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Martin Kröger
Prof Dr rer nat habil

Simplicity is the ultimate sophistication
Leonardo da Vinci (1452-1519)

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50%20most%20recent%20publications

50 selected entries (SCI, 20-04-2024)

2024

Article  
2.9/a Σ 1
J. Wen, J. Yang, M. Kröger, M. Ma, T. Hao, Z. Zhou, Y. Nie
Molecular details of catalytic effect of long chains on short chains in stretch-induced polymer crystallization
Macromolecules 57 (2024) 1612-1624
   [DOI:10.1021/acs.macromol.3c01541]
Article   R. Schlickeiser, M. Kröger
Mathematics of Epidemics: On the General Solution of SIRVD, SIRV, SIRD and SIR Compartment Models
Mathematics 12 (2024) 941
   [DOI:10.3390/math12070941]
Article  
2.9/a Σ 1
M.Kröger, R. Schlickeiser
On the analytical solution of the SIRV-model for the temporal evolution of epidemics for general time-dependent recovery, infection and vaccination rates
Mathematics 12 (2024) 326
   [DOI:10.3390/math12020326]
Article   N.A. Babei, M. Kröger, T. Özer
Theoretical analysis of a SIRD model with constant amount of alive population and Covid–19 applications
Appl. Math. Model. 127 (2024) 237-258
   [DOI:10.1016/j.apm.2023.12.006]

2023

Article  
1.1/a Σ 1
R. Schlickeiser, M. Kröger
Analytical solution of the Susceptible-Infected-Recovered/Removed model for the not too late temporal evolution of epidemics for general time-dependent recovery and infection rates
Covid 3 (2023) 1781-1796
   [DOI:10.3390/covid3120123]
Article  
1.1/a Σ 1
R. Schlickeiser, M. Kröger
Key epidemic parameters of the SIRV model determined from past Covid-19 mutant waves
Covid 3 (2023) 592-600
   [DOI:10.3390/covid3040042]
Article  
2.3/a Σ 2
R. Schlickeiser, M. Kröger
Determination of a key pandemic parameter of the SIR-epidemic model from past Covid-19 mutant waves and its variation for the validity of the Gaussian evolution
Physics 5 (2023) 205-214
   [DOI:10.3390/physics5010016]
Article   F. Nakai, M. Kröger, T. Ishida, T. Uneyama, Y. Doi, Y. Masubuchi
Increase of rod diffusivity emerges even in Markovian nature
Phys. Rev. E 107 (2023) 044604
   [DOI:10.1103/PhysRevE.107.044604]
Article  
1.1/a Σ 1
T. Li, E.R. Dufresne, M.Kröger, S. Heyden
Siloxane molecules: Nonlinear elastic behavior and fracture characteristics
Macromolecules 56 (2023) 1303-1310
   [DOI:10.1021/acs.macromol.2c02576]
Article  
26./a Σ 22
M. Kröger, J.D. Dietz, R.S. Hoy, C. Luap
The Z1+package: Shortest multiple disconnected path for the analysis of entanglements in macromolecular systems
Comput. Phys. Commun. 283 (2023) 108567
   [DOI:10.1016/j.cpc.2022.108567]
Article  
1.1/a Σ 1
A.V. Karatrantos, C. Mugemana, L. Bouhala, N. Clarke, M. Kröger
From ionic nanoparticle organic hybrids to ionic nanocomposites: Structure, dynamics, and properties: A review
Nanomater. 13 (2023) 2
   [DOI:10.3390/nano13010002]
Article   P. Ilg, M. Kröger
Field- and concentration-dependent relaxation of magnetic nanoparticles and optimality conditions for magnetic fluid hyperthermia
Sci. Rep. 13 (2023) 16523
   [DOI:10.1038/s41598-023-43140-8]
Article   A.A. Galata, M. Kröger
Globular proteins and where to find them within a polymer brush – A case study
Polymers 15 (2023) 2407
   [DOI:10.3390/polym15102407]
Article  
1.1/a Σ 1
E.N.M. Cirillo, M. Colangeli, M. Kröger, L. Rondoni
Non-equilibrium phase transitions in feedback-controlled 3D particle dynamics
Phys. Rev. Res. 5 (2023) 043063
   [DOI:10.1103/PhysRevResearch.5.043063]
Article   G. Chen, L. Tao, M. Kröger, Y. Li
Inverse Hall-Petch effect in nanocrystalline ice predicted by machine-learned coarse-grained molecular simulations
J. Micromech. Molec. Phys. 8 (2023) 1-10
   [DOI:10.1142/S2424913022500011]
Article  
2.3/a Σ 2
S. Agrawal, S. Galmarini, M. Kröger
Voronoi tessellation-based algorithm for determining rigorously defined classical and generalized geometric pore size distributions
Phys. Rev. E 107 (2023) 015307
   [DOI:10.1103/PhysRevE.107.015307]

