1 citations · 1 across the 2 of their papers we have counts for
3 papers
physics.comp-ph2025
Consistent Projection of Langevin Dynamics: Preserving Thermodynamics and Kinetics in Coarse-Grained Models
Vahid Nateghi, Lara Neureither, Selma Moqvist +3
Coarse graining (CG) is an important task for efficient modeling and simulation of complex multi-scale systems, such as the conformational dynamics of biomolecules. This work prese…
physics.comp-ph2024
Kinetically Consistent Coarse Graining using Kernel-based Extended Dynamic Mode Decomposition
Vahid Nateghi, Feliks Nüske
In this paper, we show how kernel-based models for the Koopman generator -- the gEDMD method -- can be used to identify coarse-grained dynamics on reduced variables, which retain t…
q-fin.ST2023★ 1 cited
Why Topological Data Analysis Detects Financial Bubbles?
Samuel W. Akingbade, Marian Gidea, Matteo Manzi +1
We present a heuristic argument for the propensity of Topological Data Analysis (TDA) to detect early warning signals of critical transitions in financial time series. Our argument…