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Miguel A. Durán-Olivencia

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2020 – today

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2024
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Antonio Russo, Miguel A. Durán-Olivencia, Ioannis G. Kevrekidis, Serafim Kalliadasis:
Machine Learning Memory Kernels as Closure for Non-Markovian Stochastic Processes. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6531-6543 (2024)
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Antonio Malpica-Morales, Miguel A. Durán-Olivencia, Serafim Kalliadasis:
Forecasting with an N-dimensional Langevin Equation and a Neural-Ordinary Differential Equation. CoRR abs/2405.07359 (2024)
2021
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Antonio Russo, Sergio P. Perez, Miguel A. Durán-Olivencia, Peter Yatsyshin, José A. Carrillo, Serafim Kalliadasis:
A finite-volume method for fluctuating dynamical density functional theory. J. Comput. Phys. 428: 109796 (2021)

2010 – 2019

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2019
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Antonio Russo, Sergio P. Perez, Miguel A. Durán-Olivencia, Peter Yatsyshin, José A. Carrillo, Serafim Kalliadasis:
A Finite-Volume Method for Fluctuating Dynamical Density Functional Theory. CoRR abs/1910.05067 (2019)

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