Research on AI- and Simulation-Based Engineering at Exascale

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Visual identity (2)

Visual identity website social media accounts video etc created

Visual identity (1)

Visual identity website social media accounts video etc created

Communication and dissemination plan (1)

Dissemination and communication and standardization report

Educational portfolio document (1)

Periodically updated document describing the change of education portfolio in accordance to RAISEs developments and industrialacademic needs

Report on outcomes of WP3 use-cases (3)

Report on outcomes of WP3 use-cases

Report on porting & performance engineering (1)

Report on porting and performance engineering activities

Report on porting & performance engineering (2)

Report on porting and performance engineering activities

Communication and dissemination plan (3)

Dissemination and communication and standardization report

Communication and dissemination plan (2)

Dissemination and communication and standardization report

Report on novel AI technologies (3)

Report on novel use-case-overarching AI technologies

Benchmarking & support report (1)

Report on benchmarking AI technologies (QA) and on support activities

Benchmarking & support report (2)

Report on benchmarking AI technologies (QA) and on support activities

Support report (2)

Report on support activities

Report on porting & performance engineering (3)

Report on porting and performance engineering activities

Educational portfolio document (3)

Periodically updated document describing the change of education portfolio in accordance to RAISE’s developments and industrial/academic needs

Best practice guidelines/tutorials prototype

Best practice guidelines and tutorials for prototype systems are available

Network evaluation document (1)

Periodically updated documents i listing RAISEs connected networks their user groups contact persons and entry points ii evaluating the potential to include new communities iii describing information and service request transfer in RAISEs network

Report on outcomes of WP4 use-cases (3)

Report on outcomes of WP4 use-cases

Best practice guidelines/tutorials for MSA/heterogenous systems

Best practice guidelines and tutorials for the various HPC systems are available

Network evaluation document (3)

Periodically updated documents: (i) listing RAISE’s connected networks, their user groups, contact persons and entry points; (ii) evaluating the potential to include new communities; (iii) describing information and (service) request transfer in RAISE’s network

Support report (1)

Report on support activities

Network evaluation document (2)

Educational portfolio document (2)

Periodically updated document describing the change of education portfolio in accordance to RAISE’s developments and industrial/academic needs

Educational services platform

Accessible and extendible online educational services platform including webinars e learning MOOCs etc

Software framework layout plan (1)

Software layout plan for a unique AI framework

Software framework layout plan (2)

Software layout plan for a unique AI framework

Publicaciones

Practice and Experience in using Parallel and Scalable Machine Learning with Heterogenous Modular Supercomputing Architectures

Autores: Morris Riedel, Rocco Sedona, Chadi Barakat, Petur Einarsson, Reza Hassanian, Gabriele Cavallaro, Matthias Book, Helmut Neukirchen and Andreas Lintermann
Publicado en: 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2021
Editor: IEEE
DOI: 10.1109/ipdpsw52791.2021.00019

Challenges and Opportunities in the Adoption of High Performance Computing for Earth Observation in the Exascale Era

Autores: G. Cavallaro, R. Sedona, M. Riedel, A. Lintermann, K. Michielsen
Publicado en: Proceedings of the 2023 Conference on Big Data from Space (BiDS’23) - From foresight to impact, 2023, Página(s) 25-28
Editor: Publications Office of the European Union
DOI: 10.2760/46796

Lagrangian Particle Tracking Data of a Straining Turbulent Flow Assessed Using Machine Learning and Parallel Computing

Autores: Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen
Publicado en: Edición 3, 2022
Editor: ParCFD

Enabling Hyperparameter-Tuning of AI Models for Healthcare using the CoE RAISE Unique AI Framework for HPC

Autores: M. Riedel, C. Barakat, S. Fritsch, M. Aach, J. Busch, A. Lintermann, A. Schuppert, S. Brynjólfsson, H. Neukirchen, M. Book
Publicado en: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023, Página(s) 435-440
Editor: IEEE
DOI: 10.23919/mipro57284.2023.10159755

Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods

Autores: M. Aach, E. Inanc, R. Sarma, M. Riedel, A. Lintermann
Publicado en: Proceedings of the Second International Conference on Automated Machine Learning (AutoML), Edición Vol. 228, 2023, Página(s) 12/1—-17
Editor: Proceedings of Machine Learning Research (PMLR)

Turbulent flow prediction: Lagrangian Particle Tracking-Deep Learning (LPT-DL) based models

Autores: R. Hassanian, A. Helgadottir, C. Velte, M. Riedel
Publicado en: APS 76th Annual Meeting of the Division of Fluid Dynamics, Bulletin of the American Physical Society, 2023
Editor: American Physical Society

Deep learning model capable of simulating the inertial particle path in particle-laden turbulent flow

Autores: R. Hassanian, P. Costa, A. Helgadottir, M. Riedel
Publicado en: 5th International Conference on Numerical Methods in Multiphase Flows (ICNMMF-5), 2024
Editor: University of Iceland

Parallel and Scalable Deep Learning to Reconstruct Actuated Turbulent Boundary Layer Flows. Part I: Investigation of Autoencoder-Based Trainings

Autores: R. Sarma, M. Albers, E. Inanc, M. Aach, W. Schröder, A. Lintermann
Publicado en: ParCFD2022 33rd International Conference on Parallel Computational Fluid Dynamics, 2022
Editor: Forschungszentrum Jülich GmbH

Educational Service Platform for Artificial Intelligence Resources

Autores: Ilmars Slaidins,Ieva Timrote,Viktors Zagorskis and Lauris Cikovskis
Publicado en: 2022 31st Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), 2022
Editor: IEEE
DOI: 10.1109/eaeeie54893.2022.9820214

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Autores: Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen
Publicado en: IEEE 2608-2611 (2021). doi:10.1109/IGARSS47720.2021.9554802, Edición 1, 2021
Editor: IEEE
DOI: 10.1109/igarss47720.2021.9554802

Speed-Up of Machine Learning for Sound Localization via High-Performance Computing

Autores: Eric Michael Sumner, Marcel Aach, Andreas Lintermann, Runar Unnthorsson, Morris Riedel
Publicado en: 2022 26th International Conference on Information Technology (IT), Edición 585, 2022, Página(s) 1-4, ISBN 978-1-6654-2127-0
Editor: IEEE
DOI: 10.1109/it54280.2022.9743519

A proposed hybrid two-stage DL-HPC method for wind speed forecasting: using the first average forecast output for long-term forecasting

Autores: Hassanian, R. ; Helgadottir, A. ; Aach, M. ; Lintermann, A. ; Riedel, M.
Publicado en: 2023
Editor: IACM Computational Fluids Conference (CFC2023)

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision

Autores: Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
Publicado en: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2024, Página(s) 1776-1779
Editor: ACM
DOI: 10.1145/3624062.3624259

Replicating Human Sound Localization with a Multi-Layer Perceptron

Autores: E. M. Sumner, R. Unnthorsson, M. Riedel
Publicado en: Proceedings of the 19th Sound and Music Computing Conference, 2022
Editor: Zenodo
DOI: 10.5281/zenodo.6797854

Accelerating Hyperparameter Tuning of a Deep Learning Model for Remote Sensing Image Classification

Autores: Aach, Marcel; Sedona, Rocco; Lintermann, Andreas; Cavallaro, Gabriele; Neukirchen, Helmut; Riedel, Morris
Publicado en: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17 - 2022-07-22, Edición 2, 2022, ISSN 2022-03638
Editor: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
DOI: 10.1109/igarss46834.2022.9883257

The Capability of Recurrent Neural Networks to Predict Turbulence Flow via Spatiotemporal Features

Autores: Reza Hassanian, Morris Riedel, Lahcen Bouhlali
Publicado en: 2022 IEEE 10th Jubilee International Conference on Computational Cybernetics and Cyber-Medical Systems (ICCC), 2022, ISBN 978-1-6654-8177-9
Editor: IEEE
DOI: 10.1109/iccc202255925.2022.9922754

AI4HPC: Library to Train AI Models on HPC Systems Using CFD Datasets

Autores: E. Inanc, R. Sarma, M. Aach, R. Sedona, A. Lintermann
Publicado en: Workshop on Advancing Neural Network Training at 37th Conference on Neural Information Processing Systems (WANT@NeurIPS 2023), 2023
Editor: OpenReview

