AI- and Simulation-Based Engineering at Exascale

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

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

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

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

Auteurs: G. Cavallaro, R. Sedona, M. Riedel, A. Lintermann, K. Michielsen
Publié dans: Proceedings of the 2023 Conference on Big Data from Space (BiDS’23) - From foresight to impact, 2023, Page(s) 25-28
Éditeur: 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

Auteurs: Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen
Publié dans: Numéro 3, 2022
Éditeur: ParCFD

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

Auteurs: M. Riedel, C. Barakat, S. Fritsch, M. Aach, J. Busch, A. Lintermann, A. Schuppert, S. Brynjólfsson, H. Neukirchen, M. Book
Publié dans: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023, Page(s) 435-440
Éditeur: IEEE
DOI: 10.23919/mipro57284.2023.10159755

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

Auteurs: M. Aach, E. Inanc, R. Sarma, M. Riedel, A. Lintermann
Publié dans: Proceedings of the Second International Conference on Automated Machine Learning (AutoML), Numéro Vol. 228, 2023, Page(s) 12/1—-17
Éditeur: Proceedings of Machine Learning Research (PMLR)

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

Auteurs: R. Hassanian, A. Helgadottir, C. Velte, M. Riedel
Publié dans: APS 76th Annual Meeting of the Division of Fluid Dynamics, Bulletin of the American Physical Society, 2023
Éditeur: American Physical Society

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

Auteurs: R. Hassanian, P. Costa, A. Helgadottir, M. Riedel
Publié dans: 5th International Conference on Numerical Methods in Multiphase Flows (ICNMMF-5), 2024
Éditeur: University of Iceland

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

Auteurs: R. Sarma, M. Albers, E. Inanc, M. Aach, W. Schröder, A. Lintermann
Publié dans: ParCFD2022 33rd International Conference on Parallel Computational Fluid Dynamics, 2022
Éditeur: Forschungszentrum Jülich GmbH

Educational Service Platform for Artificial Intelligence Resources

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

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Auteurs: Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen
Publié dans: IEEE 2608-2611 (2021). doi:10.1109/IGARSS47720.2021.9554802, Numéro 1, 2021
Éditeur: IEEE
DOI: 10.1109/igarss47720.2021.9554802

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

Auteurs: Eric Michael Sumner, Marcel Aach, Andreas Lintermann, Runar Unnthorsson, Morris Riedel
Publié dans: 2022 26th International Conference on Information Technology (IT), Numéro 585, 2022, Page(s) 1-4, ISBN 978-1-6654-2127-0
Éditeur: 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

Auteurs: Hassanian, R. ; Helgadottir, A. ; Aach, M. ; Lintermann, A. ; Riedel, M.
Publié dans: 2023
Éditeur: IACM Computational Fluids Conference (CFC2023)

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision

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

Replicating Human Sound Localization with a Multi-Layer Perceptron

Auteurs: E. M. Sumner, R. Unnthorsson, M. Riedel
Publié dans: Proceedings of the 19th Sound and Music Computing Conference, 2022
Éditeur: Zenodo
DOI: 10.5281/zenodo.6797854

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

Auteurs: Aach, Marcel; Sedona, Rocco; Lintermann, Andreas; Cavallaro, Gabriele; Neukirchen, Helmut; Riedel, Morris
Publié dans: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17 - 2022-07-22, Numéro 2, 2022, ISSN 2022-03638
Éditeur: 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

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

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

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

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

Auteurs: M. Aach, E. Wulff, E. Pasetto, A. Delilbasic, R. Sarma, E. Inanc, M. Girone, M. Riedel, A. Linter- mann
Publié dans: ISC High Performance 2023, ISC’23, 2023
Éditeur: Forschungszentrum Jülich GmbH

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

Auteurs: Rocco Sedona, Claudia Paris, Liang Tian, Morris Riedel, Gabriele Cavallaro
Publié dans: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, Page(s) 203-206
Éditeur: 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

