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Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

open access: yesAdvanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus   +3 more
wiley   +1 more source

Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure

IEEE Transactions on Neural Networks and Learning Systems, 2020
In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode controller based on the DHLRNN is proposed for a class of dynamic systems ...
Juntao Fei, Yundi Chu, Shixi Hou
exaly   +2 more sources

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

Energy, 2019
Accurate state-of-charge (SOC) estimation, which is critical to ensure the safe and reliable operation of battery management systems in electric vehicles, is still a challenging task due to sophisticated battery dynamics and ever-changing ambient ...
Chuan Li, Fangfang Yang, Qiang Miao
exaly   +2 more sources

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