1016/..
 
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10

High Temperature Deformation Behavior and Processing Maps o..:

Kumar, Piyush ; Jain, Reliance ; Rahul, M. R....
Metals and Materials International.  29 (2023)  9 - p. 2500-2514 , 2023
Link: https://doi.org/10.1007/..
 
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11

Constitutive and Artificial Neural Network Modeling to Pred..:

Jain, Reliance ; Umre, Priyanka ; Sabat, Rama Krushna..
Journal of Materials Engineering and Performance.  31 (2022)  10 - p. 8124-8135 , 2022
Link: https://doi.org/10.1007/..
 
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12

Microstructure Evolution and an ANN Approach for Microhardn..:

Jain, Reliance ; Dewangan, Sheetal Kumar ; Umre, Priyanka..
Transactions of the Indian Institute of Metals.  74 (2021)  11 - p. 2671-2679 , 2021
Link: https://doi.org/10.1007/..
 
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13

Design and deformation characteristics of single-phase Co-C..:

Jain, Reliance ; Rahul, M.R. ; Chakraborty, Poulami...
Journal of Alloys and Compounds.  888 (2021)  - p. 161579 , 2021
Link: https://doi.org/10.1016/..
 
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14

Hot workability of Co–Fe–Mn–Ni–Ti eutectic high entropy all..:

Jain, Reliance ; Rahul, M R ; Samal, Sumanta..
Journal of Alloys and Compounds.  822 (2020)  - p. 153609 , 2020
Link: https://doi.org/10.1016/..
 
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15

Artificial neural network approach for microhardness predic..:

Jain, Reliance ; Dewangan, Sheetal Kumar ; Kumar, Vinod.
Materials Science and Engineering: A.  797 (2020)  - p. 140059 , 2020
Link: https://doi.org/10.1016/..
 
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