Research on AI- and Simulation-Based Engineering at Exascale

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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

Publikacje

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

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

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

Autorzy: G. Cavallaro, R. Sedona, M. Riedel, A. Lintermann, K. Michielsen
Opublikowane w: Proceedings of the 2023 Conference on Big Data from Space (BiDS’23) - From foresight to impact, 2023, Strona(/y) 25-28
Wydawca: 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

Autorzy: Hassanian, Reza; Riedel, Morris; Helgadottir, Asdis; Costa, Pedro; Bouhlali, Lahcen
Opublikowane w: Numer 3, 2022
Wydawca: ParCFD

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

Autorzy: M. Riedel, C. Barakat, S. Fritsch, M. Aach, J. Busch, A. Lintermann, A. Schuppert, S. Brynjólfsson, H. Neukirchen, M. Book
Opublikowane w: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 2023, Strona(/y) 435-440
Wydawca: IEEE
DOI: 10.23919/mipro57284.2023.10159755

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

Autorzy: M. Aach, E. Inanc, R. Sarma, M. Riedel, A. Lintermann
Opublikowane w: Proceedings of the Second International Conference on Automated Machine Learning (AutoML), Numer Vol. 228, 2023, Strona(/y) 12/1—-17
Wydawca: Proceedings of Machine Learning Research (PMLR)

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

Autorzy: R. Hassanian, A. Helgadottir, C. Velte, M. Riedel
Opublikowane w: APS 76th Annual Meeting of the Division of Fluid Dynamics, Bulletin of the American Physical Society, 2023
Wydawca: American Physical Society

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

Autorzy: R. Hassanian, P. Costa, A. Helgadottir, M. Riedel
Opublikowane w: 5th International Conference on Numerical Methods in Multiphase Flows (ICNMMF-5), 2024
Wydawca: University of Iceland

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

Autorzy: R. Sarma, M. Albers, E. Inanc, M. Aach, W. Schröder, A. Lintermann
Opublikowane w: ParCFD2022 33rd International Conference on Parallel Computational Fluid Dynamics, 2022
Wydawca: Forschungszentrum Jülich GmbH

Educational Service Platform for Artificial Intelligence Resources

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

Quantum Support Vector Machine Algorithms for Remote Sensing Data Classification

Autorzy: Amer Delilbasic; Gabriele Cavallaro; Madita Willsch; Farid Melgani; Morris Riedel; Kristel Michielsen
Opublikowane w: IEEE 2608-2611 (2021). doi:10.1109/IGARSS47720.2021.9554802, Numer 1, 2021
Wydawca: IEEE
DOI: 10.1109/igarss47720.2021.9554802

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

Autorzy: Eric Michael Sumner, Marcel Aach, Andreas Lintermann, Runar Unnthorsson, Morris Riedel
Opublikowane w: 2022 26th International Conference on Information Technology (IT), Numer 585, 2022, Strona(/y) 1-4, ISBN 978-1-6654-2127-0
Wydawca: 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

Autorzy: Hassanian, R. ; Helgadottir, A. ; Aach, M. ; Lintermann, A. ; Riedel, M.
Opublikowane w: 2023
Wydawca: IACM Computational Fluids Conference (CFC2023)

Short Paper: Accelerating Hyperparameter Optimization Algorithms with Mixed Precision

Autorzy: Marcel Aach, Rakesh Sarma, Eray Inanc, Morris Riedel, Andreas Lintermann
Opublikowane w: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, 2024, Strona(/y) 1776-1779
Wydawca: ACM
DOI: 10.1145/3624062.3624259

Replicating Human Sound Localization with a Multi-Layer Perceptron

Autorzy: E. M. Sumner, R. Unnthorsson, M. Riedel
Opublikowane w: Proceedings of the 19th Sound and Music Computing Conference, 2022
Wydawca: Zenodo
DOI: 10.5281/zenodo.6797854

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

Autorzy: Aach, Marcel; Sedona, Rocco; Lintermann, Andreas; Cavallaro, Gabriele; Neukirchen, Helmut; Riedel, Morris
Opublikowane w: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, Kuala Lumpur, Malaysia, 2022-07-17 - 2022-07-22, Numer 2, 2022, ISSN 2022-03638
Wydawca: 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

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

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

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

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

Autorzy: M. Aach, E. Wulff, E. Pasetto, A. Delilbasic, R. Sarma, E. Inanc, M. Girone, M. Riedel, A. Linter- mann
Opublikowane w: ISC High Performance 2023, ISC’23, 2023
Wydawca: Forschungszentrum Jülich GmbH

