Daniel M. Markiewitz

Daniel Markiewitz is a graduate student in chemical engineering seeking to predict macroscopic properties of concentrated electrolytes from molecular-scale ion interactions. Current battery development relies heavily on experimentation; he connects microscopic ion clustering to macroscopic transport properties like ionic conductivity and dielectric permittivity through statistical mechanics models. He combines vibrational spectroscopy with computational frameworks to extract free energies of ion association without expensive molecular dynamics simulations, establishing a streamlined characterization pipeline. He implements cluster effective medium theory in MATLAB to map the parameter space governing electrolyte behavior, enabling rational material design for energy storage systems. As a MathWorks Fellow, Daniel will refine his computational frameworks into a user-friendly MATLAB toolbox extending accessibility to non-technical users in industry and research. His work lays the foundations for rational battery electrolyte design while accelerating discovery across energy storage and electrocatalysis applications.