A Hybrid Quantum-Classical Workflow for Hyperparameter Optimization of Neural Net-works

Autores: M. Aach, E. Wulff, E. Pasetto, A. Delilbasic, R. Sarma, E. Inanc, M. Girone, M. Riedel, A. Linter- mann
Publicado en: ISC High Performance 2023, ISC’23, 2023
Editor: Forschungszentrum Jülich GmbH

An Automatic Approach for the Production of a Time Series of Consistent Land-Cover Maps Based on Long-Short Term Memory

Autores: Rocco Sedona, Claudia Paris, Liang Tian, Morris Riedel, Gabriele Cavallaro
Publicado en: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, Página(s) 203-206
Editor: IEEE
DOI: 10.1109/igarss46834.2022.9883655

Practice and Experience in Using Parallel and Scalable Machine Learning in Remote Sensing from HPC Over Cloud to Quantum Computing

Autores: Morris Riedel, Gabriele Cavallaro, Jon Atli Benediktsson
Publicado en: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Edición 11, 2022, Página(s) 1571-1574, ISSN 2153-7003
Editor: IEEE
DOI: 10.1109/igarss47720.2021.9554656

A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks

Autores: Fabian Orland, Kim Sebastian Brose, Julian Bissantz, Federica Ferraro, Christian Terboven, Christian Hasse
Publicado en: 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S), Edición 52, 2023, Página(s) 7-12
Editor: IEEE
DOI: 10.1109/ai4s56813.2022.00007

Mechanical Elements Analysis of Stewart Platform: Computational Approach

Autores: Reza Hassanian and Morris Riedel
Publicado en: International Journal of Science and Research, 2022, ISSN 2319-7064
Editor: International Journal of Science and Research

Hyperparameter optimization of data-driven AI models on HPC systems

Autores: Eric Wulff, Maria Girone, Joosep Pata
Publicado en: Journal of Physics: Conference Series, Edición 2438, 2023, Página(s) 012092, ISSN 1742-6588
Editor: Institute of Physics
DOI: 10.1088/1742-6596/2438/1/012092

Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module

Autores: Reza Hassanian, Nashmin Yeganeh, Morris Riedel
Publicado en: Fluids, Edición 9, 2024, Página(s) 17, ISSN 2311-5521
Editor: MDPI
DOI: 10.3390/fluids9010017

Deep Learning Forecasts a Strained Turbulent Flow Velocity Field in Temporal Lagrangian Framework: Comparison of LSTM and GRU

Autores: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Publicado en: Fluids, Edición 7, 2024, Página(s) 344, ISSN 2311-5521
Editor: MDPI
DOI: 10.3390/fluids7110344

Modeling the wall shear stress in large-eddy simulation using graph neural networks

Autores: Dorian Dupuy, Nicolas Odier, Corentin Lapeyre, Dimitrios Papadogiannis
Publicado en: Data-Centric Engineering, Edición 4, 2023, ISSN 2632-6736
Editor: Cambridge Core
DOI: 10.1017/dce.2023.2

AI-assisted modeling of capillary-driven droplet dynamics

Autores: Andreas D. Demou, Nikos Savva
Publicado en: Data-Centric Engineering, Edición 4, 2023, Página(s) e24, ISSN 2632-6736
Editor: Cambridge University Press
DOI: 10.1017/dce.2023.19

A Single-Step Multiclass SVM Based on Quantum Annealing for Remote Sensing Data Classification

Autores: Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 17, 2024, Página(s) 1434-1445, ISSN 1939-1404
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2023.3336926

Buckling Assessment in the Dynamics Mechanisms, Stewart Platform Case Study: In the Context of Loads and Joints, Deflection Positions Gradient

Autores: Reza Hassanian, Morris Riedel
Publicado en: Computation, Edición 11, 2023, Página(s) 227, ISSN 2079-3197
Editor: MDPI
DOI: 10.3390/computation11110227

