Mikhail Zverlov, M.Sc.


Research Interests

  • Meshfree methods for additive manufacturing
  • Particle Methods
  • High performance parallel computing


Academic Background

  • since 4/2019 Research Associate at the Mechanics & High Performance Computing Group (Fachgebiet Mechanik auf Höchstleistungsrechnern), Technische Universität München, Germany
  • 12/2018 Master of Science, Mechanical Engineering, Technische Universität München, Germany

Conference Contributions with Abstract

  • Zverlov, M., Gee, M. W.: Meso Scale Simulation of Solidification and Grain Growth in Selective Laser Melting Application with Peridynamics, VII International Conference on Particles-based Methods, Hamburg - Germany, October 4-6, 2021
  • Zverlov, M., Gee, M. W.: Peridynamics for Selective Laser Melting, The 8th European Congress on Computational Methods in Applied Sciences and Engineering, Oslo - Norway, June 5-9, 2022
  • Zverlov, M., Gee, M. W.: A Peridynamics Framework for Selective Laser Melting Simulations, X International Conference of Computational Methods for Coupled Problems in Science and Engineering, Chania - Greece, June 5-7, 2023
  • Zverlov, M., Gee, M. W.: A Peridynamics Framework for Laser Powder Bed Fusion, The Fourth International Conference on Simulation for Additive Manufacturing, Garching - Germany, July 26-28, 2023

Supervised Student Projects / Theses

  • Analysis and Implementation of Stabilized Peridynamic Correspondence Materials, MSE Bachelor Thesis (2021)
  • Implementation and Investigation of a Damage Model and Crack Formation in Peridynamics, MSE Research Internship (2021)
  • Comparison of Benchmark Solutions of the Peridynamic Method and the Finite Element Method, MSE Research Internship (2021)
  • Solving a Thermodynamics Problem with Peridynamics, MS&E Research Internship (2020)
  • Continuum Mechanic Theories and Their Application in Validation of Numerical Methods, MSE Research Internship (2020)
  • Implementation of Structural Modelling with Meshfree Methods and Peridynamics, MW Semester Thesis (2020)