Deliverables Open Research Data Pilot (1) Data Management Plan Document describing plans for openaccess dataset publication in relation to the working packages of this project Publications Conference proceedings (11) Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs Author(s): Heintz, Aneesh; Razavimaleki, Vesal; Duarte, Javier; Dezoort, Gage; Ojalvo, Isobel; Thais, Savannah; Atkinson, Markus; Neubauer, Mark; Gray, Lindsey; Jindariani, Sergo; Tran, Nhan; Harris, Philip; Rankin, Dylan; Aarrestad, Thea; Loncar, Vladimir; Pierini, Maurizio; Summers, Sioni; Jennifer Ngadiuba; Liu, Mia; Kreinar, Edward; Wu, Zhenbin Published in: Third Workshop on Machine Learning and the Physical Sciences, 2020 Publisher: NeurIPS DOI: 10.48550/arxiv.2012.01563 Particle Cloud Generation with Message Passing Generative Adversarial Networks Author(s): Kansal, Raghav; Duarte, Javier; Su, Hao; Orzari, Breno; Tomei, Thiago; Pierini, Maurizio; Touranakou, Mary; Vlimant, Jean-Roch; Gunopulos, Dimitrios Published in: Conference on Neural Information Processing Systems, 2022 Publisher: Conference on Neural Information Processing Systems DOI: 10.48550/arxiv.2106.11535 Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment Author(s): Pol, Adrian,; Berger, Victor; Cerminara, Gianluca; Germain, Cécile; Pierini, Maurizio Published in: https://hal.inria.fr/hal-02428005, Issue 8, 2019 Publisher: Machine Learning and the Physical Sciences Workshop at the 33rd Conference on Neural Information Processing Systems (NeurIPS) Anomaly Detection with Conditional Variational Autoencoders Author(s): Adrian Alan Pol, Victor Berger, Cecile Germain, Gianluca Cerminara, Maurizio Pierini Published in: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, Page(s) 1651-1657, ISBN 978-1-7281-4550-1 Publisher: IEEE DOI: 10.1109/icmla.2019.00270 Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup description Author(s): Martinez, Jesus Arjona; Nguyen, Thong Q; Pierini, Maurizio; Spiropulu, Maria; Vlimant, Jean-Roch Published in: Issue 8, 2020 Publisher: IOP Science DOI: 10.17863/CAM.54789 Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment Author(s): Pol, Adrian,; Berger, Victor; Cerminara, Gianluca; Germain, Cécile; Pierini, Maurizio Published in: ICMLA 2019, Issue 2, 2020 Publisher: International Conference on Machine Learning and Applications Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs Author(s): Heintz, Aneesh; Razavimaleki, Vesal; Duarte, Javier; DeZoort, Gage; Ojalvo, Isobel; Thais, Savannah; Atkinson, Markus; Neubauer, Mark; Gray, Lindsey; Jindariani, Sergo; Tran, Nhan; Harris, Philip; Rankin, Dylan; Aarrestad, Thea; Loncar, Vladimir; Pierini, Maurizio; Summers, Sioni; Ngadiuba, Jennifer; Liu, Mia; Kreinar, Edward; Wu, Zhenbin Published in: Third Workshop on Machine Learning and the Physical Sciences (NeurIPS 2020), Issue 5, 2020 Publisher: NeurIPS Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC Author(s): Breno Orzari; Thiago Tomei; Maurizio Pierini; Mary Touranakou; Javier Duarte; Raghav Kansal; Jean-Roch Vlimant; Dimitrios Gunopulos Published in: Proceedings of the 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Issue 2, 2020 Publisher: iopscience DOI: 10.48550/arxiv.2109.15197 Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics Author(s): Kansal, Raghav; Duarte, Javier; Orzari, Breno; Tomei, Thiago; Pierini, Maurizio; Touranakou, Mary; Vlimant, Jean-Roch; Gunopulos, Dimitrios Published in: Third Workshop on Machine Learning and the Physical Sciences, 2020 Publisher: NeurIPS hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices Author(s): Fahim, Farah; Hawks, Benjamin; Herwig, Christian; Hirschauer, James; Jindariani, Sergo; Tran, Nhan; Carloni, Luca P.; Di Guglielmo, Giuseppe; Harris, Philip; Krupa, Jeffrey; Rankin, Dylan; Valentin, Manuel