HPC-enabling technologies for high-fidelity combustion simulations

Autores: Daniel Mira, Eduardo J. Pérez-Sánchez, Ricard Borrell, Guillaume Houzeaux
Publicado en: Proceedings of the Combustion Institute, Edición 39, 2024, Página(s) 5091-5125, ISSN 1540-7489
Editor: Combustion Institute
DOI: 10.1016/j.proci.2022.07.222

Deciphering the dynamics of distorted turbulent flows: Lagrangian particle tracking and chaos prediction through transformer-based deep learning models

Autores: R. Hassanian, H. Myneni, Á. Helgadóttir, M. Riedel
Publicado en: Physics of Fluids, Edición 35, 2023, Página(s) 075118, ISSN 1070-6631
Editor: American Institute of Physics
DOI: 10.1063/5.0157897

Direct numerical simulations of methane, ammonia-hydrogen and hydrogen turbulent premixed flames

Autores: Victor Coulon, Jessica Gaucherand, Victor Xing, Davide Laera, Corentin Lapeyre, Thierry Poinsot
Publicado en: Combustion and Flame, Edición Volume 256, 2023, ISSN 0010-2180
Editor: Elsevier BV
DOI: 10.1016/j.combustflame.2023.112933

Developing an Artificial Intelligence-Based Representation of a Virtual Patient Model for Real-Time Diagnosis of Acute Respiratory Distress Syndrome

Autores: Chadi S. Barakat, Konstantin Sharafutdinov, Josefine Busch, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Andreas Schuppert, Sigurður Brynjólfsson, Sebastian Fritsch, Morris Riedel
Publicado en: Diagnostics, Edición 13, 2023, Página(s) 2098, ISSN 2075-4418
Editor: MDPI
DOI: 10.3390/diagnostics13122098

Machine Learning for Particle Flow Reconstruction at CMS

Autores: Joosep Pata, Javier Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone
Publicado en: Journal of Physics: Conference Series, Edición 2438, 2023, Página(s) 012100, ISSN 1742-6588
Editor: Institute of Physics
DOI: 10.1088/1742-6596/2438/1/012100

A High-Performance Multispectral Adaptation GAN for Harmonizing Dense Time Series of Landsat-8 and Sentinel-2 Images

Autores: Rocco Sedona, Claudia Paris, Gabriele Cavallaro, Lorenzo Bruzzone and Morris Riedel
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021, ISSN 1939-1404
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2021.3115604

Surrogate‐based optimization for active drag reduction of turbulent boundary layer flows

Autores: Fabian Hübenthal, Marian Albers, Matthias Meinke, Wolfgang Schröder
Publicado en: PAMM, Edición 23, 2024, ISSN 1617-7061
Editor: Wiley
DOI: 10.1002/pamm.202300190

Analysis of Chest X-ray for COVID-19 Diagnosis as a Use Case for an HPC-Enabled Data Analysis and Machine Learning Platform for Medical Diagnosis Support

Autores: Chadi Barakat; Marcel Aach; Andreas Schuppert; Sigurður Brynjólfsson; Sebastian Fritsch; Morris Riedel
Publicado en: Diagnostics, Edición Volume 13, Edición 3, March 2023, 2023, Página(s) Basel, Switzerland, ISSN 2075-4418
Editor: MDPI
DOI: 10.3390/diagnostics13030391

Implicit Equation for Photovoltaic Module Temperature and Efficiency via Heat Transfer Computational Model

Autores: Reza Hassanian, Morris Riedel, Asdis Helgadottir, Nashmin Yeganeh and Runar Unnthorsson
Publicado en: Thermo, 2022, ISSN 2673-7264
Editor: MDPI
DOI: 10.3390/thermo2010004

An experiment generates a specified mean strained rate turbulent flow: Dynamics of particles

Autores: R. Hassanian, Á. Helgadóttir, L. Bouhlali, M. Riedel
Publicado en: Physics of Fluids, Edición 35, 2023, Página(s) 015124, ISSN 1070-6631
Editor: American Institute of Physics
DOI: 10.1063/5.0134306

A Review in Context to Wind Effect on NOCT Model for Photovoltaic Panel

Autores: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Publicado en: Journal of Solar and Photoenergy Systems, 2022, ISSN 2577-8374
Editor: Crimson Publishers

