Krystian Ganko
- Program Year: 4
- Academic Institution: Massachusetts Institute of Technology
- Field of Study: Chemical Engineering
- Academic Advisor: Richard D. Braatz
- Practicum(s):
Argonne National Laboratory (2023) - Degree(s):
B.S. Chemical Engineering, Columbia University, 2020
Summary of Research
I'm interested in multi-scale, first principles modeling of lithium-ion batteries using data-driven techniques to improve advanced battery management systems. Renewable energy continues to face important intermittencies in supply--the sun isn't always shining on solar panels and the wind isn't always blowing through wind turbines. To better facilitate global carbon neutrality, renewables demand improved electrical storage and on-demand transfer from battery systems. Lithium-ion batteries stand at the forefront of solving these issues, but cycle life limitations due to active material loss remain confounded by transport, kinetic, and thermodynamic processes all occurring simultaneously at the microstructural detail of electrode interfaces.Using high performance computing (HPC) resources, I am working towards directly coupling electrode-scale transport models with fine-grained stochastic representations of electrochemical reactions at solid interfaces. At these surfaces, morphologies are determined using particle size and spatial distributions from X-ray Computed Tomography (CT) scans--which when paired with models, can produce high-fidelity realizations of battery degradation. HPC-enabled hypothesis testing of microstructural degradation will then lead me into core insights on battery limitations. Ultimately, I'm hoping to foster rapid exploration of design spaces for these ubiquitous electrochemical reactors of the 21st century.
Publications
Hui, Z., Mayilvahanan, K. S., Ganko, K., Yang, Y., Zhang, X., Ju, Z., Takeuchi, K. J., Marschilok, A. C., Yu, G., Takeuchi, E., and West, A. C.* (2021). Optimal Electrode-Scale Design of Li-Ion Electrodes: A General Correlation. Energy Storage Materials, 39, 176-185. 10.1016/j.ensm.2021.04.018Stover, N. M., Ganko, K., and Braatz, R. D.* (2024). Mechanistic Modeling of In Vitro Transcription Incorporating Effects of Magnesium Pyrophosphate Crystallization. Biotechnology and Bioengineering, 121:2636-2647. 10.1002/bit.28699
Ganko, K., Berliner, M. D., Rhyu, J., Wu, L., Braatz, R. D., and Leyffer, S. (2024). Population Balance Model-Based Dynamic Multiobjective Optimization of Yeast Cell Manufacturing. IFAC-PapersOnLine, 58(14), 860-867. 10.1016/j.ifacol.2024.08.445
Wu, L., Ganko, K., and Braatz, R., D. (accepted). Time-Certified Input-Constrained NMPC via Koopman Operator. IFAC-PapersOnLine.
Wu, L., Ganko, K., Wang, S., and Braatz, R., D. (accepted). An Execution-Time-Certified Ricatti-Based IPM Algorithm for RTI-Based Input-Constrained NMPC. 2024 63rd IEEE Conference on Decision and Control.
Awards
Critical Language Scholarship Finalist in Chinese, U.S. Department of State (5/2020)Tau Beta Pi Engineering Honor Society Scholarship, Tau Beta Pi (5/2019)
Wallace K. Grubman-Graham Scholarship, Columbia University (3/2018, 3/2019)
Work Exemption Program, Columbia University (2/2018, 6/2018, 10/2018, 2/2019)
Dean's List, Columbia University (12/2016 - 1/2020)