Publikationen | AK Kremer

Fiorentini, R.; Kremer, K.; Potestio, R.: Ligand-protein interactions in lysozyme investigated through a dual-resolution model. Proteins: Structure, Function, and Bioinformatics (2020)

Zhao, Y.; Cortes-Huerto, R.; Kremer, K.; Rudzinski, J. F.: Investigating the Conformational Ensembles of Intrinsically Disordered Proteins with a Simple Physics-Based Model. The Journal of Physical Chemistry B 124 (20), S. 4097 - 4113 (2020)

Heidari, M.; Kremer, K.; Golestanian, R.; Potestio, R.; Cortes Huerto, R.: Open-boundary Hamiltonian adaptive resolution. From grand canonical to non-equilibrium molecular dynamics simulations. The Journal of Chemical Physics 152 (19), 194104 (2020)

Barnett, W.; Bilchak, C. R.; Wang, Y.; Benicewicz, B. C.; Murdock, L. A.; Bereau, T.; Kumar, S. K.: Designing exceptional gas-separation polymer membranes using machine learning. Science Advances 6 (20), eaaz4301 (2020)

Kumari, K.; Dünweg, B.; Padinhateeri, R.; Prakash , J. R.: Computing 3D Chromatin Configurations from Contact Probability Maps by Inverse Brownian Dynamics. Biophysical Journal 118 (9), S. 2193 - 2208 (2020)

Zhang, K.; Wang, Z.; Marszalek, T.; Borkowski, M.; Fytas, G.; Blom, P.; Pisula, W.: Key role of the meniscus shape in crystallization of organic semiconductors during meniscus-guided coating. Materials Horizons 7 (6), S. 1631 - 1640 (2020)

Cang, Y.; Wang, Z.; Bishop, C.; Yu, L.; Ediger, M. D.; Fytas, G.: Extreme Elasticity Anisotropy in Molecular Glasses. Advanced Functional Materials, 2001481 (2020)

Centi, A.; Dutta, A.; Parekh, S. H.; Bereau, T.: Inserting Small Molecules across Membrane Mixtures: Insight from the Potential of Mean Force. Biophysical Journal 118 (6), S. 1321 - 1332 (2020)

Zhao, Y.; Singh, M. K.; Kremer, K.; Cortes-Huerto, R.; Mukherji, D.: Why Do Elastin-Like Polypeptides Possibly Have Different Solvation Behaviors in Water-Ethanol and Water-Urea Mixtures? Macromolecules 53 (6), S. 2101 - 2110 (2020)

Wehner, J.; Baumeier, B.: Multiscale simulations of singlet and triplet exciton dynamics in energetically disordered molecular systems based on many-body Green's functions theory. New Journal of Physics 22 (3), 033033 (2020)

Joshi, B.; Zielbauer, B. I.; Vilgis, T. A.: Comparative Study on Mixing Behavior of Binary Mixtures of Cocoa Butter/Tristearin (CB/TS) and Cocoa Butter/Coconut Oil (CB/CO). Foods 9 (3), 327 (2020)

Mukherji, D.; Marques, C. M.; Kremer, K.: Smart Responsive Polymers: Fundamentals and Design Principles. Annual Review of Condensed Matter Physics ; Annual Reviews , Palo Alto, Calif. 11, S. 271 - 299 (2020)

Hoffmann, C.; Centi, A.; Menichetti, R.; Bereau, T.: Molecular dynamics trajectories for 630 coarse-grained drug-membrane permeations. Scientific Data 7 (1), 51 (2020)

Koch, A. H. R.; Morsbach, S.; Bereau, T.; Lévêque, G.; Butt, H.-J.; Deserno, M.; Landfester, K.; Fytas, G.: Probing Nanoparticle/Membrane Interactions by Combining Amphiphilic Diblock Copolymer Assembly and Plasmonics. The Journal of Physical Chemistry B 124 (5), S. 742 - 750 (2020)

Martínez, M.; Cooper, C. D.; Poma, A. B.; Guzman, H. V.: Free Energies of the Disassembly of Viral Capsids from a Multiscale Molecular Simulation Approach. Journal of Chemical Information and Modeling 60 (2), S. 974 - 981 (2020)

Chen, C.; Wunderlich, K.; Mukherji, D.; Koynov, K.; Heck, A.; Raabe, M.; Barz, M.; Fytas, G.; Kremer, K.; Ng, D. Y. W. et al.; Weil, T.: Precision Anisotropic Brush Polymers by Sequence Controlled Chemistry. Journal of the American Chemical Society 142 (3), S. 1332 - 1340 (2020)

Smrek, J.; Chubak, I.; Likos, C. N.; Kremer, K.: Active topological glass. Nature Communications 11 (1), 26 (2020)

Perdigon-Toro, L.; Zhang, H.; Markina, A.; Yuan, J.; Hosseini, S. M.; Wolff, C. M.; Zuo, G.; Stolterfoht, M.; Zou, Y.; Gao, F. et al.; Andrienko, D.; Shoaee, S.; Neher, D.: Barrierless Free Charge Generation in the High-Performance PM6:Y6 Bulk Heterojunction Non-Fullerene Solar Cell. Advanced Materials 32 (9), 1906763 (2020)

Pleiner, H.; Svensek, D.; Potisk, T.; Brand, H. R.: Macroscopic two-fluid effects in magnetorheological fluids. Physical Review E 101 (3), 032601 (2020)

Scherer, C.; Scheid, R.; Andrienko, D.; Bereau, T.: Kernel-Based Machine Learning for Efficient Simulations of Molecular Liquids. Journal of Chemical Theory and Computation 16 (5), S. 3194 - 3204 (2020)