2.9k citations · 4.9k across the 58 of their papers we have counts for
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Bayesian selection for coarse-grained models of liquid water
Julija Zavadlav, Georgios Arampatzis, Petros Koumoutsakos
The necessity for accurate and computationally efficient representations of water in atomistic simulations that can span biologically relevant timescales has born the necessity of…
A Computational Study of the Collapse of a Cloud with 12500 Gas Bubbles in a Liquid
Ursula Rasthofer, Fabian Wermelinger, Petr Karnakov +2
We investigate the process of cloud cavitation collapse through large-scale simulation of a cloud composed of 12500 gas bubbles. A finite volume scheme is used on a structured Cart…
Data-Driven Forecasting of High-Dimensional Chaotic Systems with Long Short-Term Memory Networks
Pantelis R. Vlachas, Wonmin Byeon, Zhong Y. Wan +2
We introduce a data-driven forecasting method for high-dimensional chaotic systems using long short-term memory (LSTM) recurrent neural networks. The proposed LSTM neural networks…