DigiM actively works in the characterization, failure analysis, and performance prediction of cathode, anode, and catalyst elements of batteries and fuel cells.

DigiM presented work with the Automobile Fuel Cell Corporation on Microscope Supported Multi-scale Modeling of PEM Fuel Cell at the  231st ECS (The Electrochemical Society) Meeting:

Proton exchange membrane fuel cells (PEMFCs) are being developed as alternative energy sources for both residential and automotive applications. For this technology to reach its full commercial potential, a significant reduction in cost is still required while the performance and durability of PEMFCs must be maintained or improved. In recent years, several microscopy techniques have become widely available to characterize the three-dimensional structure of PEMFC catalyst layers. By combining 3D imaging data at multiple scales, a unified structural characterization workflow and up-scaling approach has been developed enabling our client to make effective, predictive changes to their product. 

For more information on our work with the Automobile Fuel Cell Corporation please refer to our publication section below.

Polymer Electrolyte Membrane Fuel Cell 3D Reconstruction from DigiM Solution on Vimeo.

Recent Presentations and Publications

  1. Zhu, L., Yin, D., Qin, Y., Konda, S., Zhang, S., Zhu, A., . . . Lin, H. (2019). Sorption‐Enhanced Mixed Matrix Membranes with Facilitated Hydrogen Transport for Hydrogen Purification and CO 2 Capture. Advanced Functional Materials. Read abstract. Request manuscript.
  2. Jankovic, J., Zhang, S., Putz, A., Saha, M. S., & Susac, D. (2019). Multiscale imaging and transport modeling for fuel cell electrodes. Journal of Materials Research, 34(4), 579-591. Read abstract. Request paper.
  3. Kamp, J., Zhang, S. (2017) High Resolution X-ray Computed Tomography for the Measurement and Simulation of Decreased Permeability in the Wall-Flow Diesel Particulate Filter due to the Accumulation of Lubricant-Derived Ash. 2017 MRS Fall Meeting (November 27, 2017). With MIT.