Jasna Jankovic, Ph.D.
Assistant Professor of Materials Science & Engineering
- Storrs CT UNITED STATES
- Institute of Materials Science
Prof. Jasna Jankovic is an expert in the development of advanced imaging and spectroscopy, fuel cells and industrial collaborations.
Contact More Open optionsBiography
Jasna Jankovic’s research involves the development and application of advanced imaging and spectroscopy techniques, 3D material design and imaging, fuel cells, advanced nanomaterials for clean energy, electrospinning for clean energy applications, templating nature designs for application in clean energy
Industrial collaborations.
Areas of Expertise
Education
University of British Columbia
Ph.D.
2011Social
Media
Media Appearances
New analytical methods help researchers peek inside energy devices
Chemical &Engineering News print
2019-11-18
The devices around us that generate and store the energy that powers our electronics and propels our vehicles rely on intricate chemistry that often happens in tiny spaces. But those sometimes-nanoscale reactions are incredibly difficult to study, making scientists wish they could magically shrink to watch the chemistry in real time. For example, Jasna Jankovic, a specialist in imaging methods at the University of Connecticut, would want to spy on hidden nanoscale pockets of water in materials used in automobile fuel cells.
Articles
Quantitative mapping of PFSA ionomer in catalyst layers by electron and X-ray spectromicroscopy
ECS Transactions2017 Quantitative mapping of ionomer in polymer-electrolyte membrane fuel cell (PEM-FC) cathodes, and associated radiation damage was studied by electron and X-ray microscopies. Mapping and damage quantification was performed by F K-a fluorescence mapping using a high-performance energy dispersive spectroscopy (EDS) detector in a scanning transmission electron microscope (STEM-EDS), and by F 1s X-ray absorption spectromicroscopy in a scanning transmission X-ray microscope (STXM).
Improving FIB-SEM reconstructions by using epoxy resin embedding
ECS Transactions2017 Segmentation of FIB-SEM data remains a major challenge to achieving accurate reconstructions. Epoxy embedding is used in this article to eliminate background data from SEM images in order to aid in segmentation and generate 3D reconstructions of conventional high surface area CLs from FIB-SEM images.
Correlation of Changes in Electrochemical and Structural Parameters due to Voltage Cycling Induced Degradation in PEM Fuel Cells,
Journal of the Electrochemical Society2018 Membrane electrode assemblies were degraded by voltage cycling in hydrogen/air atmosphere. The impact of degradation on fuel cell performance was measured by various electrochemical characterization techniques. Loss of electrochemically active surface area was correlated to kinetic voltage losses at low current density as well as losses at high current density due to oxygen transport limitations.
Electrospun carbon nanofiber catalyst layers for polymer electrolyte membrane fuel cells: Structure and performance
Journal of Power Sources2018 Carbon nanofiber-based fuel cell catalyst layers are prepared by electrospinning random and orthogonally-aligned structures using various structural and compositional parameters. Specifically, the influence of the level of fiber alignment, Platinum (Pt) loading, ionomer loading and distribution, deposition methods, and fiber support carbonization temperature on the support microstructure and fuel cell performance are studied and characterized by physicochemical methods.
Multi-scale imaging and transport modeling for fuel cell electrodes
Journal of Materials Research2019 Transport properties, performance, and durability of a proton exchange fuel cell (PEMFC) highly depend on microstructure and spatial distribution of components in the gas diffusion layer (GDL), microporous layer (MPL), and catalyst layers (CLs) of the fuel cell. Modeling of transport properties and understanding of these effects are challenging due to limited understanding of actual three-dimensional (3D) structure of the components, especially over a wide range of length scales.
