We excel at innovative advanced materials development, beginning with earth abundant feedstocks and avoiding reliance on critical or supply risk materials wherever possible. We design nanostructured hybrids and heterostructures that combine inorganic and carbon components to deliver tailored electrical, electrochemical and mechanical properties. For example, we employ surface functionalization and hetero atom doping of nanostructured carbon matrices (graphene-related materials) to enhance electrolyte wettability, which is essential for high performance supercapacitors and batteries.

We prioritize green, scalable processes that convert raw precursors into high-value nanomaterials. This includes laser-assisted syntheses, solid-state conversions, and solvent-free or aqueous processing routes. By tailoring processing conditions, we engineer controllable pore architectures and tunable surface chemistry, ensuring the required wettability, conductivity, and stability. We also design substitution strategies for critical elements, helping collaborators future-proof their supply chains.

EnMaCon provides component design for the key elements of electrochemical energy-storage devices. We design and prototype high-capacity anodes and low-impedance separators for Li-ion and emerging battery chemistries, as well as electrodes for electric double-layer capacitors and hybrid supercapacitors. Leveraging our expertise in surface engineering and structural control, we deliver electrode materials with high conductivity, optimized pore-size distributions, and enhanced electrolyte wettability—critical for maximizing capacitance and power density.

EnMaCon's experienced team provides rigorous interpretation of experimental data from advanced characterisation (XPS, Raman, SEM/TEM, BET, micro-tomography) and electrochemical testing (cyclic voltammetry, galvanostatic charge–discharge, impedance spectroscopy). We complement this with multiscale, multiphysics modelling—using both off-the-shelf and custom-developed simulation tools—to link atomic-scale phenomena to device-level behaviour. From simulating ion transport through porous networks to predicting mechanical stress in composite electrodes, our models guide process adjustments and accelerate optimisation.