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Joachim Schaeffer
Joachim Schaeffer
PhD Student, jointly supervised at Technical University of Darmstadt and MIT
Verified email at iat.tu-darmstadt.de
Title
Cited by
Cited by
Year
Machine learning benchmarks for the classification of equivalent circuit models from electrochemical impedance spectra
J Schaeffer, P Gasper, E Garcia-Tamayo, R Gasper, M Adachi, ...
Journal of The Electrochemical Society 170 (6), 060512, 2023
132023
Latent Variable Method Demonstrator—software for understanding multivariate data analytics algorithms
J Schaeffer, RD Braatz
Computers & Chemical Engineering 167, 108014, 2022
52022
Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data
J Schaeffer, E Lenz, WC Chueh, MZ Bazant, R Findeisen, RD Braatz
Computers & Chemical Engineering 180, 108471, 2024
22024
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
J Schaeffer, G Galuppini, J Rhyu, PA Asinger, R Droop, R Findeisen, ...
arXiv preprint arXiv:2404.04049, 2024
12024
Accounting for the Effects of Probabilistic Uncertainty During Fast Charging of Lithium-ion Batteries
M Kim, J Schaeffer, MD Berliner, BP Sagnier, R Findeisen, RD Braatz
arXiv preprint arXiv:2405.01681, 2024
2024
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging
S Hirt, A Höhl, J Schaeffer, J Pohlodek, RD Braatz, R Findeisen
arXiv preprint arXiv:2404.06125, 2024
2024
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