Joachim Schaeffer

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 9

Top Topics

Gaussian Process

Handling Uncertainty

Linear Regression

Machine Learning

Top Venues

Comput. Chem. Eng.

Publications

Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR (2024)
Minsu Kim, Joachim Schaeffer, Marc D. Berliner, Berta Pedret Sagnier, Rolf Findeisen, Richard D. Braatz
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries. CoRR (2024)
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu, Patrick A. Asinger, Robin Droop, Rolf Findeisen, Richard D. Braatz
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. CoRR (2024)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180 (2024)
Joachim Schaeffer, Eric Lenz, Duncan Gulla, Martin Z. Bazant, Richard D. Braatz, Rolf Findeisen
Lithium-Ion Battery System Health Monitoring and Fault Analysis from Field Data Using Gaussian Processes. CoRR (2024)
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, Simon Engelke
Machine learning benchmarks for the classification of equivalent circuit models from solid-state electrochemical impedance spectra. CoRR (2023)
Joachim Schaeffer, Eric Lenz, William C. Chueh, Martin Z. Bazant, Rolf Findeisen, Richard D. Braatz
Interpretation of High-Dimensional Linear Regression: Effects of Nullspace and Regularization Demonstrated on Battery Data. CoRR (2023)
Joachim Schaeffer, Richard D. Braatz
Latent Variable Method Demonstrator - Software for Understanding Multivariate Data Analytics Algorithms. CoRR (2022)
Joachim Schaeffer, Richard D. Braatz
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms. Comput. Chem. Eng. 167 (2022)