Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms. - Joachim Schaeffer; Richard D. Braatz (Comput. Chem. Eng., 2022)

Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. - Joachim Schaeffer; Paul Gasper; Esteban García Tamayo; Raymond Gasper; Masaki Adachi; Juan Pablo Gaviria-Cardona; Simon Montoya-Bedoya; Anoushka Bhutani; Andrew Schiek; Rhys Goodall; Rolf Findeisen; Richard D. Braatz; et al. (CoRR, 2023)

Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. - Minsu Kim; Joachim Schaeffer; Marc D. Berliner; Berta Pedret Sagnier; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. - Joachim Schaeffer; Giacomo Galuppini; Jinwook Rhyu; Patrick A. Asinger; Robin Droop; Rolf Findeisen; Richard D. Braatz (ACC, 2024)

Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. - Sebastian Hirt; Andreas Höhl; Joachim Schaeffer; Johannes Pohlodek; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. - Sebastian Hirt; Andreas Höhl; Johannes Pohlodek; Joachim Schaeffer; Maik Pfefferkorn; Richard D. Braatz; Rolf Findeisen (CoRR, 2024)

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. - Jinwook Rhyu; Joachim Schaeffer; Michael L. Li; Xiao Cui; William C. Chueh; Martin Z. Bazant; Richard D. Braatz (CoRR, 2024)

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. - Joachim Schaeffer; Eric Lenz; William C. Chueh; Martin Z. Bazant; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2024)

Lithium-Ion Battery Field Data: 28 LFP battery systems with 8 cells in series, up to 5 years of operation. - Joachim Schaeffer; Eric Lenz; Duncan Gulla; Martin Z. Bazant; Richard D. Braatz; Rolf Findeisen (Zenodo, 2024)

Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features. - Joachim Schaeffer; Jinwook Rhyu; Robin Droop; Rolf Findeisen; Richard D. Braatz (Comput. Chem. Eng., 2025)

Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. - Jinwook Rhyu; Joachim Schaeffer; Michael L. Li; Xiao Cui; William C. Chueh; Martin Z. Bazant; Richard D. Braatz (Zenodo, 2025)

Diagnostic-free onboard battery health assessment. - Yunhong Che; Vivek N. Lam; Jinwook Rhyu; Joachim Schaeffer; Minsu Kim; Martin Z. Bazant; William C. Chueh; Richard D. Braatz (CoRR, 2025)

Transformers Don't Need LayerNorm at Inference Time: Scaling LayerNorm Removal to GPT-2 XL and the Implications for Mechanistic Interpretability. - Luca Baroni; Galvin Khara; Joachim Schaeffer; Marat Subkhankulov; Stefan Heimersheim (CoRR, 2025)