Blanco; Hester, Josiah; Luo, Yingyi; Mamish, John; Orgrenci-Memik, Seda; Aarrestad, Thea; Javed, Hamza; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Summers, Sioni; Duarte, Javier; Hau Published in: TinyML Research Symposium 2021, 2021 Publisher: TinyML Research DOI: 10.48550/arxiv.2103.05579 hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices Author(s): Fahim, Farah; Hawks, Benjamin; Herwig, Christian; Hirschauer, James; Jindariani, Sergo; Tran, Nhan; Carloni, Luca P.; Di Guglielmo, Giuseppe; Harris, Philip; Krupa, Jeffrey; Rankin, Dylan; Valentin, Manuel Blanco; Hester, Josiah; Luo, Yingyi; Mamish, John; Orgrenci-Memik, Seda; Aarrestad, Thea; Javed, Hamza; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Summers, Sioni; Duarte, Javier; Hau Published in: Issue 1, 2021 Publisher: TinyML Research Symposium 2021 Peer reviewed articles (32) Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows Author(s): Pratik Jawahar1, Thea Aarrestad, Nadezda Chernyavskaya, Maurizio Pierini, Kinga A. Wozniak, Jennifer Ngadiuba, Javier Duarte, Steven Tsan Published in: Frontiers in Big Data, 2022, ISSN 2624-909X Publisher: Frontiers DOI: 10.3389/fdata.2022.803685 MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks Author(s): Joosep Pata, Javier Duarte, Jean-Roch Vlimant, Maurizio Pierini, Maria Spiropulu Published in: The European Physical Journal C, Issue 81/5, 2021, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-021-09158-w Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML Author(s): Giuseppe Di Guglielmo, Javier Mauricio Duarte, Philip Harris, Duc Hoang, Sergo Jindariani, Edward Kreinar, Mia Liu, Vladimir Loncar, Jennifer Ngadiuba, Kevin Pedro, Maurizio Pierini, Dylan Sheldon Rankin, Sheila Sagear, Sioni Paris Summers, Nhan Tran, Zhenbin Wu Published in: Machine Learning: Science and Technology, 2020, ISSN 2632-2153 Publisher: IOP DOI: 10.1088/2632-2153/aba042 Calorimetry with deep learning: particle simulation and reconstruction for collider physics Author(s): Dawit Belayneh, Federico Carminati, Amir Farbin, Benjamin Hooberman, Gulrukh Khattak, Miaoyuan Liu, Junze Liu, Dominick Olivito, Vitória Barin Pacela, Maurizio Pierini, Alexander Schwing, Maria Spiropulu, Sofia Vallecorsa, Jean-Roch Vlimant, Wei Wei, Matt Zhang Published in: The European Physical Journal C, Issue 80/7, 2020, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-020-8251-9 Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics Author(s): Yutaro Iiyama, Gianluca Cerminara, Abhijay Gupta, Jan Kieseler, Vladimir Loncar, Maurizio Pierini, Shah Rukh Qasim, Marcel Rieger, Sioni Summers, Gerrit Van Onsem, Kinga Anna Wozniak, Jennifer Ngadiuba, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Dylan Rankin, Sergo Jindariani, Mia Liu, Kevin Pedro, Nhan Tran, Edward Kreinar, Zhenbin Wu Published in: Frontiers in Big Data, Issue 3, 2021, ISSN 2624-909X Publisher: Frontier DOI: 10.3389/fdata.2020.598927 The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics. Author(s): Kasieczka, Gregor; Nachman, Benjamin; Shih, David; Amram, Oz; Andreassen, Anders; Benkendorfer, Kees; Bortolato, Blaz; Brooijmans, Gustaaf; Canelli, Florencia; Collins, Jack H.; Dai, Biwei; De Freitas, Felipe F.; Dillon, Barry M.; Dinu, Ioan-Mihail; Dong, Zhongtian; Donini, Julien; Duarte, Javier; Faroughy, D.A.; Gonski, Julia; Harris, Philip; Kahn, Alan; Kamenik, Jernej F.; Khosa, Charanjit K.; K Published in: Reports on Progress in Physics, 2021, ISSN 0034-4885 Publisher: Institute of Physics Publishing DOI: 10.1088/1361-6633/ac36b9 Fast inference of Boosted Decision Trees in FPGAs for particle physics Author(s): S. Summers, G. Di Guglielmo, J. Duarte, P. Harris, D. Hoang, S. Jindariani, E. Kreinar, V. Loncar, J. Ngadiuba, M. Pierini, D. Rankin, N. Tran, Z. Wu