Auteurs: Morris Riedel, Gabriele Cavallaro, Jon Atli Benediktsson
Publié dans: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Numéro 11, 2022, Page(s) 1571-1574, ISSN 2153-7003
Éditeur: IEEE
DOI: 10.1109/igarss47720.2021.9554656

A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks

Auteurs: Fabian Orland, Kim Sebastian Brose, Julian Bissantz, Federica Ferraro, Christian Terboven, Christian Hasse
Publié dans: 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S), Numéro 52, 2023, Page(s) 7-12
Éditeur: IEEE
DOI: 10.1109/ai4s56813.2022.00007

Mechanical Elements Analysis of Stewart Platform: Computational Approach

Auteurs: Reza Hassanian and Morris Riedel
Publié dans: International Journal of Science and Research, 2022, ISSN 2319-7064
Éditeur: International Journal of Science and Research

Hyperparameter optimization of data-driven AI models on HPC systems

Auteurs: Eric Wulff, Maria Girone, Joosep Pata
Publié dans: Journal of Physics: Conference Series, Numéro 2438, 2023, Page(s) 012092, ISSN 1742-6588
Éditeur: Institute of Physics
DOI: 10.1088/1742-6596/2438/1/012092

Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module

Auteurs: Reza Hassanian, Nashmin Yeganeh, Morris Riedel
Publié dans: Fluids, Numéro 9, 2024, Page(s) 17, ISSN 2311-5521
Éditeur: MDPI
DOI: 10.3390/fluids9010017

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

Auteurs: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Publié dans: Fluids, Numéro 7, 2024, Page(s) 344, ISSN 2311-5521
Éditeur: MDPI
DOI: 10.3390/fluids7110344

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

Auteurs: Dorian Dupuy, Nicolas Odier, Corentin Lapeyre, Dimitrios Papadogiannis
Publié dans: Data-Centric Engineering, Numéro 4, 2023, ISSN 2632-6736
Éditeur: Cambridge Core
DOI: 10.1017/dce.2023.2

AI-assisted modeling of capillary-driven droplet dynamics

Auteurs: Andreas D. Demou, Nikos Savva
Publié dans: Data-Centric Engineering, Numéro 4, 2023, Page(s) e24, ISSN 2632-6736
Éditeur: Cambridge University Press
DOI: 10.1017/dce.2023.19

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

Auteurs: Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numéro 17, 2024, Page(s) 1434-1445, ISSN 1939-1404
Éditeur: 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

Auteurs: Reza Hassanian, Morris Riedel
Publié dans: Computation, Numéro 11, 2023, Page(s) 227, ISSN 2079-3197
Éditeur: MDPI
DOI: 10.3390/computation11110227

HPC-enabling technologies for high-fidelity combustion simulations

Auteurs: Daniel Mira, Eduardo J. Pérez-Sánchez, Ricard Borrell, Guillaume Houzeaux
Publié dans: Proceedings of the Combustion Institute, Numéro 39, 2024, Page(s) 5091-5125, ISSN 1540-7489
Éditeur: 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

Auteurs: R. Hassanian, H. Myneni, Á. Helgadóttir, M. Riedel
Publié dans: Physics of Fluids, Numéro 35, 2023, Page(s) 075118, ISSN 1070-6631
Éditeur: American Institute of Physics
DOI: 10.1063/5.0157897

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

Auteurs: Victor Coulon, Jessica Gaucherand, Victor Xing, Davide Laera, Corentin Lapeyre, Thierry Poinsot
Publié dans: Combustion and Flame, Numéro Volume 256, 2023, ISSN 0010-2180
Éditeur: 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

Auteurs: Chadi S. Barakat, Konstantin Sharafutdinov, Josefine Busch, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Andreas Schuppert, Sigurður Brynjólfsson, Sebastian Fritsch, Morris Riedel
Publié dans: Diagnostics, Numéro 13, 2023, Page(s) 2098, ISSN 2075-4418
Éditeur: MDPI
DOI: 10.3390/diagnostics13122098

