Concepedia

Joachim Schaeffer

JS

5

Publications

91

Citations

5

H-Index

2022

Active since

Affiliations

Massachusetts Institute of Technology(Current)

Technical University of Darmstadt

Stanford University

Joachim Schaeffer is an author at Massachusetts Institute of Technology specializing in data science, statistics, and latent variable methods.

Top concepts

Data ScienceStatisticsEngineeringLatent Variable MethodsBusinessManagementRegressionData MiningData AnalysisData Modeling

Publications per year

2022–2025

5

Publications

5

Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra

Joachim Schaeffer, Paul Gasper, Esteban Garcia-Tamayo et al. · Journal of The Electrochemical Society · 2023 · 37 citations · Full text

Engineering, Machine Learning, Machine Learning Tool +19

Systematic feature design for cycle life prediction of lithium-ion batteries during formation

Jinwook Rhyu, Joachim Schaeffer, Michael L. Li et al. · Joule · 2025 · 16 citations

Latent Variable Method Demonstrator — software for understanding multivariate data analytics algorithms

Joachim Schaeffer, Richard D. Braatz · Computers & Chemical Engineering · 2022 · 13 citations

Data Modeling, Univariate Analysis, Latent Modeling +10

Gaussian process-based online health monitoring and fault analysis of lithium-ion battery systems from field data

Joachim Schaeffer, Eric Lenz, Duncan Gulla et al. · Cell Reports Physical Science · 2024 · 13 citations · Full text

Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data

Joachim Schaeffer, Eric Lenz, William C. Chueh et al. · Computers & Chemical Engineering · 2023 · 12 citations · Full text

Engineering, High-dimensional Linear Regression, Data Science +7

Rows per page

1–5 of 5