Krystian Ganko

Program Year:

University:

Massachusetts Institute of Technology

Field of Study:

Chemical Engineering

Advisor:

Richard D. Braatz

Degree(s):

B.S. Chemical Engineering, Columbia University, 2020

Practicum Experience(s)

Argonne National Laboratory (2023)

Practicum Supervisor(s):

Sven

Leyffer

Practicum Title:

Improving the hyperbolic partial differential equation (PDE)-constrained dynamic optimization of an oscillatory bioreactor using surrogate modeling

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.

Annual Program Review Abstracts

Improving System Identification of Kinetic Networks Using Neural Stochastic Differential Equations (2023)

Fast and Accurate Numerical Solution of a Cell Population Balance Model Using a Spectral Coefficient Method (2022)

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.2021.04.018

Stover, 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. (2024). Time-Certified Input-Constrained NMPC via Koopman Operator. IFAC-PapersOnLine, 58(18), 335-340. 10.1016/j.ifacol.2024.09.052.

Wu, L., Ganko, K., Wang, S., and Braatz, R., D. (2024). An Execution-Time-Certified Ricatti-Based IPM Algorithm for RTI-Based Input-Constrained NMPC. 2024 63rd IEEE Conference on Decision and Control (CDC), Milan, Italy, 2025, 5539-5545. 10.1109/CDC56724.2024.10886531.

Ganko, K., Tan, W. G. Y., and Braatz, R. D. (2025). Structure-Preserving Uncertainty Quantification and Control of Population Balance Models. 2025 American Control Conference (ACC), Denver, Colorado, 2025.

Tan, W. G. Y., Ganko, K., Santra, S., von Andrian, M., and Braatz, R. D. (under review). Offset-free Stochastic Quadratic Dynamic Matrix Control Formulations using Polynomial Chaos Expansions. Control Engineering Practice.

Ahmadi, S., Stover, N. M., Ganko, K., Kayser, F. B., Braatz, R. D., and Myerson, A. S. (submitted). DNA Nanoflowers Assemble via Template-Induced Crystallization During mRNA Synthesis. Nature Materials.

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)