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Joachim Schaeffer
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2020 – today
- 2024
- [j2]Joachim Schaeffer
, Eric Lenz
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data. Comput. Chem. Eng. 180: 108471 (2024) - [c2]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. ACC 2024: 763-768 - [c1]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. ACC 2024: 5339-5344 - [i9]Joachim Schaeffer
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More. CoRR abs/2404.04049 (2024) - [i8]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 abs/2404.06125 (2024) - [i7]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 abs/2405.01681 (2024) - [i6]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 abs/2406.19015 (2024) - [i5]Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen:
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. CoRR abs/2410.04982 (2024) - [i4]Jinwook Rhyu, Joachim Schaeffer, Michael L. Li, Xiao Cui, William C. Chueh, Martin Z. Bazant, Richard D. Braatz:
Systematic Feature Design for Cycle Life Prediction of Lithium-Ion Batteries During Formation. CoRR abs/2410.07458 (2024) - 2023
- [i3]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 abs/2302.03362 (2023) - [i2]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 abs/2309.00564 (2023) - 2022
- [j1]Joachim Schaeffer
Latent Variable Method Demonstrator - software for understanding multivariate data analytics algorithms. Comput. Chem. Eng. 167: 108014 (2022) - [i1]Joachim Schaeffer, Richard D. Braatz:
Latent Variable Method Demonstrator - Software for Understanding Multivariate Data Analytics Algorithms. CoRR abs/2205.08132 (2022)
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