What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Statistics
- Mathematical analysis
Statistical physics, Molecular dynamics, Markov chain, Markov process and Markov model are his primary areas of study.
His Statistical physics study integrates concerns from other disciplines, such as Discretization, Sampling, Computation and State space.
His Molecular dynamics research incorporates themes from Representation, Metastability, Resolution, Function and Eigenvalues and eigenvectors.
His work investigates the relationship between Eigenvalues and eigenvectors and topics such as Stochastic differential equation that intersect with problems in Transfer operator.
His Markov chain study combines topics from a wide range of disciplines, such as Discrete mathematics, Theoretical computer science and Invariant.
His studies in Markov process integrate themes in fields like Mathematical analysis and Observable.
His most cited work include:
- Markov models of molecular kinetics: Generation and validation (707 citations)
- Constructing the equilibrium ensemble of folding pathways from short off-equilibrium simulations (561 citations)
- Hierarchical analysis of conformational dynamics in biomolecules: Transition networks of metastable states (322 citations)
What are the main themes of his work throughout his whole career to date?
Christof Schütte mostly deals with Statistical physics, Markov chain, Applied mathematics, Molecular dynamics and Dynamical systems theory.
The Statistical physics study combines topics in areas such as Markov process, State space, Path, Mathematical optimization and Transfer operator.
His study in Markov chain is interdisciplinary in nature, drawing from both Algorithm and Metastability.
Christof Schütte has researched Applied mathematics in several fields, including Stochastic process and Computation.
His studies deal with areas such as Curse of dimensionality, Tensor, Dynamic mode decomposition, Nonlinear system and Eigenvalues and eigenvectors as well as Dynamical systems theory.
His study in the field of Eigenfunction also crosses realms of Operator.
He most often published in these fields:
- Statistical physics (37.79%)
- Markov chain (24.10%)
- Applied mathematics (20.52%)
What were the highlights of his more recent work (between 2018-2021)?
- Statistical physics (37.79%)
- Applied mathematics (20.52%)
- Population (7.49%)
In recent papers he was focusing on the following fields of study:
Christof Schütte spends much of his time researching Statistical physics, Applied mathematics, Population, Markov chain and Limit.
The various areas that Christof Schütte examines in his Statistical physics study include State space, Path, Simple, Markov jump process and Transfer operator.
In his research on the topic of State space, Ergodic theory and Point is strongly related with Dynamical system.
His research in Applied mathematics intersects with topics in Discretization, Dynamical systems theory and Finite element method.
His research integrates issues of Pointwise convergence, Nonlinear system, Variable and System identification in his study of Dynamical systems theory.
Christof Schütte combines subjects such as Basis function, Asymptotic analysis, Algorithm, Likelihood function and Trajectory with his study of Markov chain.
Between 2018 and 2021, his most popular works were:
- Data-driven approximation of the Koopman generator: Model reduction, system identification, and control (29 citations)
- Data-driven approximation of the Koopman generator: Model reduction, system identification, and control (29 citations)
- Multidimensional Approximation of Nonlinear Dynamical Systems (22 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Statistics
- Mathematical analysis
His primary areas of investigation include Applied mathematics, Statistical physics, Stochastic differential equation, Dynamical systems theory and Nonlinear system.
His Applied mathematics research includes elements of Discretization, Reduced model and Finite element method.
His Statistical physics research includes themes of Work, Reaction–diffusion system, Molecular dynamics, Limit and Markov chain.
The Markov chain study combines topics in areas such as Dynamical system, State space, Ergodic theory, Path and Simple.
The various areas that he examines in his Stochastic differential equation study include Rare events, Large deviations theory, Mathematical model, Stochastic process and Transfer operator.
His work focuses on many connections between Dynamical systems theory and other disciplines, such as Tensor, that overlap with his field of interest in Curse of dimensionality.
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