Benedikt Prifling

• K. Kuchler, B. Prifling, D. Schmidt, H. Markötter, I. Manke, T. Bernthaler, V. Knoblauch, and V. Schmidt, Analysis of the 3D microstructure of experimental cathode films for lithium-ion batteries under increasing compaction. Journal of Microscopy 272 (2018), 96-110.
• B. Prifling, D. Westhoff, D. Schmidt, H. Markötter, I. Manke, V. Knoblauch and V. Schmidt, Parametric microstructure modeling of compressed cathode materials for Li-ion batteries. Computational Materials Science 169 (2019), 109083.
• B. Prifling, A. Ridder, A. Hilger, M. Osenberg, I. Manke, K.P. Birke and V. Schmidt, Analysis of structural and functional aging of electrodes in lithium-ion batteries during rapid charge and discharge rates using synchrotron tomography. Journal of Power Sources 443 (2019), 227259.
• S. Hein, T. Danner, D. Westhoff, B. Prifling, R. Scurtu, L. Kremer, A. Hoffmann, A. Hilger, M. Osenberg, I. Manke, M. Wohlfahrt-Mehrens, V. Schmidt, A. Latz, Influence of conductive additives and binder on the impedance of lithium-ion battery electrodes: Effect of morphology. Journal of The Electrochemical Society 167 (2020), 013546.
• L. Kremer, T. Danner, S. Hein, A. Hoffmann, B. Prifling, V. Schmidt, A. Latz and M. Wohlfahrt-Mehrens, Influence of the electrolyte salt concentration on the rate capability of ultra-thick NCM 622 electrodes. Batteries & Supercaps 3 (2020), 1172-1182.
• L. Kremer, A. Hoffmann, T. Danner, S. Hein, B. Prifling, D. Westhoff, C. Dreer, A. Latz, V. Schmidt and M. Wohlfahrt-Mehrens, Manufacturing process for improved ultra-thick cathodes in high-energy Li-ion batteries. Energy Technology 8 (2020), 1900167.
• M. Landstorfer, B. Prifling and V. Schmidt, Mesh generation for periodic 3D microstructure models and computation of effective properties. Journal of Computational Physics 431 (2021) 110071.
• B. Prifling, M. Ademmer, F. Single, O. Benevolenski, A. Hilger, M. Osenberg, I. Manke and V. Schmidt, Stochastic 3D microstructure modeling of anodes in Lithium-ion batteries with a particular focus on local heterogeneities. Computational Materials Science 192 (2021), 110354.
• B. Prifling, M. Neumann, D. Hlushkou, C. Kübel, U. Tallarek and V. Schmidt, Generating digital twins of mesoporous silica by graph-based stochastic microstructure modeling. Computational Materials Science 187 (2021), 109934.
• B. Prifling, M. Röding, P. Townsend, M. Neumann and V. Schmidt, Large-scale statistical learning for mass transport prediction in porous materials using 90,000 artificially generated microstructures. Frontiers in Materials (in print)
• V. De Lauri, L. Krumbein, S. Hein, B. Prifling, V. Schmidt, T. Danner and A. Latz, Beneficial effects of 3D structured electrodes for the fast-charging of lithium-ion batteries. ACS Applied Energy Materials (in print)