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

Autorzy: Rocco Sedona, Claudia Paris, Liang Tian, Morris Riedel, Gabriele Cavallaro
Opublikowane w: IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022, Strona(/y) 203-206
Wydawca: 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

Autorzy: Morris Riedel, Gabriele Cavallaro, Jon Atli Benediktsson
Opublikowane w: 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, Numer 11, 2022, Strona(/y) 1571-1574, ISSN 2153-7003
Wydawca: IEEE
DOI: 10.1109/igarss47720.2021.9554656

A Case Study on Coupling OpenFOAM with Different Machine Learning Frameworks

Autorzy: Fabian Orland, Kim Sebastian Brose, Julian Bissantz, Federica Ferraro, Christian Terboven, Christian Hasse
Opublikowane w: 2022 IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications (AI4S), Numer 52, 2023, Strona(/y) 7-12
Wydawca: IEEE
DOI: 10.1109/ai4s56813.2022.00007

Mechanical Elements Analysis of Stewart Platform: Computational Approach

Autorzy: Reza Hassanian and Morris Riedel
Opublikowane w: International Journal of Science and Research, 2022, ISSN 2319-7064
Wydawca: International Journal of Science and Research

Hyperparameter optimization of data-driven AI models on HPC systems

Autorzy: Eric Wulff, Maria Girone, Joosep Pata
Opublikowane w: Journal of Physics: Conference Series, Numer 2438, 2023, Strona(/y) 012092, ISSN 1742-6588
Wydawca: Institute of Physics
DOI: 10.1088/1742-6596/2438/1/012092

Wind Velocity and Forced Heat Transfer Model for Photovoltaic Module

Autorzy: Reza Hassanian, Nashmin Yeganeh, Morris Riedel
Opublikowane w: Fluids, Numer 9, 2024, Strona(/y) 17, ISSN 2311-5521
Wydawca: MDPI
DOI: 10.3390/fluids9010017

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

Autorzy: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Opublikowane w: Fluids, Numer 7, 2024, Strona(/y) 344, ISSN 2311-5521
Wydawca: MDPI
DOI: 10.3390/fluids7110344

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

Autorzy: Dorian Dupuy, Nicolas Odier, Corentin Lapeyre, Dimitrios Papadogiannis
Opublikowane w: Data-Centric Engineering, Numer 4, 2023, ISSN 2632-6736
Wydawca: Cambridge Core
DOI: 10.1017/dce.2023.2

AI-assisted modeling of capillary-driven droplet dynamics

Autorzy: Andreas D. Demou, Nikos Savva
Opublikowane w: Data-Centric Engineering, Numer 4, 2023, Strona(/y) e24, ISSN 2632-6736
Wydawca: Cambridge University Press
DOI: 10.1017/dce.2023.19

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

Autorzy: Amer Delilbasic, Bertrand Le Saux, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Opublikowane w: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numer 17, 2024, Strona(/y) 1434-1445, ISSN 1939-1404
Wydawca: 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

Autorzy: Reza Hassanian, Morris Riedel
Opublikowane w: Computation, Numer 11, 2023, Strona(/y) 227, ISSN 2079-3197
Wydawca: MDPI
DOI: 10.3390/computation11110227

HPC-enabling technologies for high-fidelity combustion simulations

Autorzy: Daniel Mira, Eduardo J. Pérez-Sánchez, Ricard Borrell, Guillaume Houzeaux
Opublikowane w: Proceedings of the Combustion Institute, Numer 39, 2024, Strona(/y) 5091-5125, ISSN 1540-7489
Wydawca: 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

Autorzy: R. Hassanian, H. Myneni, Á. Helgadóttir, M. Riedel
Opublikowane w: Physics of Fluids, Numer 35, 2023, Strona(/y) 075118, ISSN 1070-6631
Wydawca: American Institute of Physics
DOI: 10.1063/5.0157897

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

Autorzy: Victor Coulon, Jessica Gaucherand, Victor Xing, Davide Laera, Corentin Lapeyre, Thierry Poinsot
Opublikowane w: Combustion and Flame, Numer Volume 256, 2023, ISSN 0010-2180
Wydawca: 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

