Zobrazeno 1 - 10
of 223
pro vyhledávání: '"Schuette, Christof"'
Autor:
Wehlitz, Nathalie, Sadeghi, Mohsen, Montefusco, Alberto, Schütte, Christof, Pavliotis, Grigorios A., Winkelmann, Stefanie
This work proposes stochastic partial differential equations (SPDEs) as a practical tool to replicate clustering effects of more detailed particle-based dynamics. Inspired by membrane-mediated receptor dynamics on cell surfaces, we formulate a stocha
Externí odkaz:
http://arxiv.org/abs/2407.18952
Autor:
Zhang, Wei, Schütte, Christof
This paper is concerned with collective variables, or reaction coordinates, that map a discrete-in-time Markov process $X_n$ in $\mathbb{R}^d$ to a (much) smaller dimension $k \ll d$. We define the effective dynamics under a given collective variable
Externí odkaz:
http://arxiv.org/abs/2405.02001
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction
Externí odkaz:
http://arxiv.org/abs/2312.03147
Autor:
Montefusco, Alberto, Helfmann, Luzie, Okunola, Toluwani, Winkelmann, Stefanie, Schütte, Christof
This article addresses reaction networks in which spatial and stochastic effects are of crucial importance. For such systems, particle-based models allow us to describe all microscopic details with high accuracy. However, they suffer from computation
Externí odkaz:
http://arxiv.org/abs/2307.01737
Autor:
Zhang, Wei, Schütte, Christof
High-dimensional metastable molecular system can often be characterised by a few features of the system, i.e. collective variables (CVs). Thanks to the rapid advance in the area of machine learning and deep learning, various deep learning-based CV id
Externí odkaz:
http://arxiv.org/abs/2307.00365
Agent-based models (ABMs) provide an intuitive and powerful framework for studying social dynamics by modeling the interactions of individuals from the perspective of each individual. In addition to simulating and forecasting the dynamics of ABMs, th
Externí odkaz:
http://arxiv.org/abs/2306.17666
Autor:
Plock, Matthias, Hammerschmidt, Martin, Burger, Sven, Schneider, Philipp-Immanuel, Schütte, Christof
Publikováno v:
Metrologia 60, 054001 (2023)
In optical nano metrology numerical models are used widely for parameter reconstructions. Using the Bayesian target vector optimization method we fit a finite element numerical model to a Grazing Incidence X-Ray fluorescence data set in order to obta
Externí odkaz:
http://arxiv.org/abs/2305.02663
At chemical synapses, an arriving electric signal induces the fusion of vesicles with the presynaptic membrane, thereby releasing neurotransmitters into the synaptic cleft. After a fusion event, both the release site and the vesicle undergo a recover
Externí odkaz:
http://arxiv.org/abs/2302.01635
Digital communication has made the public discourse considerably more complex, and new actors and strategies have emerged as a result of this seismic shift. Aside from the often-studied interactions among individuals during opinion formation, which h
Externí odkaz:
http://arxiv.org/abs/2301.13661
Sampling rare events in metastable dynamical systems is often a computationally expensive task and one needs to resort to enhanced sampling methods such as importance sampling. Since we can formulate the problem of finding optimal importance sampling
Externí odkaz:
http://arxiv.org/abs/2206.06628