Promise and Challenges of a Data-Driven Approach for Battery Lifetime Prognostics. - Valentin Sulzer; Peyman Mohtat; Suhak Lee; Jason B. Siegel; Anna G. Stefanopoulou (ACC, 2021)

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. - Kirill Zubov; Zoe McCarthy; Yingbo Ma; Francesco Calisto; Valerio Pagliarino; Simone Azeglio; Luca Bottero; Emmanuel Luján; Valentin Sulzer; Ashutosh Bharambe; Nand Vinchhi; Kaushik Balakrishnan; et al. (CoRR, 2021)

An Algorithmic Safety VEST For Li-ion Batteries During Fast Charging. - Peyman Mohtat; Sravan Pannala; Valentin Sulzer; Jason B. Siegel; Anna G. Stefanopoulou (CoRR, 2021)

Asymptotic Reduction of a Lithium-Ion Pouch Cell Model. - Robert Timms; Scott G. Marquis; Valentin Sulzer; Colin P. Please; S. Jonathan Chapman (SIAM J. Appl. Math., 2021)

Methodology for Accelerated Inter-Cycle Simulations of Li-ion Battery Degradation with Intra-Cycle Resolved Degradation Mechanisms. - Sravan Pannala; Valentin Sulzer; Jason B. Siegel; Anna G. Stefanopoulou (ACC, 2022)

Predicting the impact of formation protocols on battery lifetime immediately after manufacturing. - Andrew Weng; Peyman Mohtat; Peter M. Attia; Valentin Sulzer; Suhak Lee; Greg Less; Anna G. Stefanopoulou (CoRR, 2022)

A Non-intrusive Approach for Physics-constrained Learning with Application to Fuel Cell Modeling. - Vishal Srivastava; Valentin Sulzer; Peyman Mohtat; Jason B. Siegel; Karthik Duraisamy (CoRR, 2022)

liionpack: A Python package for simulating packs of batteries with PyBaMM. - Thomas G. Tranter; Robert Timms; Valentin Sulzer; Ferran Brosa Planella; Gavin M. Wiggins; Suryanarayana Vikrant Karra; Priyanshu Agarwal; Saransh Chopra; Srikanth Allu; Paul R. Shearing; Dan J. L. Brett (J. Open Source Softw., 2022)