Bio


Seongbeom Lee is currently a postdoctoral research fellow in the Department of Energy Resources Engineering at Stanford University (Advisor: Prof. Simona Onori). His research aims to create the very first, transformative and computationally optimized modeling framework for electrochemical energy storage systems that is able to accurately describe macroscale (both in 1-D and 2-D) dynamics used for design optimization and systematically transfer the accuracy and fidelity of such macroscale models to low-order/reduced models suitable for real-time control.

Seongbeom received a B.E. in Chemical Engineering and a Master’s in Chemistry (Advisor: Prof. Kyung Byung Yoon), from Sogang University, Seoul, South Korea. He also earned a Ph.D. (Advisor: Prof. Venkat Subramanian) in Chemical Engineering from the University of Washington, Seattle. Seongbeom has been working on experiments, modeling, and simulations of electrochemical energy storage and conversion systems, and as a result, he has authored 5 peer-reviewed publications, combining material science, electrochemistry, computer science (e.g., machine learning), and mathematical techniques (e.g., optimization and numerical methods). This multidisciplinary expertise/experience enabled him to collaborate with many research groups (Prof. Victor Zavala group at the UW-Madison, Prof. Wenzhong Gao group at the University of Denver, Dr. Babu Chalamala group at SNL, Dr. Jun Liu group at PNNL, and Dr. Peter Khalifah group at BNL), minimizing a collaboration time delay between modelers/controllers and experimentalists (e.g., providing open access codes with multiple software including Matlab, Fortran, C++, Comsol, Python, and Maple).

Honors & Awards


  • The most-read article ranked #9 for March 2017, The Electrochemical Society, USA (2017)
  • Travel grant, The Electrochemical Society, USA (2016-2017)
  • Honors Degree with Cum Laude, Sogang University, South Korea (2011)

Stanford Advisors


Projects


  • Developing Physics-based Battery Models, University of Washington (September 1, 2014 - August 23, 2019)

    1. Modeling, simulations, and control of physics-based battery models (Li-ion, Li-metal, and redox flow batteries): Parameter estimation, data-driven approaches, optimization, and numerical methods
    2. Modeling and simulations of current distributions with different electrochemical cell designs
    3. Study and analysis of kinetics and transport in battery systems (membrane, interface, and electrodes)

    Location

    Seattle

    Collaborators

    • Babu Chalamala, Manager of the Energy Storage Technology and Systems Department, Sandia National Laboratory
    • Peter Kalifah, Associate Professor, Stony Brook University
    • Jun Liu, Professor, University of Washington
  • Integrating Energy Storage Systems into Practical Applications (Grid, EV, and Electric Flight), University of Washington (September 1, 2014 - August 23, 2019)

    1. Computational modeling of battery/grid integration framework for physics-based battery models
    2. Modeling, simulations, and control of physics-based battery models (Li-ion, Li-metal, and redox flow batteries)
    3. Modeling and simulations of current distributions with different electrochemical cell designs

    Location

    Seattle

    Collaborators

    • David Wenzhong Gao, Professor, University of Denver
    • Victor Zavala, Associate Professor, UW-Madison

    For More Information:

  • Developing photocatalysts for water splitting and CO2 reduction, Sogang University (November 1, 2010 - July 1, 2013)

    1. Study and Analysis of Ru(bpy)32+ during water oxidation
    2. Metal-loaded TiO2 for photocatalytic CO2 reduction
    3. Design and development of photocatalytic reactors and systems

    Location

    Seoul

  • Modeling and Simulation of Biotechnologies, University of Washington (February 1, 2018 - May 1, 2019)

    Modeling the cooperative adsorption of solid-binding proteins on silica: molecular insights from SPR Measurements

    Location

    Seattle

    Collaborators

    • François Baneyx, Professor, University of Washington

All Publications


  • Modeling the Cooperative Adsorption of Solid-Binding Proteins on Silica: Molecular Insights from Surface Plasmon Resonance Measurements LANGMUIR Hellner, B., Lee, S., Subramaniam, A., Subramanian, V. R., Baneyx, F. 2019; 35 (14): 5013–20

    Abstract

    Combinatorially selected solid-binding peptides (SBPs) provide a versatile route for synthesizing advanced materials and devices, especially when they are installed within structurally or functionally useful protein scaffolds. However, their promise has not been fully realized because we lack a predictive understanding of SBP-material interactions. Thermodynamic and kinetic binding parameters obtained by fitting quartz crystal microbalance and surface plasmon resonance (SPR) data with the Langmuir model whose assumptions are rarely satisfied provide limited information on underpinning molecular interactions. Using SPR, we show here that a technologically useful SBP called Car9 confers proteins to which is fused a sigmoidal adsorption behavior modulated by partner identity, quaternary structure, and ionic strength. We develop a two-step cooperative model that accurately captures the kinetics of silica binding and provides insights into how SBP-SBP interactions, fused scaffold, and solution conditions modulate adsorption. Because cooperative binding can be converted to Langmuir adhesion by mutagenesis, our approach offers a path to identify and to better understand and design practically useful SBPs.

    View details for DOI 10.1021/acs.langmuir.9b00283

    View details for Web of Science ID 000464475700025

    View details for PubMedID 30869906

  • Data Science Approaches for Electrochemical Engineers: An Introduction through Surrogate Model Development for Lithium-Ion Batteries JOURNAL OF THE ELECTROCHEMICAL SOCIETY Dawson-Elli, N., Lee, S., Pathak, M., Mitra, K., Subramanian, V. R. 2018; 165 (2): A1–A15
  • Direct, Efficient, and Real-Time Simulation of Physics-Based Battery Models for Stand-Alone PV-Battery Microgrids Lee, S., Pathak, C., Ramadesigan, V., Gao, W., Subramanian, V. R. ELECTROCHEMICAL SOC INC. 2017: E3026–E3034
  • Fate of methanol under one-pot artificial photosynthesis condition with metal-loaded TiO2 as photocatalysts CATALYSIS TODAY Koirala, A., Docao, S., Lee, S., Yoon, K. 2015; 243: 235–50