Knorr, T.; Hein, S.; Prifling, B.; Neumann, M.; Danner, T.; Schmidt, V.; Latz, A.
Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries. Energies 2022, 15, 7821.
https://doi.org/10.3390/en15217821
AMA Style
Knorr T, Hein S, Prifling B, Neumann M, Danner T, Schmidt V, Latz A.
Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries. Energies. 2022; 15(21):7821.
https://doi.org/10.3390/en15217821
Chicago/Turabian Style
Knorr, Tobias, Simon Hein, Benedikt Prifling, Matthias Neumann, Timo Danner, Volker Schmidt, and Arnulf Latz.
2022. "Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries" Energies 15, no. 21: 7821.
https://doi.org/10.3390/en15217821
APA Style
Knorr, T., Hein, S., Prifling, B., Neumann, M., Danner, T., Schmidt, V., & Latz, A.
(2022). Simulation-Based and Data-Driven Techniques for Quantifying the Influence of the Carbon Binder Domain on Electrochemical Properties of Li-Ion Batteries. Energies, 15(21), 7821.
https://doi.org/10.3390/en15217821