Published in: Journal of Instrumentation, Issue 15/05, 2020, Page(s) P05026-P05026, ISSN 1748-0221 Publisher: Institute of Physics DOI: 10.1088/1748-0221/15/05/p05026 Lightweight jet reconstruction and identification as an object detection task Author(s): Adrian Alan Pol, Thea Aarrestad, Ekaterina Govorkova, Roi Halily, Anat Klempner, Tal Kopetz, Vladimir Loncar, Jennifer Ngadiuba, Maurizio Pierini, Olya Sirkin Published in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153 Publisher: IOP DOI: 10.1088/2632-2153/ac7a02 A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC Author(s): Giuseppe Di Guglielmo; Farah Fahim; Christian Herwig; Manuel Blanco Valentin; Javier Duarte; Cristian V. Gingu; Philip Harris; J. Hirschauer; Martin Kwok; Vladimir Loncar; Yingyi Luo; Llovizna Miranda; Jennifer Ngadiuba; D. Noonan; Seda Ogrenci-Memik; Maurizio Pierini; Sioni Summers; Nhan Tran Published in: IEEE Transactions on Nuclear Science, Issue 2, 2021, ISSN 0018-9499 Publisher: Institute of Electrical and Electronics Engineers DOI: 10.1109/tns.2021.3087100 Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider Author(s): Govorkova, Ekaterina; Puljak, Ema; Aarrestad, Thea; James, Thomas; Loncar, Vladimir; Pierini, Maurizio; Pol, Adrian Alan; Ghielmetti, Nicolò; Graczyk, Maksymilian; Summers, Sioni; Ngadiuba, Jennifer; Nguyen, Thong Q.; Duarte, Javier; Wu, Zhenbin Published in: Nature Machine Intelligence, 2022, ISSN 2522-5839 Publisher: Nature Research DOI: 10.48550/arxiv.2108.03986 The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider Author(s): Thea Aarrestad; Melissa van Beekveld; Marcella Bona; Antonio Boveia; Sascha Caron; Joe Davies; Andrea de Simone; Caterina Doglioni; Javier Duarte; Amir Farbin; Honey Gupta; Luc Hendriks; Lukas A. Heinrich; James Howarth; Pratik Jawahar; Adil Jueid; Jessica Lastow; Adam Leinweber; Judita Mamuzic; Erzsébet Merényi; Alessandro Morandini; Polina Moskvitina; Clara Nellist; Jennifer Ngadiuba; Bryan Os Published in: SciPost physics 12(1), 043 (2022). doi:10.21468/SciPostPhys.12.1.043, Issue 13, 2022, ISSN 2542-4653 Publisher: SciPost DOI: 10.21468/scipostphys.12.1.043 JEDI-net: a jet identification algorithm based on interaction networks Author(s): Eric A. Moreno, Olmo Cerri, Javier M. Duarte, Harvey B. Newman, Thong Q. Nguyen, Avikar Periwal, Maurizio Pierini, Aidana Serikova, Maria Spiropulu, Jean-Roch Vlimant Published in: The European Physical Journal C, Issue 80/1, 2020, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-020-7608-4 Learning multivariate new physics Author(s): Raffaele Tito D’Agnolo, Gaia Grosso, Maurizio Pierini, Andrea Wulzer, Marco Zanetti Published in: The European Physical Journal C, Issue 81/1, 2021, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-021-08853-y Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml Author(s): Nicolò Ghielmetti; Vladimir Loncar; Maurizio Pierini; Marcel Roed; Sioni Summers; Thea Aarrestad; Christoffer Petersson; Hampus Linander; Jennifer Ngadiuba; Kelvin Lin; Philip Harris Published in: Machine Learning: Science and Technology, 3 (4), Issue 2, 2022, ISSN 2632-2153 Publisher: IOP Science DOI: 10.48550/arxiv.2205.07690 Learning new physics efficiently with nonparametric methods Author(s): Marco Letizia; Gianvito Losapio; Marco Rando; Gaia Grosso; Andrea Wulzer; Maurizio Pierini; Marco Zanetti; Lorenzo Rosasco Published in: European Physical Journal, Issue 12, 2022, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.48550/arxiv.2204.02317 Learning representations of irregular particle-detector geometry with distance-weighted graph networks Author(s): Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama, Maurizio Pierini Published in: The European Physical Journal C, Issue 