Joachim Schaeffer

About

Joachim Schaeffer holds a M.Sc from ETH Zurich in Energy Science and Technology. He is currently pursuing a Ph.D. in the field of batteries and machine learning, and is jointly supervised by Prof. Richard Braatz from MIT and Prof. Dr. Rolf Findeisen from TU Darmstadt.

Employment

• TU Darmstadt PhD Student
  2021 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Battery aging assessment: from critical insights to enhanced diagnosis
  Energy & Environmental Science 2026 DOI: 10.1039/D5EE06439B
  +Save
• Interpretation of high-dimensional regression coefficients by comparison with linearized compressing features
  Computers & Chemical Engineering 2025 DOI: 10.1016/j.compchemeng.2025.109099
  +Save
• Aging matrix visualizes complexity of battery aging across hundreds of cycling protocols
  Energy & Environmental Science 2025 DOI: 10.1039/D4EE05609D
  +Save
• Fast Charging of Lithium-Ion Batteries While Accounting for Degradation and Cell-to-Cell Variability
  Journal of The Electrochemical Society 2024 DOI: 10.1149/1945-7111/ad76dd
  +Save
• Interpretation of high-dimensional linear regression: Effects of nullspace and regularization demonstrated on battery data
  Computers & Chemical Engineering 2024 DOI: 10.1016/j.compchemeng.2023.108471
  +Save
• Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
  2024 DOI: 10.48550/ARXIV.2404.04049
  +Save
• Machine Learning Benchmarks for the Classification of Equivalent Circuit Models from Electrochemical Impedance Spectra
  Journal of The Electrochemical Society 2023 DOI: 10.1149/1945-7111/acd8fb
  +Save
• Latent Variable Method Demonstrator — software for understanding multivariate data analytics algorithms
  Computers & Chemical Engineering 2022 DOI: 10.1016/j.compchemeng.2022.108014
  +Save