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

Autores: Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Publicado en: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Edición 17, 2024, Página(s) 3262-3269, ISSN 1939-1404
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstars.2024.3350385

Optimizing Wind Energy Production: Leveraging Deep Learning Models Informed with On-Site Data and Assessing Scalability through HPC

Autores: Reza Hassanian, Abdollah Shahinfar, Ásdís Helgadóttir, Morris Riedel
Publicado en: Acta Polytechnica Hungarica, Edición 21, 2024, Página(s) 45-56, ISSN 1785-8860
Editor: Obuda University
DOI: 10.12700/aph.21.9.2024.9.4

Model Performance Prediction for Hyperparameter Optimization of Deep Learning Models Using High Performance Computing and Quantum Annealing

Autores: Juan Pablo García Amboage, Eric Wulff, Maria Girone, Tomás F. Pena
Publicado en: EPJ Web of Conferences, Edición 295, 2024, Página(s) 12005, ISSN 2100-014X
Editor: EDP science
DOI: 10.1051/epjconf/202429512005

Toward the Production of Spatiotemporally Consistent Annual Land Cover Maps Using Sentinel-2 Time Series

Autores: Rocco Sedona, Claudia Paris, Jan Ebert, Morris Riedel, Gabriele Cavallaro
Publicado en: IEEE Geoscience and Remote Sensing Letters, Edición 20, 2024, Página(s) 1-5, ISSN 1545-598X
Editor: Institute of Electrical and Electronics Engineers
DOI: 10.1109/lgrs.2023.3329428

Automated surgery planning for an obstructed nose by combining computational fluid dynamics with reinforcement learning

Autores: Mario Rüttgers, Moritz Waldmann, Klaus Vogt, Justus Ilgner, Wolfgang Schröder, Andreas Lintermann
Publicado en: Computers in Biology and Medicine, Edición 173, 2024, Página(s) 108383, ISSN 0010-4825
Editor: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2024.108383

Robustness evaluation of large-scale machine learning-based reduced order models for reproducing flow fields

Autores: Aito Higashida, Kazuto Ando, Mario Rüttgers, Andreas Lintermann, Makoto Tsubokura
Publicado en: Future Generation Computer Systems, Edición 159, 2024, Página(s) 243-254, ISSN 0167-739X
Editor: Elsevier BV
DOI: 10.1016/j.future.2024.05.005

Reference dataset and benchmark for reconstructing laser parameters from on-axis video in powder bed fusion of bulk stainless steel

Autores: Cyril Blanc, Ayyoub Ahar, Kurt De Grave
Publicado en: Additive Manufacturing Letters, Edición 7, 2023, Página(s) 100161, ISSN 2772-3690
Editor: Elsevier
DOI: 10.1016/j.addlet.2023.100161

A Practical Approach for Estimating the Optimum Tilt Angle of a Photovoltaic Panel for a Long Period—Experimental Recorded Data

Autores: Reza Hassanian, Morris Riedel, Nashmin Yeganeh and Runar Unnthorsson
Publicado en: Solar, 2021, ISSN 2673-9941
Editor: MDPI
DOI: 10.3390/solar1010005

Leading-Edge Erosion and Floating Particles: Stagnation Point Simulation in Particle-Laden Turbulent Flow via Lagrangian Particle Tracking

Autores: Reza Hassanian, Morris Riedel
Publicado en: Machines, Edición 11, 2023, Página(s) 566, ISSN 2075-1702
Editor: MDPI
DOI: 10.3390/machines11050566

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization

Autores: Eric Wulff, Juan Pablo Garcia Amboage, Marcel Aach, Thorsteinn Eli Gislason, Thorsteinn Kristinn Ingolfsson, Tomas Kristinn Ingolfsson, Edoardo Pasetto, Amer Delilbasic, Morris Riedel, Rakesh Sarma, Maria Girone, Andreas Lintermann
Publicado en: Quantum Machine Intelligence, Edición 6, 2024, ISSN 2524-4906
Editor: Springer
DOI: 10.1007/s42484-024-00198-5

