Best Paper Award

Dear Colleagues,
We are pleased to announce the winners of the Computation 2020 Best Paper Award.

The winners are:
Machine-Learning Methods for Computational Science and Engineering
Michael Frank, Dimitris Drikakis and Vassilis Charissis

Computation 2020, 8(1), 15; doi:10.3390/computation8010015

Evaluation of a Near-Wall-Modeled Large Eddy Lattice Boltzmann Method for the Analysis of Complex Flows Relevant to IC Engines
Marc Haussmann, Florian Ries, Jonathan B. Jeppener-Haltenhoff, Yongxiang Li, Marius Schmidt, Cooper Welch, Lars Illmann, Benjamin Böhm, Hermann Nirschl, Mathias J. Krause and Amsini Sadiki

Computation 2020, 8(2), 43; doi:10.3390/computation8020043

Each winner (corresponding author) will receive 500 CHF, a certificate, and a chance to publish a paper free of charge in Computation in 2022.

On behalf of the assessment committee, we would like to congratulate the winners on their accomplishments. We would also like to take this opportunity to thank all the nominated research groups for their contributions to Computation and the Award Committee for voting and helping with these awards.

Computation 2020 Best Paper Award

Eligibility and Requirements

– All papers published in Computation will be eligible (Both regular and Special Issue submissions).
Past Winners


25 pages, 2545 KiB  
In Silico Analysis of the Multi-Targeted Mode of Action of Ivermectin and Related Compounds
by Maral Aminpour, Marco Cannariato, Jordane Preto, M. Ehsan Safaeeardebili, Alexia Moracchiato, Domiziano Doria, Francesca Donato, Eric Adriano Zizzi, Marco Agostino Deriu, David E. Scheim, Alessandro D. Santin and Jack Adam Tuszynski
Computation 2022, 10(4), 51; - 25 Mar 2022

Award Committee

Prof. Ali Cemal Benim Chairman
Duesseldorf University of Applied Sciences
Dr. Gennady Bocharov
Marchuk Institute of Numerical Mathematics of the Russian Academy of Sciences
Dr. Shengkun Xie
Dr. Alexander S. Novikov
Saint Petersburg State University
Dr. Sivasankaran Sivanandam
King Abdulaziz University


20 pages, 1247 KiB  
An Accuracy vs. Complexity Comparison of Deep Learning Architectures for the Detection of COVID-19 Disease
by Sima Sarv Ahrabi, Michele Scarpiniti, Enzo Baccarelli and Alireza Momenzadeh
Computation 2021, 9(1), 3; - 6 Jan 2021
15 pages, 502 KiB  
Deep Learning for Fake News Detection in a Pairwise Textual Input Schema
by Despoina Mouratidis, Maria Nefeli Nikiforos and Katia Lida Kermanidis
Computation 2021, 9(2), 20; - 17 Feb 2021


Michael Frank
ASML, Eindhoven Area, The Netherlands
Florian Ries
Reactive Flows and Diagnostics, Department of Mechanical Engineering, Technical University of Darmstadt, Otto-Berndt-Str. 3, 64287 Darmstadt, Germany

Award Committee

Prof. Ali Cemal Benim Chairman
Duesseldorf University of Applied Sciences
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