
Theses and Dissertations
Issuing Body
Mississippi State University
Advisor
Dickel, Doyl
Committee Member
Barrett, Christopher
Committee Member
Baskes, Michael
Committee Member
Mun, Sungkwang
Date of Degree
8-7-2025
Original embargo terms
Visible MSU Only 1 year
Document Type
Dissertation - Campus Access Only
Major
Mechanical Engineering
Degree Name
Doctor of Philosophy (Ph.D.)
College
James Worth Bagley College of Engineering
Department
Michael W. Hall School of Mechanical Engineering
Abstract
There is a significant need for computer simulations to explore multiphase materials because of their significance in both industry and research. These simulations are both more efficient and less expensive than many experimental approaches, making them an ideal choice for this purpose. It is possible to use molecular dynamics simulations that make use of the MEAM and RANN interatomic potentials in order to comprehend and characterize the properties, performance, and behavior of materials at the atomic scale of different material phases. In the realms of elements, alloys, and impurities, MEAM can be utilized in a wide variety of applications. Through the utilization of fingerprints and angular screening, RANN is able to reduce the complexity of computational tasks without compromising the accuracy of MEAM. In the present moment, RANN has successfully forecasted a number of materials that have been challenging to model using classical interatomic potentials such as MEAM. The MEAM potential that was produced for bismuth is beneficial for studying the material and mechanical behavior of the pure material under a variety of situations. Additionally, it paves the way for the development of interatomic potentials for bismuth alloys or other bismuth compounds. Within the context of the electric field, the MEAM+ESP (Electrostatics) potential for bismuth ferrite (BiFeO3) has been developed for the purpose of investigating the shape memory effect of the material. Utilizing the Zinc RANN potential allowed for the investigation of the plasticity of pure zinc on an atomic scale.
Sponsorship (Optional)
This work was partially supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under Award number DE-SC0019279.
Recommended Citation
Zhou, Henan, "Interatomic potential of multiphase materials using modified embedded atom method (MEAM) and artificial neural network (RANN)" (2025). Theses and Dissertations. 6727.
https://scholarsjunction.msstate.edu/td/6727