Machine Learning for Particle Flow Reconstruction at CMS

Auteurs: Joosep Pata, Javier Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone
Publié dans: Journal of Physics: Conference Series, Numéro 2438, 2023, Page(s) 012100, ISSN 1742-6588
Éditeur: 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

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

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

Auteurs: Fabian Hübenthal, Marian Albers, Matthias Meinke, Wolfgang Schröder
Publié dans: PAMM, Numéro 23, 2024, ISSN 1617-7061
Éditeur: 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

Auteurs: Chadi Barakat; Marcel Aach; Andreas Schuppert; Sigurður Brynjólfsson; Sebastian Fritsch; Morris Riedel
Publié dans: Diagnostics, Numéro Volume 13, Numéro 3, March 2023, 2023, Page(s) Basel, Switzerland, ISSN 2075-4418
Éditeur: MDPI
DOI: 10.3390/diagnostics13030391

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

Auteurs: Reza Hassanian, Morris Riedel, Asdis Helgadottir, Nashmin Yeganeh and Runar Unnthorsson
Publié dans: Thermo, 2022, ISSN 2673-7264
Éditeur: MDPI
DOI: 10.3390/thermo2010004

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

Auteurs: R. Hassanian, Á. Helgadóttir, L. Bouhlali, M. Riedel
Publié dans: Physics of Fluids, Numéro 35, 2023, Page(s) 015124, ISSN 1070-6631
Éditeur: American Institute of Physics
DOI: 10.1063/5.0134306

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

Auteurs: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Publié dans: Journal of Solar and Photoenergy Systems, 2022, ISSN 2577-8374
Éditeur: Crimson Publishers

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

Auteurs: Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Publié dans: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numéro 17, 2024, Page(s) 3262-3269, ISSN 1939-1404
Éditeur: 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

Auteurs: Reza Hassanian, Abdollah Shahinfar, Ásdís Helgadóttir, Morris Riedel
Publié dans: Acta Polytechnica Hungarica, Numéro 21, 2024, Page(s) 45-56, ISSN 1785-8860
Éditeur: 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

Auteurs: Juan Pablo García Amboage, Eric Wulff, Maria Girone, Tomás F. Pena
Publié dans: EPJ Web of Conferences, Numéro 295, 2024, Page(s) 12005, ISSN 2100-014X
Éditeur: EDP science
DOI: 10.1051/epjconf/202429512005

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

Auteurs: Rocco Sedona, Claudia Paris, Jan Ebert, Morris Riedel, Gabriele Cavallaro
Publié dans: IEEE Geoscience and Remote Sensing Letters, Numéro 20, 2024, Page(s) 1-5, ISSN 1545-598X
Éditeur: 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

Auteurs: Mario Rüttgers, Moritz Waldmann, Klaus Vogt, Justus Ilgner, Wolfgang Schröder, Andreas Lintermann
Publié dans: Computers in Biology and Medicine, Numéro 173, 2024, Page(s) 108383, ISSN 0010-4825
Éditeur: 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

Auteurs: Aito Higashida, Kazuto Ando, Mario Rüttgers, Andreas Lintermann, Makoto Tsubokura
Publié dans: Future Generation Computer Systems, Numéro 159, 2024, Page(s) 243-254, ISSN 0167-739X
Éditeur: 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

Auteurs: Cyril Blanc, Ayyoub Ahar, Kurt De Grave
Publié dans: Additive Manufacturing Letters, Numéro 7, 2023, Page(s) 100161, ISSN 2772-3690
Éditeur: 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

Auteurs: Reza Hassanian, Morris Riedel, Nashmin Yeganeh and Runar Unnthorsson
Publié dans: Solar, 2021, ISSN 2673-9941
Éditeur: MDPI
DOI: 10.3390/solar1010005