Autorzy: Chadi S. Barakat, Konstantin Sharafutdinov, Josefine Busch, Sina Saffaran, Declan G. Bates, Jonathan G. Hardman, Andreas Schuppert, Sigurður Brynjólfsson, Sebastian Fritsch, Morris Riedel
Opublikowane w: Diagnostics, Numer 13, 2023, Strona(/y) 2098, ISSN 2075-4418
Wydawca: MDPI
DOI: 10.3390/diagnostics13122098

Machine Learning for Particle Flow Reconstruction at CMS

Autorzy: Joosep Pata, Javier Duarte, Farouk Mokhtar, Eric Wulff, Jieun Yoo, Jean-Roch Vlimant, Maurizio Pierini, Maria Girone
Opublikowane w: Journal of Physics: Conference Series, Numer 2438, 2023, Strona(/y) 012100, ISSN 1742-6588
Wydawca: 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

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

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

Autorzy: Fabian Hübenthal, Marian Albers, Matthias Meinke, Wolfgang Schröder
Opublikowane w: PAMM, Numer 23, 2024, ISSN 1617-7061
Wydawca: 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

Autorzy: Chadi Barakat; Marcel Aach; Andreas Schuppert; Sigurður Brynjólfsson; Sebastian Fritsch; Morris Riedel
Opublikowane w: Diagnostics, Numer Volume 13, Numer 3, March 2023, 2023, Strona(/y) Basel, Switzerland, ISSN 2075-4418
Wydawca: MDPI
DOI: 10.3390/diagnostics13030391

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

Autorzy: Reza Hassanian, Morris Riedel, Asdis Helgadottir, Nashmin Yeganeh and Runar Unnthorsson
Opublikowane w: Thermo, 2022, ISSN 2673-7264
Wydawca: MDPI
DOI: 10.3390/thermo2010004

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

Autorzy: R. Hassanian, Á. Helgadóttir, L. Bouhlali, M. Riedel
Opublikowane w: Physics of Fluids, Numer 35, 2023, Strona(/y) 015124, ISSN 1070-6631
Wydawca: American Institute of Physics
DOI: 10.1063/5.0134306

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

Autorzy: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Opublikowane w: Journal of Solar and Photoenergy Systems, 2022, ISSN 2577-8374
Wydawca: Crimson Publishers

Kernel Approximation on a Quantum Annealer for Remote Sensing Regression Tasks

Autorzy: Edoardo Pasetto, Morris Riedel, Kristel Michielsen, Gabriele Cavallaro
Opublikowane w: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Numer 17, 2024, Strona(/y) 3262-3269, ISSN 1939-1404
Wydawca: 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

Autorzy: Reza Hassanian, Abdollah Shahinfar, Ásdís Helgadóttir, Morris Riedel
Opublikowane w: Acta Polytechnica Hungarica, Numer 21, 2024, Strona(/y) 45-56, ISSN 1785-8860
Wydawca: 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

Autorzy: Juan Pablo García Amboage, Eric Wulff, Maria Girone, Tomás F. Pena
Opublikowane w: EPJ Web of Conferences, Numer 295, 2024, Strona(/y) 12005, ISSN 2100-014X
Wydawca: EDP science
DOI: 10.1051/epjconf/202429512005

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

Autorzy: Rocco Sedona, Claudia Paris, Jan Ebert, Morris Riedel, Gabriele Cavallaro
Opublikowane w: IEEE Geoscience and Remote Sensing Letters, Numer 20, 2024, Strona(/y) 1-5, ISSN 1545-598X
Wydawca: 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

Autorzy: Mario Rüttgers, Moritz Waldmann, Klaus Vogt, Justus Ilgner, Wolfgang Schröder, Andreas Lintermann
Opublikowane w: Computers in Biology and Medicine, Numer 173, 2024, Strona(/y) 108383, ISSN 0010-4825
Wydawca: 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

Autorzy: Aito Higashida, Kazuto Ando, Mario Rüttgers, Andreas Lintermann, Makoto Tsubokura
Opublikowane w: Future Generation Computer Systems, Numer 159, 2024, Strona(/y) 243-254, ISSN 0167-739X
Wydawca: 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

Autorzy: Cyril Blanc, Ayyoub Ahar, Kurt De Grave
Opublikowane w: Additive Manufacturing Letters, Numer 7, 2023, Strona(/y) 100161, ISSN 2772-3690
Wydawca: 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

Autorzy: Reza Hassanian, Morris Riedel, Nashmin Yeganeh and Runar Unnthorsson
Opublikowane w: Solar, 2021, ISSN 2673-9941
Wydawca: MDPI
DOI: 10.3390/solar1010005

