2023 - Research.com Mathematics in Germany Leader Award
2022 - Research.com Mathematics in Germany Leader Award
Statistical physics, Attractor, Critical exponent, Mathematical analysis and Entropy are his primary areas of study. The study incorporates disciplines such as Particle density, Chaotic, Logarithm, Percolation and Finite volume method in addition to Statistical physics. His Attractor research includes elements of Discrete mathematics, Fractal dimension, Correlation dimension, Lyapunov exponent and Hausdorff dimension.
His Correlation dimension research is multidisciplinary, relying on both Algorithm, Correlation integral and Correlation sum. His biological study deals with issues like Monte Carlo method, which deal with fields such as Directed percolation and Percolation critical exponents. His Mathematical analysis study incorporates themes from Scattering, Correlation entropy, Plane, Hénon map and Many-body problem.
Peter Grassberger mainly focuses on Statistical physics, Scaling, Monte Carlo method, Critical exponent and Phase transition. As part of the same scientific family, he usually focuses on Statistical physics, concentrating on Directed percolation and intersecting with Percolation critical exponents. He works mostly in the field of Scaling, limiting it down to topics relating to Combinatorics and, in certain cases, Discrete mathematics.
His Monte Carlo method study is mostly concerned with Dynamic Monte Carlo method, Hybrid Monte Carlo, Monte Carlo algorithm and Quantum Monte Carlo. His research in Dynamic Monte Carlo method focuses on subjects like Monte Carlo molecular modeling, which are connected to Monte Carlo method in statistical physics. His work carried out in the field of Critical exponent brings together such families of science as Square lattice, Partition and Critical point.
The scientist’s investigation covers issues in Statistical physics, Scaling, Percolation, Phase transition and Combinatorics. Peter Grassberger integrates Statistical physics with Cooperativity in his research. The Scaling study combines topics in areas such as Fractal dimension, Renormalization, Power law, Path and Line.
He has included themes like Omega, Rational number, Geometry, Roughness exponent and Stationary state in his Fractal dimension study. His Phase transition research incorporates elements of Fractal and Monomer. His work carried out in the field of Quantum mechanics brings together such families of science as Transfer matrix and Mathematical analysis.
Statistical physics, Phase transition, Percolation, Mutual information and Probability and statistics are his primary areas of study. His Statistical physics research incorporates themes from Continuum percolation theory, Power law and Intrinsic dimension. His biological study spans a wide range of topics, including Discrete mathematics, Phase diagram, Lattice, Fractal and Monte Carlo method.
His work deals with themes such as Polymer physics, Mathematical analysis, Ising model and Weight distribution, which intersect with Lattice. His Monte Carlo method study integrates concerns from other disciplines, such as Transfer matrix, Logarithm and Entropy, Quantum mechanics. His Mutual information research is multidisciplinary, incorporating perspectives in Random variable and Metric.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Measuring the Strangeness of Strange Attractors
Peter Grassberger;Peter Grassberger;Itamar Procaccia.
Physica D: Nonlinear Phenomena (1983)
Characterization of Strange Attractors
Peter Grassberger;Itamar Procaccia.
Physical Review Letters (1983)
Estimating mutual information.
Alexander Kraskov;Harald Stögbauer;Peter Grassberger.
Physical Review E (2004)
Estimation of the Kolmogorov entropy from a chaotic signal
Peter Grassberger;Itamar Procaccia.
Physical Review A (1983)
Generalized dimensions of strange attractors
Peter Grassberger.
Physics Letters A (1983)
Reduction of the three-particle collision problem to multi-channel two-particle Lippmann-Schwinger equations
E.O. Alt;P. Grassberger;W. Sandhas.
Nuclear Physics (1967)
Performance of different synchronization measures in real data: A case study on electroencephalographic signals
R. Quian Quiroga;A. Kraskov;T. Kreuz;T. Kreuz;P. Grassberger.
Physical Review E (2002)
Dimensions and entropies of strange attractors from a fluctuating dynamics approach
P. Grassberger;I. Procaccia.
Physica D: Nonlinear Phenomena (1984)
Toward a Quantitative Theory of Self-Generated Complexity
Peter Grassberger.
International Journal of Theoretical Physics (1986)
NONLINEAR TIME SEQUENCE ANALYSIS
Peter Grassberger;Thomas Schreiber;Carsten Schaffrath.
International Journal of Bifurcation and Chaos (1991)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Bonn
Max Planck Institute for the Physics of Complex Systems
University of Aberdeen
University Hospital Bonn
University of Bonn
ESPCI Paris
University of Paris-Sud
Norwegian University of Science and Technology
Indian Institute of Science Education and Research Pune
Ruhr University Bochum
University of Michigan–Ann Arbor
Harvard University
University of Neuchâtel
Lawrence Berkeley National Laboratory
University of Twente
Kyoto University
Zoological Society of London
ImmunoGen (United States)
University of Burgundy
Wageningen University & Research
Tufts University
Nuvu2, Inc.
Uppsala University
Iowa State University
Cedars-Sinai Medical Center
Cancer Council Victoria