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Details

Stefan Christian Endres

Research Scientist

Departments: Processing of functional materials , Process Engineering

Phone
+49 421 218 51238
Email
s.endres@iwt.uni-bremen.de
Office
Leibniz-Institut für Werkstofforientierte Technologien - IWT
FZB - Room 1490
Badgasteiner Str. 3
28359 Bremen
           

Personal data

Research profiles

Process engineering
Multiphase liquid-surface interfaces
Nanoparticles
Global optimization
 

Academic education with degree

2018M. Eng. (Chemical Engineering) with distinction

Dissertation title: ”A simplicial homology algorithm for Lipschitz optimisation”

Advisers: Prof. Walter Focke, Dr. Carl Sandrock
External examiner: Prof. John Hedengren (Brigham Young University), Internal examiner: Prof. Daniel Wilke
 
2016B. Eng. (Honours) Chemical Engineering
 
2015B. Eng. (Chemical Engineering)


Professional career since graduation

Since 2019Research scientist in the Department of Process Engineering, Faculty of Production Engineering at the University of Bremen with Prof. Lutz Mädler
 
2018 – 2019Assistant lecturer (process control) at University of Pretoria and Research Scientist (Institute of Applied Materials (IAM), Pretoria, South Africa)
 
2014 – 2015Process Engineer, Sappi Ltd., Sappi Technology Centre Innovation Hub

Latest 10 publications

  • Endres, S., Mädler, L. 2023.
    Asymmetric Three-Phase Surface Tension Forces in Agglomerating Particulate Systems. Chemie Ingenieur Technik. , DOI: 10.1002/cite.202200128. OPEN ACCESS
  • Endres, S., Mädler, L. 2023.
    Asymmetric Three-Phase Surface Tension Forces in Agglomerating Particulate Systems . Chemie Ingenieur Technik. 95 (1-2), 278-283. DOI: 10.1002/cite.202200128. OPEN ACCESS
  • Endres, S., Avila, M., Mädler, L. 2022.
    A discrete differential geometric formulation of multiphase surface interfaces for scalable multiphysics equilibrium simulations. Chemical Engineering Science. 257 , 117681. DOI: 10.1016/j.ces.2022.117681. OPEN ACCESS
  • Endres, S., Ciacchi, L. C., Mädler, L. 2021.
    A review of contact force models between nanoparticles in agglomerates, aggregates, and films. Journal of Aerosol Science. 153 , 1-39. DOI: 10.1016/j.jaerosci.2020.105719. OPEN ACCESS
  • Fadnavis, S., Endres, S., Wen, Q., Wu, Y.-C., Cheng, H., Koudoro, S., Rane, S., Rokem, A., Garyfallidis, E. 2021.
    Bifurcated Topological Optimization for IVIM. Frontiers in Neuroscience. 15 ,
  • De Luca, A., Ianus, A., Leemans, A., Palombo, M., Shemesh, N., Zhang, H., Alexander, D. C., Nilsson, M., Froeling, M., Biessels, G.-J., Zucchelli, M., Frigo, M., Albay, E., Sedlar, S., Alimi, A., Deslauriers-Gauthier, S., Deriche, R., Fick, R., Afzali, M., Pieciak, T., Bogusz, F., Aja-Fernández, S., Özarslan, E., Jones, D. K., Chen, H., Jin, M., Zhang, Z., Wang, F., Nath, V., Parvathaneni, P., Morez, J., Sijbers, J., Jeurissen, B., Fadnavis, S., Endres, S., Rokem, A., Garyfallidis, E., Sanchez, I., Prchkovska, V., Rodrigues, P., Landman, B. A., Schilling, K. G. 2021.
    On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage. 240 , 118367. DOI: 10.1016/j.neuroimage.2021.118367.