2022

Article  
2.7/a Σ 5
O. Weismantel, A.A. Galata, M. Sadeghi, A. Kröger, M. Kröger
Efficient generation of self-avoiding, semiflexible rotational isomeric chain ensembles in bulk, in confined geometries, and on surfaces
Comput. Phys. Commun. 270 (2022) 108176
   [DOI:10.1016/j.cpc.2021.108176]
Article  
2.7/a Σ 5
R. Schlickeiser, M. Kröger
Forecast of omicron wave time evolution
Covid 2 (2022) 216-229
   [DOI:10.3390/covid2030017 ]
Article  
1.6/a Σ 3
M. Sadeghi, M.H. Saidi, M. Kröger, M. Tagliazucchi
Stimuli-responsive polyelectrolyte brushes for regulating streaming current magnetic field and energy conversion efficiency in soft nanopores
Phys. Fluids 34 (2022) 082022
   [DOI:10.1063/5.0101738]
Article  
2.1/a Σ 4
C. Mugemana, A. Moghimikheirabadi, D. Arl, F. Addiego, D. F. Schmidt, M. Kröger, A. V. Karatrantos
Ionic polydimethylsiloxane-silica nanocomposites: Dispersion and self-healing
MRS Bull. 47 (2022) 1
   [DOI:10.1557/s43577-022-00346-x]
Article  
1.0/a Σ 2
M. Kröger, R. Schlickeiser
SIR-solution for slowly time-dependent ratio between recovery and infection rates
Physics 4 (2022) 504-524
   [DOI:10.3390/physics4020034]
Article  
1.6/a Σ 3
M. Kröger, P. Ilg
Combined dynamics of magnetization and particle rotation of a suspended superparamagnetic particle in the presence of an orienting field: Semi-analytical and numerical solution
Math. Mod. Meth. Appl. Sci. 32 (2022) 1349-1383
   [DOI:10.1142/S0218202522500300]
Article  
0.5/a Σ 1
A.V. Karatrantos, J. Khantaveramongkol, M. Kröger
Structure and diffusion of ionic PDMS melts
Polymers 14 (2022) 3070
   [DOI:10.3390/polym14153070]
Article  
2.7/a Σ 5
P. Ilg, M. Kröger
Longest relaxation time versus maximum loss peak in the field-dependent longitudinal dynamics of suspended magnetic nanoparticles
Phys. Rev. B 106 (2022) 134433
   [DOI:10.1103/PhysRevB.106.134433]
Article  
2.1/a Σ 4
F. Haas, M. Kröger, R. Schlickeiser
Multi-Hamiltonian structure of the epidemics model accounting for vaccinations and a suitable test for the accuracy of its numerical solvers
J. Phys. A 55 (2022) 225206
   [10.1088/1751-8121/ac6995]
Article  
4.9/a Σ 9
J.D. Dietz, M. Kröger, R.S. Hoy
Validation and refinement of unified analytic model for flexible and semiflexible polymer melt entanglement
Macromolecules 55 (2022) 3613-3626
   [DOI:10.1021/acs.macromol.1c02597]
Article  
1.0/a Σ 2
E.N.M. Cirillo, M. Colangeli, A. Di Francesco, M. Kröger, L. Rondoni
Transport and nonequilibrium phase transitions in polygonal urn models
Chaos 32 (2022) 093127
   [DOI:10.1063/5.0101933]

