Martin KrögerProf Dr rer nat habil
21 selected entries 2024 Article R. Schlickeiser, M. Kröger Mathematics of Epidemics: On the General Solution of SIRVD, SIRV, SIRD and SIR Compartment ModelsMathematics 12 (2024) 941 [DOI:10.3390/math12070941] Preprint N. Herard, R. Annapooranan, T. Henry, M. Kröger, S. Cai, N. Boechler, Y. Sliozberg Modeling liquid crystal elastomer synthesis, mechanics, and thermal actuation via coarse-grained molecular dynamicsSoft Matter (2024) submitted 3 May 2024 Preprint M. Carignano, M. Kröger, L. Almassalha, V. Agrawal, W.S. Li, E.M. Pujadas, R.J. Nap, V. Beckman, I. Szleifer Local volume concentration, packing domains and scaling properties of chromatineLife (2024) arXiv:2310.02257 submitted 9 Jan 2024 Preprint N.A. Babei, M. Kröger, T. Özer Dynamical Behavior of the SEIARM-COVID-19 related modelsPhysica D (2024) submitted 6 May 2024 Article N.A. Babei, M. Kröger, T. Özer Theoretical analysis of a SIRD model with constant amount of alive population and Covid–19 applicationsAppl. Math. Model. 127 (2024) 237-258 [DOI:10.1016/j.apm.2023.12.006] 2023 Article 1.0/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 ratesCovid 3 (2023) 1781-1796 [DOI:10.3390/covid3120123] Article 1.0/a Σ 1 R. Schlickeiser, M. Kröger Key epidemic parameters of the SIRV model determined from past Covid-19 mutant wavesCovid 3 (2023) 592-600 [DOI:10.3390/covid3040042] Article 2.1/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 evolutionPhysics 5 (2023) 205-214 [DOI:10.3390/physics5010016] 2022 Article 2.6/a Σ 5 R. Schlickeiser, M. Kröger Forecast of omicron wave time evolutionCovid 2 (2022) 216-229 [DOI:10.3390/covid2030017 ] 2021 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 countriesCovid 1 (2021) 130-136 [DOI:10.3390/covid1010012] Article 6.8/a Σ 20 R. Schlickeiser, M. Kröger Analytical modeling of the temporal evolution of epidemics outbreaks accounting for vaccinationsPhysics 3 (2021) 386-426 [DOI:10.3390/physics3020028] Article 2.0/a Σ 6 R. Schlickeiser, M. Kröger Epidemics forecast from SIR-modeling, verification and calculated effects of lockdown and lifting of interventionsFrontiers Phys. 8 (2021) 593421 [DOI:10.3389/fphy.2020.593421] Article 2.3/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 dataR. Soc. Open Sci. 8 (2021) 211379 [DOI:10.1098/rsos.211379] Article 4.7/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] 2020 Proc J. Schüttler, R. Schlickeisen, F. Schlickeisen, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Preprints (2020) 2020040175 [DOI:10.20944/preprints202004.0175.v1] Article 9.1/a Σ 36 J. Schüttler, R. Schlickeiser, F. Schlickeiser, M. Kröger Covid-19 predictions using a Gauss model, based on data from April 2Physics 2 (2020) 197-212 [10.3390/physics2020013] Book R. Schlickeiser, M. Kröger Physics Methods in Coronavirus Pandemic AnalysisPhysics (2020) Open Access »» 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 rateGlobal 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 interventionsEpidem. Int. J. 4 (2020) 000152 [DOI:10.23880/eij-16000152] Article 2.2/a Σ 9 M. Kröger, R. Schlickeiser Gaussian doubling times and reproduction factors of the COVID-19 pandemic diseaseFrontiers Phys. 8 (2020) 276 [DOI:10.3389/fphy.2020.00276] 2019 Proc T. Weber, G. Hofer, A. Simonov, M. Kröger, D. Schlüter Understanding two-dimensional polymerisation using Bragg and diffuse X-ray scatteringActa Cryst. 74 (2019) e427 132 (2010) 124904 [DOI:10.1063/1.3361674]
132 (2010) 124904 [DOI:10.1063/1.3361674]
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