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Federico Galvanin

University College London

Gower Street

London, London WC1E 6BT

United Kingdom

SCHOLARLY PAPERS

2

DOWNLOADS

178

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

Machine Learning and Physics-Driven Modelling and Simulation of Multiphase Systems

Number of pages: 41 Posted: 15 Mar 2024
Imperial College London, Imperial College London, University College London, University College London, University of Birmingham, Imperial College London, Imperial College London, Imperial College London, University College London, University College London, Imperial College London, University of Leeds, University of Birmingham, University College London, Imperial College London, Imperial College London, Imperial College London, University College London, Imperial College London, University of Birmingham, Imperial College London, University College London, University College London, Imperial College London, Imperial College London, Imperial College London, University of Birmingham, Imperial College London, Imperial College London, University of Amsterdam, Imperial College London, Imperial College London and Imperial College London
Downloads 148 (500,001)

Abstract:

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Machine Learning, Numerical Simulations, Multiphase, Multi-fidelity, Microfluidics, Hybrid Methods

2.

An Optimal Experimental Design Framework for Fast Kinetic Model Identification Based on Artificial Neural Networks

Number of pages: 38 Posted: 18 Feb 2024
Enrico Sangoi, Marco Quaglio, Fabrizio Bezzo and Federico Galvanin
University College London, University College London, University of Padua and University College London
Downloads 30 (1,318,317)

Abstract:

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Model selection, machine learning, Artificial neural network, Design of experiments, Evolutionary algorithm, Optimization