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Prasanna V. Balachandran

University of Virginia - Department of Materials Science and Engineering

SCHOLARLY PAPERS

3

DOWNLOADS

203

TOTAL CITATIONS

1

Scholarly Papers (3)

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1.

Explainable Artificial Intelligence Approach for Yield Strength Prediction in As-Cast Multi-Principal Element Alloys

Number of pages: 42 Posted: 11 Oct 2022
Kyungtae Lee and Prasanna V. Balachandran
University of Virginia - Department of Materials Science and Engineering and University of Virginia - Department of Materials Science and Engineering
Downloads 92 (730,864)

Abstract:

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Multi-principal element alloys, High entropy alloys, machine learning, Model interpretability, Yield Strength, Explainable artificial intelligence

2.

Accelerated Design Of MTX Alloys with Targeted Magnetostructural Properties Through Interpretable Machine Learning

Number of pages: 33 Posted: 27 Dec 2021
Timothy Q. Hartnett, Vaibhav Sharma, Sunidhi Garg, Radhika Barua and Prasanna V. Balachandran
Virginia Tech - Department of Material Science and Engineering, Virginia Commonwealth University (VCU) - Department of Mechanical and Nuclear Engineering, Birla Institute of Technology and Science (BITS), Pilani Campus - Department of Mathematics & Department of Chemical Engineering, Virginia Commonwealth University (VCU) - Department of Mechanical and Nuclear Engineering and University of Virginia - Department of Materials Science and Engineering
Downloads 73 (860,052)
Citation 1

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Magnetostructural materials, Machine Learning, Model interpretability, Martensitic transition temperature, Thermal hysteresis

3.

Mechanistic insights into laser-generated surface nanomorphology from physics-guided, explainable machine learning and molecular dynamics simulations

Number of pages: 29 Posted: 02 Feb 2026
Antonios S. Valavanis, Evgeny Gurevich, Maxim V. Shugaev, Prasanna V. Balachandran and Leonid Zhigilei
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Virginia - Department of Materials Science and Engineering and affiliation not provided to SSRN
Downloads 38 (1,236,159)

Abstract:

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surface morphology, Machine learning, molecular dynamics, laser processing, surface nanostructuring