2021

Article  
2.8/a Σ 8
Y.R. Sliozberg, M. Kröger, T.C. Henry, S. Datta, D.B. Lawrence, A.J. Hall, A. Chattopadhyay
Computational design of shape memory polymer nanocomposites
Polymer 217 (2021) 123476
   [DOI:10.1016/j.polymer.2021.123476]
Article  
3.8/a Σ 11
Z. Shen, H. Ye, Q. Wang, M. Kröger, Y. Li
Sticky Rouse time features the self-healing of supramolecular polymer networks
Macromolecules 54 (2021) 5053-5064
   [DOI:10.1021/acs.macromol.1c00335]
Article  
1.0/a Σ 3
R. Schlickeiser, M. Kröger
Reasonable limiting of 7-day incidence per hundred thousand value and herd immunization in Germany and other countries
Covid 1 (2021) 130-136
   [DOI:10.3390/covid1010012]
Article  
7.0/a Σ 20
R. Schlickeiser, M. Kröger
Analytical modeling of the temporal evolution of epidemics outbreaks accounting for vaccinations
Physics 3 (2021) 386-426
   [DOI:10.3390/physics3020028]
Article  
11./a Σ 34
R. Schlickeiser, M. Kröger
Analytical solution of the SIR-model for the temporal evolution of epidemics. Part B. Semi-time case
J. Phys. A: Math. Theor. 54 (2021) 175601
   [DOI:10.1088/1751-8121/abed66]
Article  
2.1/a Σ 6
R. Schlickeiser, M. Kröger
Epidemics forecast from SIR-modeling, verification and calculated effects of lockdown and lifting of interventions
Frontiers Phys. 8 (2021) 593421
   [DOI:10.3389/fphy.2020.593421]
Article  
5.6/a Σ 16
M. Pourali, M. Kröger, J. Vermant, P.D. Andersson, N.O. Jaensson
Drag on a spherical particle at the air-liquid interface: Interplay between compressibility, Marangoni flow, and surface viscosities
Phys. Fluids 33 (2021) 062103
   [DOI:10.1063/5.0050936]
Article  
0.3/a Σ 1
M.Pourali, N.O. Jaensson, M. Kröger
Drag on a spheroidal particle at clean and surfactant-laden interfaces: effects of particle aspect ratio, contact angle and surface viscosities
J. Fluid Mech. 924 (2021) A30
   [DOI:10.1017/jfm.2021.636]
Article  
3.1/a Σ 9
A. Moghimikheirabadi, A.V. Karatrantos, M. Kröger
Ionic polymer nanocomposites subjected to uniaxial extension: A nonequilibrium molecular dynamics study
Polymers 13 (2021) 4001
   [DOI:10.3390/polym13224001]
Article  
6.7/a Σ 19
A. Moghimikheirabadi, M. Kröger, A.V. Karatrantos
Insights from modeling into structure, entanglements, and dynamics in attractive polymer nanocomposites
Soft Matter 17 (2021) 6362-6373
   [DOI:10.1039/d1sm00683e]
Article  
2.4/a Σ 7
M. Kröger, R. Schlickeiser
Verification of the accuracy of the SIR model in forecasting based on the improved SIR model with a constant ratio of recovery to infection rate by comparing with monitored second wave data
R. Soc. Open Sci. 8 (2021) 211379
   [DOI:10.1098/rsos.211379]
Article  
4.9/a Σ 14
M. Kröger, M. Turkyilmazoglu, R. Schlickeiser
Explicit formulae for the peak time of an epidemic from the SIR model. Which approximant to use?
Physica D 425 (2021) 132981
   [DOI:10.1016/j.physd.2021.132981]
Article   M. Kröger
Top cited 2018-2019 papers in the section Polymer Theory and Simulation (Editorial)
Polymers 13 (2021) 43
   [DOI:10.3390/polym13010043]
Article  
11./a Σ 33
L. Alvarez, M.A. Fernandez-Rodriguez, A. Alegria, S. Arrese-Igor, K. Zhao, M. Kröger, L. Isa
Reconfigurable artificial microswimmers with internal feedback
Nat. Commun. 12 (2021) 4762
   [DOI:10.1038/s41467-021-25108-2]

2020

Article  
1.5/a Σ 6
X. Shang, M. Kröger
Time correlation functions of equilibrium and nonequilibrium Langevin dynamics: Derivations and numerics using random numbers
SIAM Rev. 62 (2020) 901-935
   [DOI:10.1137/19M1255471]
Article  
9.3/a Σ 36
J. Schüttler, R. Schlickeiser, F. Schlickeiser, M. Kröger
Covid-19 predictions using a Gauss model, based on data from April 2
Physics 2 (2020) 197-212
   [10.3390/physics2020013]
Article   R. Schlickeiser, M. Kröger
First consistent determination of the basic reproduction number for the first Covid-19 wave in 71 countries from the SIR-epidemics model with a constant ratio of recovery to infection rate
Global J. Front. Res. F 20 (2020) 37-43
   [DOI:10.34257/GJSFRFVOL20IS8PG37]
Article   R. Schlickeiser, M. Kröger
Dark numbers and herd immunity of the first Covid-19 wave and future social interventions
Epidem. Int. J. 4 (2020) 000152
   [DOI:10.23880/eij-16000152]


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