5 citations · 5 across the 1 of their papers we have counts for
7 papers
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory
Soon Hoe Lim
Recurrent neural networks (RNNs) are brain-inspired models widely used in machine learning for analyzing sequential data. The present work is a contribution towards a deeper unders…
Anomalous Thermodynamics in Homogenized Generalized Langevin Systems
Soon Hoe Lim
We study functionals, such as heat and work, along trajectories of a class of multi-dimensional generalized Langevin systems in various limiting situations that correspond to diffe…
Predicting Critical Transitions in Multiscale Dynamical Systems Using Reservoir Computing
Soon Hoe Lim, Ludovico Theo Giorgini, Woosok Moon +1
We study the problem of predicting rare critical transition events for a class of slow-fast nonlinear dynamical systems. The state of the system of interest is described by a slow…
Functionals in stochastic thermodynamics: how to interpret stochastic integrals
Stefano Bo, Soon Hoe Lim, Ralf Eichhorn
In stochastic thermodynamics standard concepts from macroscopic thermodynamics, such as heat, work, and entropy production, are generalized to small fluctuating systems by defining…
Precursors to Rare Events in Stochastic Resonance
L. T. Giorgini, S. H. Lim, W. Moon +1
In stochastic resonance, a periodically forced Brownian particle in a double-well potential jumps between minima at rare increments, the prediction of which poses a major theoretic…
Examination of Flow and Non-Flow Factorization Methods in Small Collision Systems
S. H. Lim, Q. Hu, R. Belmont +3
Two particle correlations have been used extensively to study hydrodynamic flow patterns in heavy-ion collisions. In small collision systems, such as and , where…