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Battery science from atomic interfaces to commercial cells.

Energy Storage & Conversion Lab · University of Arizona

We combine electrochemical experiments, multiscale simulation, high-performance computing, and artificial intelligence to understand degradation, prevent thermal failure, and design next-generation energy-storage materials.

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How do atomic structure, electrochemical interfaces, and operating conditions interact to govern battery performance, degradation, and safety?

We answer this question across scales—from atomic configurations and evolving interfaces to commercial cylindrical and pouch cells—by integrating experiments, physics-based simulation, high-performance computing, and artificial intelligence.

Conceptual battery diagnostics scene combining cylindrical-cell testing, thermal imaging, impedance signals, and data-driven risk prediction

Battery Cells, Diagnostics & Safety

We test commercial-format batteries under realistic electrical and environmental conditions to identify the signals that precede degradation and thermal failure.

  • Commercial-format cells and dynamic cycling
  • Impedance, thermography, and environmental control
  • Degradation diagnostics and thermal-event forecasting

Explore Cell Diagnostics & Safety

Atomic-resolution microscopy and element maps blending into AI-generated high-entropy material configurations

Materials, Interfaces & Intelligent Design

We connect atomic disorder and electrochemical interfaces to measurable material and cell behavior using first-principles calculations, multiscale simulation, high-performance computing, microscopy analysis, and generative artificial intelligence.

  • Electrochemical interfaces and evolving microstructures
  • High-entropy materials and structure–property relationships
  • AI-assisted microscopy and candidate generation

Explore Materials & Interfaces

Latest News & Media

July 16, 2026 · New funded project

New NSF Award: Generative Modeling of Atomic Disorder in High-Entropy Oxide Materials

NSF awarded $578,383 to develop Transformer-based generative models for atomic disorder in high-entropy oxide battery cathodes.

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May 24, 2026 · Conference

Four ESC Lab presentations at the 249th ECS Meeting in Seattle

Four presentations connected impedance, thermal-risk forecasting, SEI microscopy, lithium plating, and realistic 4680-cell testing.

Read the meeting update →

May 18, 2025 · Invited presentation

Invited battery-safety presentation at the 247th ECS Meeting in Montréal

Vitaliy Yurkiv presented work connecting experiments, multiphysics modeling, and Transformer-based thermal-runaway prediction.

Read the presentation update →

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