Four ESC Lab presentations at the 249th ECS Meeting in Seattle
Seattle · May 24–28, 2026
Conceptual illustration of the four connected research themes presented at the 249th ECS Meeting; not measured experimental data.
Energy Storage & Conversion Lab / AI-assisted original illustration
The ESC Lab contributed four presentations to the 249th ECS Meeting in Seattle, connecting electrode-resolved diagnostics, microscopy-informed modeling, low-temperature lithium plating, and realistic 4680-cell duty cycles.
A01-0126 · Battery safety & AI
Electrode-resolved impedance and thermal-runaway risk
Electrode-Resolved Impedance and Thermal Runaway Risk Prediction via Experimental and Physics-Informed Transformer Model
Authors: S. R. Amini Niaki, Y. Abdisobbouhi, Q. Alahmad, T. A. Kingston, and V. R. Yurkiv
Experimentally validated 4680-cell impedance, electrochemical–thermal modeling, and a physics-informed Transformer turn full-cell EIS into electrode-level indicators of degradation and thermal-runaway risk.
A03-0354 · Microscopy & modeling
Microscopy-to-multiphysics modeling of the SEI
Transformer-Enabled HAADF-STEM Quantification of SEI Grain Boundaries for Safety-Relevant Multiphysics Modeling of Li-Ion Batteries
Authors: I. Z. Borshon, T. A. Kingston, R. Shahbazian-Yassar, and V. R. Yurkiv
Transformer-based analysis of atomic-resolution microscopy produces quantitative grain-boundary descriptors for safety-relevant cell-scale multiphysics models.
A01-0095 · Low-temperature charging
Lithium plating in commercial 4680 cells
Lithium-Plating Behavior in Commercial 4680 Cylindrical Cells during Low-Temperature Charging
Authors: Y. Abdisobbouhi, Q. Alahmad, T. A. Kingston, and V. R. Yurkiv
Sub-zero experiments combine thermography, impedance spectroscopy, distribution of relaxation times, and electro-thermal modeling to resolve lithium-plating behavior during cold charging.
A02-0163 · Sustainable EV duty
Realistic EV duty and long-term 4680-cell behavior
Evaluating 4680 Cylindrical Cells for Sustainable EV Duty: Multi-Cycle Testing and Electro-Thermal Modeling
Authors: T. B. Zeman, Y. Abdisobbouhi, Q. Alahmad, T. A. Kingston, and V. R. Yurkiv
Repeated city and highway drive-cycle experiments connect electro-thermal models, internal temperature gradients, degradation, and charging-control decisions for large-format commercial cells.
One cross-scale battery-safety program
Across the four presentations, experiments, physics-based models, microscopy, and machine learning connect measurable cell behavior to the mechanisms that govern degradation and safety.