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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): 17
    • Conference(s): 15
    • PhD: Current - 3

    32

    PUBLICATIONS

    3

    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
    Operations Planning and Control(ME354) 3-0-0 3 UG
    Management Science and Productivity(ME305) 3-0-0 3 UG
    Mechatronics(ME353) 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)
    Development and evaluation of machine-learned interatomic potentials for carbon nanotubes for molecular dynamics simulations, By Vijay Choyal, Saurabh Mishra, Nitin Luhadiya, SI Kundalwal, Springer Nature , Carbon Letters, vol.35, pp.1311–1326 , 2025
    Exploration of Amorphous V2O5 as Cathode for Magnesium Batteries, By Vijay Choyal, D. Dey, and G. Sai Gautam, Willey, Small, vol.e05851, pp., 2025
    Machine-learned interatomic potentials for accurate analysis of the mechanical properties of boron nitride sheets, By Vijay Choyal, Mahesh Patil, Nitin Luhadiya, S. I. Kundalwal, IOP Science, Journal of Physics: Materials, vol.8, pp.015003, 2024
    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
    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
    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
    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
    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
    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
    Enhancement of piezoelectric and flexoelectric response of boron nitride sheet superlattices via interface engineering. , By SI Kundalwal, VK Choyal, Vijay Choyal, SK Nevhal, N Luhadiya, Elsevier, Physica E: Low-dimensional Systems and Nanostructures, vol., pp.114304, 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
    Effect of aspects ratio on Young's modulus of boron nitride nanotubes: A molecular dynamics study, By V.K. Choyal, Vijay Choyal, Subhash Nevhal, Ajeet Bergaley, S.I. Kundalwal. , Elsevier, Materials Today: Proceedings, vol., pp.ISSN 2214-7853, 2019
    Role of grain boundaries on the thermal properties of carbon nanotubes., By Vijay Choyal, Ch Ajay, K Dasarath, SI Kundalwal, Elsevier, Materials Today: Proceedings, vol., pp.ISSN 2214-7853, 2019
    Transversely isotropic elastic properties of multi-walled boron nitride nanotubes under a thermal environment. , By SI Kundalwal, VK Choyal, N. Luhadiya, Vijay Choyal, IOP Science, Nanotechnology, vol.31, pp.395707, 2019
    Transversely isotropic elastic properties of carbon nanotubes containing vacancy defects using MD, By SI Kundalwal, Vijay Choyal. , Springer , Acta Mechanica , vol.229 (6), pp., 2018
    Interfacial characteristics of hybrid nanocomposite under thermomechanical loading, By Vijay Choyal, S. I. Kundalwal, De Gruyter , Journal of the Mechanical Behavior of Materials , vol.26, pp.95-103, 2017
    Conference(s)
    Density functional theory guided Machine learning model for Predicting the mechanical properties of Boron nitride-based materials By Vijay Choyal and S. I. Kundalwal, 14th International congress on Thermal Stresses , 2025
    Data-Driven computational modeling of amorphous V₂O₅ as cathode for multivalent magnesium batteries By Vijay Choyal, Debsundar Dey, Gopalakrishnan Sai Gautam, International meeting on the battery research society (IMBRS 25), 2025
    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
    Study of amorphous materials as multivalent battery cathodes using machine learning By Vijay Choyal, 2nd National conference in Mechanical Engineering: Advance in Materials and Design, 2022
    Role of grain boundaries on the thermal properties of carbon nanotubes By Vijay Choyal, Ch Ajay, K. Dasarath, S.I. Kundalwal, International Conference on Recent Advances in Materials, Manufacturing & Energy Systems (ICRAMMES) 3-4th Jan 2019, Vijayawada, AP, India, 2019
    Mechanical properties of multi-walled boron nitride nanotubes: Computational study. By Vijay Choyal, V. K. Choyal, Ekansh Jain, S. I. Kundalwal, International Conference on Precision, Meso, Micro and Nano Engineering, 2019
    Effect of electric field on buckling analysis of boron nitride nanotube using molecular dynamics simulation. By Vijay Choyal, Prakash Khatri, S. I. Kundalwal. , International Conference on Precision, Meso, Micro and Nano Engineering, 2019
    Role of grain boundaries on the thermal properties of carbon nanotubes. By Vijay Choyal, Ch Ajay, K. Dasarath, S.I. Kundalwal. , 2nd International conference on Nano Science and Engineering Applications ICONSEA-2018, 2019
    lectromechanical properties of carbon-doped Boron nitride nanosheets. By V. K. Choyal, Vijay Choyal, Nitin Luhadiya, S. I. Kundalwal. E, International Conference on Precision, Meso, Micro and Nano Engineering, IIT Indore. , 2019
    Effect of aspects ratio on Young's modulus of boron nitride nanotubes: A molecular dynamics study. By V.K. Choyal, Vijay Choyal, Subhash Nevhal, Ajeet Bergaley, S.I. Kundalwal. , 2nd International conference on Nano Science and Engineering Applications ICONSEA-2018, 2018
    Transversely Isotropic Elastic Properties of Vacancy Defected Boron Nitride Nanotubes Using Molecular Dynamics Simulations By Vijay Choyal, V. K. Choyal, SI Kundalwal, 2018 IEEE 13th Nanotechnology Materials and Devices Conference (NMDC), , 2018
    Molecular dynamics study: effect of length and diameter on elastic properties of multi-wall boron nitride nanotubes. By Vijay Choyal, V. K. Choyal, Ekansh Jain, S. I. Kundalwal, 2nd International conference on Nano Science and Engineering Applications ICONSEA-2018, 2018
    Shape memory alloy based adaptive composite structure ability of multiple modes of actuation By Vijay Choyal, S S Mani Prabu, M Anbarasu and Palani I. A. , Rescon, 2017
    Development and Thermo-Mechanical Analysis of Shape Memory Alloy GFRP Embedded Smart Structures By Vijay Choyal, S S Mani Prabu, M Anbarasu and Palani I. A., ASFM , 2017
    Deflection and Thermal Analysis of Two-way Shape Memory Alloy Embedded Smart Structures By Vijay Choyal, S S Mani Prabu, Shreyas Gulhane, S Karthick, Palani I. A., International Conference on Design and Manufacturing (ICONDM), at IIITDM, Chennai, India, 2016
    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
    Burra Chandana
    Area of Research: Machine learning intregated materials modeling
    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 / FACULTY DEVELOPMENT PROGRAMME
    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 December 29, 2025