The two-states Markovv-states-model of molecular dynamics is newly analytically studied. The total reward of the path integral of the reaction within a crisp Markovv landscape is proven to be expressed as a Laplace integral (kernel) after the opportune Radon measure. The evolution of the eigenvalues is newly exactly analytical calculated; the corresponding relative error is newly analytically calculated. The problem of an m-states model is established within this framework
We developed a new formulation and derived a set of equations for two-time correlation functions in ...
Classical rate theories often fail in cases where the observable(s) or order parameter(s) used is a ...
With recent advances in structural biology, including experi-mental techniques and deep learning-ena...
This section reviews the relation between the continuous dynamics of a molecular system in thermal e...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Rare, but important, transition events between long-lived states are a key feature of many molecular...
Matrix formulation of kinetic schemes In lecture 6 we considered the interpretation of molecular eve...
ABSTRACT: Owing to recent developments in computational algorithms and architectures, it is now comp...
In recent years, Markov state models (MSMs) have attracted a considerable amount of attention with r...
The article by Sarich and Schütte takes a broad view of the use of Markov state models, with biomole...
Markov state models (MSMs) and other related kinetic network models are frequently used to study the...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
We present a principled approach for estimating the matrix of microscopic transition probabilities a...
We developed a new formulation and derived a set of equations for two-time correlation functions in ...
Classical rate theories often fail in cases where the observable(s) or order parameter(s) used is a ...
With recent advances in structural biology, including experi-mental techniques and deep learning-ena...
This section reviews the relation between the continuous dynamics of a molecular system in thermal e...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Markov State Modelling as a concept for a coarse grained description of the essential kinetics of a ...
Rare, but important, transition events between long-lived states are a key feature of many molecular...
Matrix formulation of kinetic schemes In lecture 6 we considered the interpretation of molecular eve...
ABSTRACT: Owing to recent developments in computational algorithms and architectures, it is now comp...
In recent years, Markov state models (MSMs) have attracted a considerable amount of attention with r...
The article by Sarich and Schütte takes a broad view of the use of Markov state models, with biomole...
Markov state models (MSMs) and other related kinetic network models are frequently used to study the...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
We present a principled approach for estimating the matrix of microscopic transition probabilities a...
We developed a new formulation and derived a set of equations for two-time correlation functions in ...
Classical rate theories often fail in cases where the observable(s) or order parameter(s) used is a ...
With recent advances in structural biology, including experi-mental techniques and deep learning-ena...