79/7, 2019, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-019-7113-9 Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC Author(s): T. Q. Nguyen, D. Weitekamp, D. Anderson, R. Castello, O. Cerri, M. Pierini, M. Spiropulu, J-R. Vlimant Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036 Publisher: Springer International Publishing DOI: 10.1007/s41781-019-0028-1 Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider Author(s): Adrian Alan Pol, Gianluca Cerminara, Cecile Germain, Maurizio Pierini, Agrima Seth Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036 Publisher: Springer International Publishing DOI: 10.1007/s41781-018-0020-1 Fast inference of deep neural networks in FPGAs for particle physics Author(s): J. Duarte, S. Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Z. Wu Published in: Journal of Instrumentation, Issue 13/07, 2018, Page(s) P07027-P07027, ISSN 1748-0221 Publisher: Institute of Physics DOI: 10.1088/1748-0221/13/07/P07027 Pileup mitigation at the Large Hadron Collider with graph neural networks Author(s): J. Arjona Martínez, O. Cerri, M. Spiropulu, J. R. Vlimant, M. Pierini Published in: The European Physical Journal Plus, Issue 134/7, 2019, ISSN 2190-5444 Publisher: Springer Science + Business Media DOI: 10.1140/epjp/i2019-12710-3 Variational autoencoders for new physics mining at the Large Hadron Collider Author(s): Olmo Cerri, Thong Q. Nguyen, Maurizio Pierini, Maria Spiropulu, Jean-Roch Vlimant Published in: Journal of High Energy Physics, Issue 2019/5, 2019, ISSN 1029-8479 Publisher: Institute of Physics Publishing DOI: 10.1007/JHEP05(2019)036 FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing Author(s): Javier Duarte, Philip Harris, Scott Hauck, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Suffian Khan, Benjamin Kreis, Brian Lee, Mia Liu, Vladimir Lončar, Jennifer Ngadiuba, Kevin Pedro, Brandon Perez, Maurizio Pierini, Dylan Rankin, Nhan Tran, Matthew Trahms, Aristeidis Tsaris, Colin Versteeg, Ted W. Way, Dustin Werran, Zhenbin Wu Published in: Computing and Software for Big Science, Issue 3/1, 2019, ISSN 2510-2036 Publisher: Springer DOI: 10.1007/s41781-019-0027-2 The DNNLikelihood: enhancing likelihood distribution with Deep Learning Author(s): Andrea Coccaro, Maurizio Pierini, Luca Silvestrini, Riccardo Torre Published in: The European Physical Journal C, Issue 80/7, 2020, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.1140/epjc/s10052-020-8230-1 Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders Author(s): Mary Touranakou; Nadezda Chernyavskaya; Javier Duarte; Dimitrios Gunopulos; Raghav Kansal; Breno Orzari; Maurizio Pierini; Thiago Tomei; Jean-Roch Vlimant Published in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153 Publisher: IOP Science DOI: 10.1088/2632-2153/ac7c56 Jet Single Shot Detection Author(s): Adrian Alan Pol; Thea Klaeboe Aarrestad; Katya Govorkova; Roi Halily; Anat Klempner; Tal Kopetz; Vladimir Loncar; Jennifer Ngadiuba; Maurizio Pierini; Olya Sirkin; Sioni Summers Published in: EPJ Web of Conferences, Vol 251, p 04027 (2021), Issue 2, 2021, ISSN 2100-014X Publisher: EDP Science DOI: 10.48550/arxiv.2105.05785 Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors Author(s): Claudionor Coelho; Aki Kuusela; Li Shan; Hao Zhuang; Jennifer Ngadiuba; Thea Klaeboe Aarrestad; Vladimir Loncar; Maurizio Pierini; Adrian Alan Pol; Sioni Summers Published in: Nature Machine Intelligence, Issue 3, 2021, ISSN 2522-5839 Publisher: Nature Research DOI: 10.1038/s42256-021-00356-5 LHC physics dataset for unsupervised New Physics detection at 40 MHz Author(s): Ekaterina Govorkova; Ema Puljak; Thea Aarrestad; Maurizio Pierini; Kinga Anna Woźniak; Jennifer Ngadiuba Published in: Scientific Data, Issue 4, 2022, ISSN 2052-4463 