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

Autorzy: Reza Hassanian, Morris Riedel
Opublikowane w: Machines, Numer 11, 2023, Strona(/y) 566, ISSN 2075-1702
Wydawca: MDPI
DOI: 10.3390/machines11050566

Distributed hybrid quantum-classical performance prediction for hyperparameter optimization

Autorzy: 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
Opublikowane w: Quantum Machine Intelligence, Numer 6, 2024, ISSN 2524-4906
Wydawca: Springer
DOI: 10.1007/s42484-024-00198-5

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

Autorzy: Andreas D. Demou, Nikos Savva
Opublikowane w: Mathematics, Numer 12, 2024, Strona(/y) 1188, ISSN 2227-7390
Wydawca: 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

Autorzy: Reza Hassanian, Marcel Aach, Andreas Lintermann, Ásdís Helgadóttir, Morris Riedel
Opublikowane w: Fluids, Numer 9, 2024, Strona(/y) 84, ISSN 2311-5521
Wydawca: MDPI
DOI: 10.3390/fluids9040084

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

Autorzy: Pata, Joosep; Wulff, Eric; Mokhtar, Farouk; Southwick, David; Zhang, Mengke; Girone, Maria; Duarte, Javier
Opublikowane w: Communications Physics, Numer 124, 2024, ISSN 2399-3650
Wydawca: Communications Physics
DOI: 10.1038/s42005-024-01599-5

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

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

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

Autorzy: Reza Hassanian, Ásdís Helgadóttir, Morris Riedel
Opublikowane w: Cleaner Energy Systems, Numer 4, 2023, Strona(/y) 100058, ISSN 2772-7831
Wydawca: Elsevier
DOI: 10.1016/j.cles.2023.100058

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

Autorzy: Xin Liu, Mario Rüttgers, Alessio Quercia, Romain Egele, Elisabeth Pfaehler, Rushikesh Shende, Marcel Aach, Wolfgang Schröder, Prasanna Balaprakash, Andreas Lintermann
Opublikowane w: Future Generation Computer Systems, Numer 159, 2024, Strona(/y) 474-488, ISSN 0167-739X
Wydawca: 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

Autorzy: Abel Gargallo-Peiró, Gonzalo Revilla, Matias Avila, Guillaume Houzeaux
Opublikowane w: Energies, Numer 15, 2024, Strona(/y) 8877, ISSN 1996-1073
Wydawca: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/en15238877

Numerical Investigation on the Acceleration Vibration Response of Linear Actuator

Autorzy: Reza Hassanian, Morris Riedel and Nashmin Yeganeh
Opublikowane w: Open Access Library Journal, 2022, ISSN 2333-9705
Wydawca: Scientific Research Publishing

CoE RAISE - data for actuated turbulent boundary layer flows

Autorzy: M. Albers, P. S. Meysonnat, D. Fernex, R. Seemaan, B. Noack, W. Schröder, A. Lintermann
Opublikowane w: 2023
Wydawca: EUDAT / Forschungszentrum Jülich GmbH
DOI: 10.34730/5dbc8e35f21241d0889906136cf28d26

AI4HPC

Autorzy: E. Inanc, R. Sarma, M. Aach, A. Lintermann
Opublikowane w: 2023
Wydawca: Zenodo
DOI: 10.5281/zenodo.7705417

Simulated datasets for detector and particle flow reconstruction: CLIC detector

Autorzy: J. Pata, E. Wulff, J. Duarte, F. Mokhtar, M. Zhang, M. Girone, D. Southwick
Opublikowane w: 2023
Wydawca: CERN
DOI: 10.5281/zenodo.8260741

Parallel Computing Accelerates Sequential Deep Networks Model in Turbulent Flow Forecasting

Autorzy: R. Hassanian, A. Helgadottir, M. Riedel
Opublikowane w: The International Conference for High Performance Computing, Networking, Storage, and Analysis, SC22, 2022
Wydawca: SC 2022

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

Autorzy: Mario Rüttgers, Moritz Waldmann, Wolfgang Schröder, Andreas Lintermann
Opublikowane w: Lecture Notes in Computer Science, High Performance Computing, 2022, Strona(/y) C2-C2
Wydawca: 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

Autorzy: Barakat, Chadi
Opublikowane w: 2023, ISBN 978-9935-9697-9-8
Wydawca: University of Iceland
DOI: 10.34734/fzj-2023-02488

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