Hybrid AI-Analytical Modeling of Droplet Dynamics on Inclined Heterogeneous Surfaces

Autores: Andreas D. Demou, Nikos Savva
Publicado en: Mathematics, Edición 12, 2024, Página(s) 1188, ISSN 2227-7390
Editor: MDPI
DOI: 10.3390/math12081188

Turbulent Flow Prediction-Simulation: Strained Flow with Initial Isotropic Condition Using a GRU Model Trained by an Experimental Lagrangian Framework, with Emphasis on Hyperparameter Optimization

Autores: Reza Hassanian, Marcel Aach, Andreas Lintermann, Ásdís Helgadóttir, Morris Riedel
Publicado en: Fluids, Edición 9, 2024, Página(s) 84, ISSN 2311-5521
Editor: MDPI
DOI: 10.3390/fluids9040084

Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors

Autores: Pata, Joosep; Wulff, Eric; Mokhtar, Farouk; Southwick, David; Zhang, Mengke; Girone, Maria; Duarte, Javier
Publicado en: Communications Physics, Edición 124, 2024, ISSN 2399-3650
Editor: Communications Physics
DOI: 10.1038/s42005-024-01599-5

Large scale performance analysis of distributed deep learning frameworks for convolutional neural networks

Autores: Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel & Andreas Lintermann
Publicado en: Journal of Big Data, 2023, ISSN 2196-1115
Editor: Springer
DOI: 10.1186/s40537-023-00765-w

Iceland wind farm assessment case study and development: An empirical data from wind and wind turbine

Autores: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Publicado en: Cleaner Energy Systems, Edición 4, 2023, Página(s) 100058, ISSN 2772-7831
Editor: Elsevier
DOI: 10.1016/j.cles.2023.100058

Refining computer tomography data with super-resolution networks to increase the accuracy of respiratory flow simulations

Autores: Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
Publicado en: Future Generation Computer Systems, Edición 159, 2024, Página(s) 474-488, ISSN 0167-739X
Editor: Elsevier BV
DOI: 10.1016/j.future.2024.05.020

A Level Set-Based Actuator Disc Model for Turbine Realignment in Wind Farm Simulation: Meshing, Convergence and Applications

Autores: Abel Gargallo-Peiró, Gonzalo Revilla, Matias Avila, Guillaume Houzeaux
Publicado en: Energies, Edición 15, 2024, Página(s) 8877, ISSN 1996-1073
Editor: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15238877

Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

Autores: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Publicado en: Open Access Library Journal, 2022, ISSN 2333-9705
Editor: Scientific Research Publishing

CoE RAISE - data for actuated turbulent boundary layer flows

Autores: M. Albers, P. S. Meysonnat, D. Fernex, R. Seemaan, B. Noack, W. Schröder, A. Lintermann
Publicado en: 2023
Editor: EUDAT / Forschungszentrum Jülich GmbH
DOI: 10.34730/5dbc8e35f21241d0889906136cf28d26

AI4HPC

Autores: E. Inanc, R. Sarma, M. Aach, A. Lintermann
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/zenodo.7705417

Simulated datasets for detector and particle flow reconstruction: CLIC detector

Autores: J. Pata, E. Wulff, J. Duarte, F. Mokhtar, M. Zhang, M. Girone, D. Southwick
Publicado en: 2023
Editor: CERN
DOI: 10.5281/zenodo.8260741

Parallel Computing Accelerates Sequential Deep Networks Model in Turbulent Flow Forecasting

Autores: R. Hassanian, A. Helgadottir, M. Riedel
Publicado en: The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC22, 2022
Editor: SC 2022

Correction to: Machine-Learning-Based Control of Perturbed and Heated Channel Flows

Autores: Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann
Publicado en: Lecture Notes in Computer Science, High Performance Computing, 2022, Página(s) C2-C2
Editor: Springer International Publishing
DOI: 10.1007/978-3-030-90539-2_37

Design and Evaluation of Parallel and Scalable Machine Learning Research in Biomedical Modelling Applications

Autores: Barakat, Chadi
Publicado en: 2023, ISBN 978-9935-9697-9-8
Editor: University of Iceland
DOI: 10.34734/fzj-2023-02488

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