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Sunidhi Garg

Birla Institute of Technology and Science (BITS), Pilani Campus - Department of Mathematics & Department of Chemical Engineering

India

  • Birla Institute of Technology and Science (BITS), Pilani Campus - Department of Mathematics & Department of Chemical Engineering

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