Publisher: Nature Research DOI: 10.48550/arxiv.2107.02157 Interaction networks for the identification of boosted H → b b ¯ decays Author(s): Eric A. Moreno, Thong Q. Nguyen, Jean-Roch Vlimant, Olmo Cerri, Harvey B. Newman, Avikar Periwal, Maria Spiropulu, Javier M. Duarte, Maurizio Pierini Published in: Physical Review D, Issue 102/1, 2020, ISSN 2470-0010 Publisher: APS Physics DOI: 10.1103/physrevd.102.012010 Adversarially Learned Anomaly Detection on CMS open data: re-discovering the top quark Author(s): O. Knapp, O. Cerri, G. Dissertori, T. Q. Nguyen, M. Pierini, J. R. Vlimant Published in: The European Physical Journal Plus, Issue 136/2, 2021, ISSN 2190-5444 Publisher: Springer Science + Business Media DOI: 10.1140/epjp/s13360-021-01109-4 Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders Author(s): Eric A Moreno; Bartlomiej Borzyszkowski; Maurizio Pierini; Jean-Roch Vlimant; Maria Spiropulu Published in: Machine Learning: Science and Technology, 2022, ISSN 2632-2153 Publisher: IOP Science DOI: 10.1088/2632-2153/ac5435 Fast convolutional neural networks on FPGAs with hls4ml Author(s): Thea Klaeboe Aarrestad; Vladimir Loncar; Nicolò Ghielmetti; Maurizio Pierini; Sioni Summers; Jennifer Ngadiuba; Christoffer Petersson; Hampus Linander; Yutaro Iiyama; Giuseppe Di Guglielmo; Javier Duarte; Philip Harris; Dylan Rankin; Sergo Jindariani; Kevin Pedro; Nhan Tran; Mia Liu; Edward Kreinar; Zhenbin Wu; Duc Hoang Published in: Machine Learning: Science and Technology, 2021, ISSN 2632-2153 Publisher: IOP Science DOI: 10.1088/2632-2153/ac0ea1 End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks Author(s): Shah Rukh Qasim; Nadezda Chernyavskaya; Jan Kieseler; Kenneth Long; Oleksandr Viazlo; Maurizio Pierini; Raheel Nawaz Published in: European Physical Journal, Issue 4, 2022, ISSN 1434-6044 Publisher: Springer Verlag DOI: 10.48550/arxiv.2204.01681 Other (3) Unravelling physics beyond the standard model with classical and quantum anomaly detection Author(s): Julian Schuhmacher, Laura Boggia, Vasilis Belis, Ema Puljak, Michele Grossi, Maurizio Pierini, Sofia Vallecorsa, Francesco Tacchino, Panagiotis Barkoutsos, Ivano Tavernelli Published in: 2023 Publisher: CERN LHC analysis-specific datasets with Generative Adversarial Networks Author(s): Hashemi, Bobak; Amin, Nick; Datta, Kaustuv; Olivito, Dominick; Pierini, Maurizio Published in: Issue 1, 2019 Publisher: CERN Quantum anomaly detection in the latent space of proton collision events at the LHC Author(s): Kinga Anna Woźniak, Vasilis Belis, Ema Puljak, Panagiotis Barkoutsos, Günther Dissertori, Michele Grossi, Maurizio Pierini, Florentin Reiter, Ivano Tavernelli, Sofia Vallecorsa Published in: 2023 Publisher: CERN Thesis dissertations (2) Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring Author(s): Pol, Adrian Alan Published in: https://tel.archives-ouvertes.fr/tel-02924477, Issue 5, 2020 Publisher: LRI - Laboratoire de Recherche en Informatique Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'expérience Compact Muon Solenoid Author(s): Pol, Adrian Alan Published in: https://tel.archives-ouvertes.fr/tel-02924477, Issue 2, 2020 Publisher: Inria Saclay Book chapters (2) Distributed Training and Optimization Of Neural Networks Author(s): Vlimant, Jean-Roch; Yin, Junqi Published in: Artificial Intelligence for High Energy Physics, Issue 1, 2022, ISBN 978-981-123-403-3 Publisher: World Scientific DOI: 10.48550/arxiv.2012.01839 Graph Neural Networks for Particle Tracking and Reconstruction Author(s): Duarte, Javier; Vlimant, Jean-Roch Published in: Artificial Intelligence for High Energy Physics, Issue 2, 2022 Publisher: World Scientific DOI: 10.48550/arxiv.2012.01249 Searching for OpenAIRE data... 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