Conference Schedule

October 15-16, 2026. Download the schedule (PDF).

Day 1Thursday, October 15

Hands-on Training Session

Ionworks

Opening Talk

Valentin Sulzer, Ionworks

Keynote

Greg Offer, Imperial College London

Session 1: Physics Based Degradation Models

  • Hidden Heterogeneity, Distorted Parameters: Assessing the Limits of 1D DFN Aging ModelsMohammed Asheruddin Nazeeruddin, Imperial College London
  • Mechanistic Modelling of Capacity Fade and Electrode Volume Evolution in Li-S BatteriesPrakhar Verma, Imperial College London
  • Extending PyBaMM to Composition-Dependent Electrolytes Design through Coupling with the Advanced Electrolyte ModelJingwen Weng, Imperial College London
  • A Vacancy-Assisted Cation-Mixing Model for High-Ni CellsSravan Pannala, University of Michigan

Invited Talk

Birger Horstmann, German Aerospace Center (DLR)

Lunch & Posters

Session 2: Thermal and Reduced-Order Models

  • Physics-based Core-Surface Thermal ModelsMark Blyth, University of Bristol
  • Design Maps for Blended and Bilayer NMC622/LFP Cathodes in Fast-Charging Li-ion CellsFiyanshu Kaka, University of Oxford
  • A PyBaMM-Implemented Reduced-Order Model for SiO/Graphite Blended ElectrodesMingjie Tu, General Motors

Industry Panel

Session 3: Data Driven Models

  • Physics-Informed Degradation Mapping and Surrogates for Second-Life Battery AssessmentAli Hassan, University of Michigan
  • From Deterministic Microstructure Solvers to Operator-Learned Inverse Design of Porous ElectrodesConrard Giresse Tetsassi Feugmo, University of Waterloo
  • Battery Lifetime Prediction Beyond Experimental Data with PyBaMMHanyu Bai, University of Michigan
  • Universal Battery Voltage Predictor Using Sim-to-Real Transfer LearningTanushree Roy, Texas Tech University
Day 2Friday, October 16

Hands-on Training Session

Ionworks

Keynote Talk

Alexander Bills, Ionworks

Session 3: System Level Models

  • Onboard material-level diagnostics for tracking Si burn-out in Si-graphite batteriesZhiwen Wan, University of Michigan
  • A Monte-Carlo Framework for Benchmarking Battery SoH Estimation AlgorithmsElias Hempen, ISEA RWTH Aachen
  • Integrating Physics-Based Battery Models with Gradient-Based Electric Aircraft DesignAmal Sebastian, University of Michigan

Invited Talk

TBC

Session 4: Na-ion and Volume Expansion

  • Physics-Based Swelling Prediction for Consumer Electronics BatteriesThanh-Son Dao, Microsoft Corporation
  • Temperature-Dependent Degradation Modeling of HC||NVPF Na-Ion BatteriesZhu Zhu, Purdue University
  • Physics-Based Modeling of an NVP/Hard Carbon Sodium-Ion Cell in PyBaMMShubham Khange, Aalto University

Closing Talk