shanker kumar

Employment

• National Institute of Technology Warangal Assistant Professor
  2025 - Present

Education

• IIT BHU Ph.D.
  2017 - 2024

Projects & Funding

Projects & funding information is unavailable.

Publications (11)

• Integrated CALPHAD–Machine Learning–Experimental Framework for Thermodynamic Design of Lead-Free Bi–In–Sn Solder Alloys
  Journal of Electronic Materials 2026 DOI: 10.1007/s11664-026-12898-8
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• Mechanistic and data-driven interpretation of Vickers microhardness in refractory high-entropy alloys
  Intermetallics 2026 DOI: 10.1016/j.intermet.2026.109301
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• A hybrid cluster-expansion–informed machine learning framework for predicting enthalpy of mixing in BCC refractory binary alloys
  Modelling and Simulation in Materials Science and Engineering 2026 DOI: 10.1088/1361-651X/ae6ba1
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• A predictive and experimental investigation of martensite-free GTAW weld of AISI 441 ferritic stainless steel
  Welding International 2025 DOI: 10.1080/09507116.2025.2592654
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• Integrating machine learning and DFT for hardness prediction in high-entropy alloys
  MRS Communications 2025 DOI: 10.1557/s43579-025-00736-7
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• Influence of micro-segregation on the microstructure, and microhardness of MoNbTaxTi(1-x)W refractory high entropy alloys: Experimental and DFT approach
  Intermetallics 2024 DOI: 10.1016/j.intermet.2023.108080
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• A Neural Network Driven Approach for Characterizing the Interplay Between Short Range Ordering and Enthalpy of Mixing of Binary Subsystems in the NbTiVZr High Entropy Alloy
  Journal of Phase Equilibria and Diffusion 2023 DOI: 10.1007/s11669-023-01055-x
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• First-principles calculations and thermodynamic assessment of the Nb–V system using CE-CVM
  Calphad: Computer Coupling of Phase Diagrams and Thermochemistry 2022 DOI: 10.1016/j.calphad.2022.102439
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• Machine Learning Correlation Functions and Energies to Predict Binary Alloy Systems in a High Entropy Alloy
  2022 DOI: 10.2139/ssrn.4059530
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• Modeling Short-Range Ordering in Binary BCC Ti-X (X = Nb, V, Zr) Alloys using CE-CVM
  Journal of Phase Equilibria and Diffusion 2022 DOI: 10.1007/s11669-022-00989-y
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