Molecular modelling and design of capacitive energy storage devices

About the Project

In order to be self-sufficient with relatively constant energy output, renewable energy sources, such as solar and wind, require that energy be stored during periods of high energy production so that it can be available during periods of low or zero energy production. Among the many choices for energy storage devices, electrical double layer capacitors (EDLCs), also called supercapacitors, are attracting considerable attention. Supercapacitors store electrical energy via ion electrosorption directly in the electrical double layers (EDLs) at the electrolyte-electrode interface, suggesting that such liquid-solid interfaces play a dominant role in the underlying energy storage mechanism and the resulting device performance. The market for supercapacitors is expected to grow rapidly in the future, in part due to adoption by the automotive industry as the power source for automated stop/start systems. Because electrical energy in supercapacitors is stored based on physical phenomena rather than chemical reaction (as in batteries), supercapacitors have fast rates of charge/discharge and a virtually limitless number of charge cycles (unlike batteries, which are often limited to 10⁴ or less cycles). Much of the goal of supercapacitor research is aimed at increasing the amount of energy stored (energy density is the strong point in favor of batteries), which in turn focuses attention on the electrolyte, the nature of the electrode, and the electrode-electrolyte interactions. In recent years, ionic liquids (ILs) have become emerging candidates for electrolytes used in supercapacitors, due to their exceptionally wide electrochemical window, excellent thermal stability, nonvolatility, and relatively inert nature; meanwhile carbons are the most widely used electrode materials in supercapacitors, due to their high specific surface area, good electrical conductivity, chemical stability in a variety of electrolytes, and relatively low cost. To improve the energy density and the transport properties of the charge carriers in supercapacitors, carbons have been developed in diverse forms such as activated carbons, carbon nanotubes, onion-like carbons (OLCs), carbide-derived carbons and graphene. Using molecular modeling combined with molecular experimental probes conducted by our collaborators (such as small angle x-ray scattering, small angle neutron scattering, pulsed-field NMR, and atomic force microscopy), we investigate the interfacial phenomena occurring between the IL electrolytes and electrodes of varying geometries to understand the energy storage mechanism of supercapacitors that rely on EDLs established at IL-electrode interfaces. In the next phase of this work, we intend to use computational screening combined with machine learning to identify novel electrolyte/electrode combinations for enhanced performance in next-generation supercapacitors.

Applicants should have some experience in writing computer codes (such as Python or MATLAB). Applicants need not have prior molecular simulation experience, though familiarity with open-source codes such as LAMMPS and/or HOOMD is an advantage.