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Prof. Vijay Choyal

Assistant Professor Gr-II

Department of Mechanical Engineering

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Information

Room No: 669 +91-870-2462339 vijaychoyal@nitw.ac.in www.vijaychoyal.com Bio Sketch

    Key Notes

    • Journal(s): 9
    • Conference(s): 2
    • PhD: Current - 2

    11

    PUBLICATIONS

    2

    DOCTORAL STUDENTS

    1

    PROJECT

    Research Areas

    Computational materials science
    Energy Storage devices (batteries)
    Machine learning integrated Materials design
    Multifunctional materials: CNT, BNNT, Graphene, BN Sheet
    Multiscale modeling of materials (DFT, MD, FEM, ML)
    Smart materials and smart hybrid composite structures
    EDUCATION QUALIFICATION
    Degree Institute Year
    Doctor of Philosophy Indian Institute of Technology Indore 2021
    Master of Technology Indian Institute of Technology Indore 2017
    Bachelor of Engineering Ujjain Engineering College Ujjain 2014
    COURSES HANDLED
    Course L-T-P Credit Degree Level
    Machine Learning for Materials Informatics(ME444) 3-0-0 3 UG
    Factory Physics(ME36003) 3-0-0 3 PG
    Management Science and Productivity(ME305) 3-0-0 3 UG
    Mechatronics(ME353) 3-0-0 3 UG
    Operations Planning and Control(ME354) 3-0-0 3 UG
    RESEARCH IDs
    ORCID
    ORC ID
    ISI Researcher ID
    ISI Researcher ID
    Scopus
    SCOPUS ID
    Google Scholar
    Google Scholar ID
    PUBLICATIONS
    Journal(s)
    Exploration of Amorphous V2O5 as Cathode for Magnesium Batteries, By Vijay Choyal, D. Dey, and G. Sai Gautam, Willey, Small, vol.e05851, pp., 2025
    Constructing and evaluating machine-learned interatomic potentials for Li-based disordered rocksalts, By Vijay Choyal, Nidhish Sagar, Gopalakrishnan Sai Gautam, ACS publications, J. Chem. Theory Comput., vol.20, pp.4844–4856, 2024
    Atomistic insights into the fracture mechanisms of Stone–Wales-defected CNTs under transversely isotropic loading, By Saurabh Mishra, PP Maware, Vijay Choyal, SI Kundalwal, Springer, The European Physical Journal Plus, vol.138,, pp.443, 2023
    Investigation of unified impact of Ti adatom and N doping on hydrogen gas adsorption capabilities of defected graphene sheets, By Nitin Luhadiya, Vijay Choyal, Shailesh I Kundalwal, SK Sahu, Elsevier, Journal of Molecular Graphics and Modelling, vol.119, pp.108399, 2023
    Active and passive multicycle actuation characteristics of shape memory alloy-based adaptive composite structures, By Vijay Choyal, Suhel Khan, Prabu SS Mani, IA Palani, Pushpendra Singh, IOP Publishing, Smart Materials and Structures, vol.30, pp.095022, 2021
    Flexoelectric effect in boron nitride–graphene heterostructures, By SI Kundalwal, Vijay K Choyal, Vijay Choyal, Springer Vienna, Acta Mechanica, vol.232, pp.3781-3800, 2021
    Enhancing the piezoelectric properties of boron nitride nanotubes through defect engineering, By SI Kundalwal, Vijay Choyal, North-Holland, Physica E: Low-dimensional Systems and Nanostructures, vol.125, pp.114304, 2021
    Effect of Stone–Wales defects on the mechanical behavior of boron nitride nanotubes, By Vijay Choyal, SI Kundalwal, Springer Vienna, Acta Mechanica, vol.231, pp.4003-4018, 2020
    Effect of atom vacancies on elastic and electronic properties of transversely isotropic boron nitride nanotubes: a comprehensive computational study, By Vijay Choyal, VK Choyal, SI Kundalwal, Elsevier, Computational Materials Science, vol.156, pp.332-345, 2019
    Conference(s)
    Constructing and Evaluating Machine Learned Interatomic Potentials for Li-Based Disordered Rock Salts By Vijay Choyal, Nidhish Sagar and Sai Gautam Gopalakrishnan, , ICMAT 2023, 2023
    Role of grain boundaries on the thermal properties of carbon nanotubes By Vijay Choyal, Ch Ajay, K. Dasarath, S.I. Kundalwal, NA, 2019
    PROJECT / CONSULTANCY
    Computational and Machine learning assistad discovery of high perfomance cathodes for mulitvalent batteries
    Role: Principal Investigator
    Type: Research
    Sponsor: Anusandhan National Research Foundation, PMECG program
    Project Cost (INR): 3800000
    Date of Commencement: 09-07-2025  
    Duration: 36 Months
    Status: Ongoing
    RESEARCH FELLOWS / PhD STUDENTS
    Current PhD Students
    Dinesh Varma Mudunuri
    Area of Research: Design of alloy materials using machine learning
    Vadluri Arun Pandu
    Area of Research: Computational materials science
    CONFERENCE / WORKSHOP / SYMPOSIUM / SHORT TERM COURSE
    AWARDS AND ACCOLADES
    2025
    Outstanding Team work Award Lean Manufacting
    2020
    Shastri Indo-Canadian Institute doctoral
    2019
    DST international travel grant
    2017
    Insitute Silver Medal
    Best Mtech Project Award
    ADDITIONAL RESPONSIBILITIES
    •  Faculty Corrdinator Advanced Manufacturing Lab at CoE for Digital Manufacturing Automation (Continuing from August, 2025)
    •  Lab In-Charge Modeling and Simulation lab (ModSim) (Continuing from October, 2024)
    •  Member of Summer Internship Porgramme (SIP) Organising Committee (September, 2024 - June, 2025)
    •  T & P Faculty Coordinator (July, 2024 - June, 2025)
    •  ERP Coordinator of MED (Continuing from July, 2024)
    •  Warden (July, 2024 - June, 2025)
    •  Faculty Advisor (Continuing from July, 2024)
    •  Member of Students Grievance Committee (Continuing from March, 2024)
     Last updated on November 5, 2025