Biography

Mohammed is a Fulbright Scholar from Algeria who moved to UMKC to pursue a Master of Science in Physics, during which he joined the Computational Physics Group (CPG) and became involved in computational materials research. He is currently a PhD researcher in the CPG and is also completing a Master’s degree in Computer Science, broadening his work at the intersection of computational physics, materials modeling, evolutionary algorithms, and machine learning.

Research Interests

Mohammed’s research centers on developing robust theoretical models of molecular amorphous solids through a combination of classical molecular dynamics and advanced global optimization techniques. His work makes extensive use of classical MD—particularly LAMMPS—to generate and refine structural models, complemented when needed by targeted ab initio calculations. A major component of his research involves the design and application of evolutionary algorithms and other nonlinear global search methods to efficiently explore complex configurational landscapes. By integrating experimental feedback into an autonomous, iterative workflow that couples classical MD with evolutionary optimization, his models achieve higher physical fidelity and provide high-quality datasets that support a comprehensive materials-by-design framework.

Publications:

(2017) Model creation and electronic structure calculation of amorphous hydrogenated boron carbide: a classical/ab initio hybrid approach

(2017) Nanoscale Structure-Property Relationship in Amorphous Hydrogenated Boron Carbide for Low-k Dielectric Applications

Thesis:

Model creation and electronic structure calculation of amorphous hydrogenated boron carbide

Education:

Master of Science in Computer Science – University of Missouri – Kansas City (2018)
Master of Science in Physics – University of Missouri  Kansas City (2016)