PROF. JASNA JANKOVIC
|Address:||Department of Materials Science & Engineering|
IMS-011F, 97 North Eagleville Road, Unit 3136
Storrs, CT 06269-3136, USA
- Development and application of advanced imaging and spectroscopy techniques
- 3D material design and imaging
- Fuel cells and batteries
- Advanced nanomaterials for clean energy
- Electrospinning for clean energy applications
- Templating nature designs for application in clean energy
Advanced Imaging and Spectroscopy Techniques, Nanomaterials for Clean Energy Applications, Fuel Cells, Batteries, Structure-Property-Performance Correlation
JJ Group News
- Dr. Jasna Jankovic has been awarded the NSF CAREER award for the project titled: “CAREER: Understanding degradation mechanisms in sustainable energy electrochemical systems using advanced characterization approaches.” Award period: 09/01/2021 – 08/31/26.
Dr. Jasna Jankovic – Our STEAM Tree project was featured as part of the National Science Foundation-sponsored Convergence Accelerator Conference for Food Security in Extreme Environments and Food Deserts on 19-21 May 2021. Check out our “Lightning Talk”, Video, and UConn’s STEAM Team: Solar Trees and the Power of Community.
- Dr. Jankovic’s students did a fantastic job presenting at the (virtual) World Fuel Cell Conference in Montreal.
Congratulations to Mariah for winning the 2nd place in the 3MT Competition!
Check out their presentations.
- Amir Soleymani – MSE Graduate Student Tackles the Future of Energy Innovation
- Andres Godoy – MSE Graduate Student’s Research Aids Green Technology Revolution
- Sara Pedram – MSE Graduate Student Researches Alternative Energy Sources
Multi-scale imaging and simulation
The deepest secrets of fuel cell catalyst layers in 3D
- A number of advanced structural characterization techniques have been developed in Prof. Jankovic team.
- Techniques are applicable to fuel cells, electrolyzers, batteries (with some further development).
- Advanced quantification of STEM-EDX maps was developed to provide important parameters in BOL and EOL samples: Pt loading, I/C ratio, CL porosity, OER catalyst agglomerate size distribution, Pt and Ionomer profiles etc.
- The technique provides important information about degradation effects on catalyst laters
- Capability in ionomer imaging in catalyst inks and layers (2D and 3D)
- 3D imaging, reconstruction and simulation of catalyst layers, MPL and GDLs have been demonstrated
- A number of correlations with performance of CL properties has been established
- Great potential of using these techniques to provide understanding of FC performance and degradation and input into mathematical models
- Potential for improved CL design and choice of materials
Catalyst layer 3D electron tomography
Catalyst powder 3D electron tomography
Micro-CT of a fuel cell – beginning of life
Micro-CT of a fuel cell – end of life
- Training and Professional Development
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