Publications

Andrea Barth, and Franz G. Fuchs. UNCERTAINTY QUANTIFICATION FOR HYPERBOLIC CONSERVATION LAWS WITH FLUX COEFFICIENTS GIVEN BY SPATIOTEMPORAL RANDOM FIELDS. SIAM JOURNAL ON SCIENTIFIC COMPUTING, (38)4:A2209-A2231, SIAM PUBLICATIONS, 3600 UNIV CITY SCIENCE CENTER, PHILADELPHIA, PA 19104-2688 USA, 2016. [PUMA: hyperbolic field; field} finite Carlo quantification; Monte method; differential uncertainty random Ornstein-Uhlenbeck {stochastic volume flux equation; spatiotemporal Gaussian partial process; function;]

Colin W. Glass, Steffen Reiser, Gábor Rutkai, Stephan Deublein, Andreas Köster, Gabriela Guevara-Carrion, Amer Wafai, Martin Horsch, Martin Bernreuther, Thorsten Windmann, Hans Hasse, and Jadran Vrabec. ms2: A molecular simulation tool for thermodynamic properties, new version release. An International Journal and Program Library for Computational Physics and Physical Chemistry, (185)12:3302--3306, July 2014. [PUMA: myown SCOPE HLRS simulation Carlo Vapor--liquid Monte Molecular dynamics derivatives equilibrium Transport potential properties]

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, Jürgen Pleiss, Antje Spiess, and Nicole E. Radde. Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics. AIChE Journal, (n/a)n/a:e16866, 2019. [PUMA: thiamine-diphosphate-dependent kinetics, Markov chain profile enzymes residual Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, Jürgen Pleiss, Antje Spiess, and Nicole E. Radde. Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics. AIChE Journal, (n/a)n/a:e16866, 2019. [PUMA: thiamine-diphosphate-dependent kinetics, Markov chain profile enzymes residual from:ist_bib Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

Ina Eisenkolb, Antje Jensch, Kerstin Eisenkolb, Andrei Kramer, Patrick C. F. Buchholz, J�rgen Pleiss, Antje Spiess, and Nicole E. Radde. Modeling of biocatalytic reactions: A workflow for model calibration, selection, and validation using Bayesian statistics. AIChE Journal, (n/a)n/a:e16866, 2019. [PUMA: thiamine-diphosphate-dependent kinetics, Markov chain profile enzymes unchecked residual Monte Carlo, parameter estimation, analysis, likelihood, carboligation, enzyme] URL

Nicholas Metropolis, Arianna W. Rosenbluth, Marshall N. Rosenbluth, Augusta H. Teller, and Edward Teller. Equation of State Calculations by Fast Computing Machines. The Journal of Chemical Physics, (21)61953. [PUMA: chain metropolis carlo monte markov] URL