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6 September 2024
Mathematical and Computational Applications | Selected Editor’s Choice Articles in 2023
We are pleased to announce the Editor’s Choice Articles of Mathematical and Computational Applications (MCA, ISSN: 2297-8747) published in 2023. After an evaluation by our Board Members Daniel Balzani and Gianluigi Rozza, the following six articles have been selected.
by Juan F. Giraldo and Victor M. Calo
Math. Comput. Appl. 2023, 28(1), 7; https://doi.org/10.3390/mca28010007
Available online: https://www.mdpi.com/2297-8747/28/1/7
2. “Many-Objectives Optimization: A Machine Learning Approach for Reducing the Number of Objectives”
by António Gaspar-Cunha, Paulo Costa, Francisco Monaco and Alexandre Delbem
Math. Comput. Appl. 2023, 28(1), 17; https://doi.org/10.3390/mca28010017
Available online: https://www.mdpi.com/2297-8747/28/1/17
3. “A PINN Surrogate Modeling Methodology for Steady-State Integrated Thermofluid Systems Modeling”
by Kristina Laugksch, Pieter Rousseau and Ryno Laubscher
Math. Comput. Appl. 2023, 28(2), 52; https://doi.org/10.3390/mca28020052
Available online: https://www.mdpi.com/2297-8747/28/2/52
4. “A Parallel Solver for FSI Problems with Fictitious Domain Approach”
by Daniele Boffi, Fabio Credali, Lucia Gastaldi and Simone Scacchi
Math. Comput. Appl. 2023, 28(2), 59; https://doi.org/10.3390/mca28020059
Available online: https://www.mdpi.com/2297-8747/28/2/59
5. “FE2 Computations with Deep Neural Networks: Algorithmic Structure, Data Generation, and Implementation”
by Hamidreza Eivazi, Jendrik-Alexander Tröger, Stefan Wittek, Stefan Hartmann and Andreas Rausch
Math. Comput. Appl. 2023, 28(4), 91; https://doi.org/10.3390/mca28040091
Available online: https://www.mdpi.com/2297-8747/28/4/91
6. “Applying Physics-Informed Neural Networks to Solve Navier–Stokes Equations for Laminar Flow around a Particle”
by Beichao Hu and Dwayne McDaniel
Math. Comput. Appl. 2023, 28(5), 102; https://doi.org/10.3390/mca28050102
Available online: https://www.mdpi.com/2297-8747/28/5/102
