Doyl E. Dickel

Doyl E. Dickel is an Assistant Professor in the Department of Mechanical Engineering at Mississippi State University, affiliated with the Michael W. Hall School of Mechanical Engineering within the Bagley College of Engineering. His research integrates physics-based modeling and machine learning to study materials at the atomic scale.

Education:

• Ph.D. in Physics, Clemson University, 2011
• B.S. in Physics, California Institute of Technology, 2007

His research focuses on computational materials science, particularly in developing machine learning-driven interatomic potentials to simulate large-scale material behavior. Key interests include magnetic materials, shape memory alloys like nitinol, and lightweight metallic alloys. He leverages molecular dynamics and integrated computational materials engineering to bridge quantum mechanics with macroscopic properties.

His recent publications highlight advancements in hybrid potentials, neural network implementations in LAMMPS, and modeling phase transitions in tin, titanium, and zirconium. These works reflect a strong trend toward data-driven materials modeling and high-fidelity simulation frameworks.

Scientific Awards:

• 2021 Outstanding Junior Faculty Research Award, Department of Mechanical Engineering, Mississippi State University

Dr. Dickel has been involved in significant research grants through the Center for Advanced Vehicular Systems (CAVS), where he previously served as a Postdoctoral Researcher and Assistant Research Professor. He mentors students in computational materials research, though specific advisees are not listed. His lab focuses on developing open, reproducible, and rapid machine learning potentials for materials discovery.

He is actively contributing to the future of predictive materials science by combining fundamental physics with modern computational tools.