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

Auteurs: Reza Hassanian, Morris Riedel
Publié dans: Machines, Numéro 11, 2023, Page(s) 566, ISSN 2075-1702
Éditeur: MDPI
DOI: 10.3390/machines11050566

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization

Auteurs: 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
Publié dans: Quantum Machine Intelligence, Numéro 6, 2024, ISSN 2524-4906
Éditeur: Springer
DOI: 10.1007/s42484-024-00198-5

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

Auteurs: Andreas D. Demou, Nikos Savva
Publié dans: Mathematics, Numéro 12, 2024, Page(s) 1188, ISSN 2227-7390
Éditeur: 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

Auteurs: Reza Hassanian, Marcel Aach, Andreas Lintermann, Ásdís Helgadóttir, Morris Riedel
Publié dans: Fluids, Numéro 9, 2024, Page(s) 84, ISSN 2311-5521
Éditeur: MDPI
DOI: 10.3390/fluids9040084

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

Auteurs: Pata, Joosep; Wulff, Eric; Mokhtar, Farouk; Southwick, David; Zhang, Mengke; Girone, Maria; Duarte, Javier
Publié dans: Communications Physics, Numéro 124, 2024, ISSN 2399-3650
Éditeur: Communications Physics
DOI: 10.1038/s42005-024-01599-5

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

Auteurs: Marcel Aach, Eray Inanc, Rakesh Sarma, Morris Riedel & Andreas Lintermann
Publié dans: Journal of Big Data, 2023, ISSN 2196-1115
Éditeur: Springer
DOI: 10.1186/s40537-023-00765-w

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

Auteurs: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Publié dans: Cleaner Energy Systems, Numéro 4, 2023, Page(s) 100058, ISSN 2772-7831
Éditeur: Elsevier
DOI: 10.1016/j.cles.2023.100058

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

Auteurs: Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
Publié dans: Future Generation Computer Systems, Numéro 159, 2024, Page(s) 474-488, ISSN 0167-739X
Éditeur: 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

Auteurs: Abel Gargallo-Peiró, Gonzalo Revilla, Matias Avila, Guillaume Houzeaux
Publié dans: Energies, Numéro 15, 2024, Page(s) 8877, ISSN 1996-1073
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15238877

Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

Auteurs: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Publié dans: Open Access Library Journal, 2022, ISSN 2333-9705
Éditeur: Scientific Research Publishing

CoE RAISE - data for actuated turbulent boundary layer flows

Auteurs: M. Albers, P. S. Meysonnat, D. Fernex, R. Seemaan, B. Noack, W. Schröder, A. Lintermann
Publié dans: 2023
Éditeur: EUDAT / Forschungszentrum Jülich GmbH
DOI: 10.34730/5dbc8e35f21241d0889906136cf28d26

AI4HPC

Auteurs: E. Inanc, R. Sarma, M. Aach, A. Lintermann
Publié dans: 2023
Éditeur: Zenodo
DOI: 10.5281/zenodo.7705417

Simulated datasets for detector and particle flow reconstruction: CLIC detector

Auteurs: J. Pata, E. Wulff, J. Duarte, F. Mokhtar, M. Zhang, M. Girone, D. Southwick
Publié dans: 2023
Éditeur: CERN
DOI: 10.5281/zenodo.8260741

Parallel Computing Accelerates Sequential Deep Networks Model in Turbulent Flow Forecasting

Auteurs: R. Hassanian, A. Helgadottir, M. Riedel
Publié dans: The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC22, 2022
Éditeur: SC 2022

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

Auteurs: Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann
Publié dans: Lecture Notes in Computer Science, High Performance Computing, 2022, Page(s) C2-C2
Éditeur: 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

Auteurs: Barakat, Chadi
Publié dans: 2023, ISBN 978-9935-9697-9-8
Éditeur: University of Iceland
DOI: 10.34734/fzj-2023-02488

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