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Ngonga Ngomo, “Out-of-Vocabulary Entities in Link Prediction,” <i>CoRR</i>, vol. abs/2105.12524, 2021.","chicago":"Demir, Caglar, and Axel-Cyrille Ngonga Ngomo. “Out-of-Vocabulary Entities in Link Prediction.” <i>CoRR</i> abs/2105.12524 (2021)."},"year":"2021","volume":"abs/2105.12524","author":[{"first_name":"Caglar","last_name":"Demir","full_name":"Demir, Caglar","id":"43817"},{"first_name":"Axel-Cyrille","last_name":"Ngonga Ngomo","full_name":"Ngonga Ngomo, Axel-Cyrille","id":"65716"}],"date_created":"2021-10-01T06:55:36Z","date_updated":"2022-01-06T06:56:55Z","title":"Out-of-Vocabulary Entities in Link Prediction","publication":"CoRR","type":"journal_article","status":"public","department":[{"_id":"574"}],"user_id":"65716","_id":"25215","language":[{"iso":"eng"}]},{"citation":{"ama":"Demir C, Ngonga Ngomo A-C. 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Ngonga Ngomo, CoRR abs/2106.15373 (2021)."},"year":"2021","volume":"abs/2106.15373","date_created":"2021-10-01T06:56:48Z","author":[{"first_name":"Caglar","last_name":"Demir","id":"43817","full_name":"Demir, Caglar"},{"last_name":"Ngonga Ngomo","id":"65716","full_name":"Ngonga Ngomo, Axel-Cyrille","first_name":"Axel-Cyrille"}],"date_updated":"2022-01-06T06:56:55Z","title":"DRILL- Deep Reinforcement Learning for Refinement Operators in ALC","publication":"CoRR","type":"journal_article","status":"public","department":[{"_id":"574"}],"user_id":"65716","_id":"25217","language":[{"iso":"eng"}]},{"date_updated":"2022-01-06T06:56:56Z","date_created":"2021-10-01T12:58:36Z","author":[{"first_name":"Florian","id":"50293","full_name":"Laux, Florian","last_name":"Laux"},{"first_name":"Thomas","full_name":"Görzen, Thomas","last_name":"Görzen"}],"title":"Trust Me, I’m Confident – Are Confident Members of the Crowd Better at Evaluating Business Model Ideas?","conference":{"name":"Proceedings of the 42nd International Conference on Information Systems (ICIS)"},"publication_status":"accepted","year":"2021","citation":{"bibtex":"@inproceedings{Laux_Görzen, title={Trust Me, I’m Confident – Are Confident Members of the Crowd Better at Evaluating Business Model Ideas?}, booktitle={Proceedings of the 42nd International Conference on Information Systems (ICIS)}, author={Laux, Florian and Görzen, Thomas} }","short":"F. 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In: <i>Proceedings of the 42nd International Conference on Information Systems (ICIS)</i>.","chicago":"Laux, Florian, and Thomas Görzen. “Trust Me, I’m Confident – Are Confident Members of the Crowd Better at Evaluating Business Model Ideas?” In <i>Proceedings of the 42nd International Conference on Information Systems (ICIS)</i>, n.d.","ieee":"F. Laux and T. Görzen, “Trust Me, I’m Confident – Are Confident Members of the Crowd Better at Evaluating Business Model Ideas?,” presented at the Proceedings of the 42nd International Conference on Information Systems (ICIS)."},"_id":"25242","department":[{"_id":"276"}],"user_id":"16205","language":[{"iso":"eng"}],"publication":"Proceedings of the 42nd International Conference on Information Systems (ICIS)","type":"conference","status":"public"},{"citation":{"ama":"Engelkemeier K, Sun A, Voswinkel D, Grydin O, Schaper M, Bremser W. Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte. <i>ChemElectroChem</i>. Published online 2021:2155-2168. doi:<a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>","ieee":"K. Engelkemeier, A. Sun, D. Voswinkel, O. Grydin, M. Schaper, and W. Bremser, “Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte,” <i>ChemElectroChem</i>, pp. 2155–2168, 2021, doi: <a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>.","chicago":"Engelkemeier, Katja, Aijia Sun, Dietrich Voswinkel, Olexandr Grydin, Mirko Schaper, and Wolfgang Bremser. “Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte.” <i>ChemElectroChem</i>, 2021, 2155–68. <a href=\"https://doi.org/10.1002/celc.202100216\">https://doi.org/10.1002/celc.202100216</a>.","apa":"Engelkemeier, K., Sun, A., Voswinkel, D., Grydin, O., Schaper, M., &#38; Bremser, W. (2021). Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte. <i>ChemElectroChem</i>, 2155–2168. <a href=\"https://doi.org/10.1002/celc.202100216\">https://doi.org/10.1002/celc.202100216</a>","short":"K. Engelkemeier, A. Sun, D. Voswinkel, O. Grydin, M. Schaper, W. Bremser, ChemElectroChem (2021) 2155–2168.","bibtex":"@article{Engelkemeier_Sun_Voswinkel_Grydin_Schaper_Bremser_2021, title={Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte}, DOI={<a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>}, journal={ChemElectroChem}, author={Engelkemeier, Katja and Sun, Aijia and Voswinkel, Dietrich and Grydin, Olexandr and Schaper, Mirko and Bremser, Wolfgang}, year={2021}, pages={2155–2168} }","mla":"Engelkemeier, Katja, et al. “Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte.” <i>ChemElectroChem</i>, 2021, pp. 2155–68, doi:<a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>."},"page":"2155-2168","year":"2021","publication_status":"published","publication_identifier":{"issn":["2196-0216","2196-0216"]},"doi":"10.1002/celc.202100216","title":"Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte","date_created":"2021-10-04T08:35:07Z","author":[{"first_name":"Katja","last_name":"Engelkemeier","full_name":"Engelkemeier, Katja"},{"full_name":"Sun, Aijia","last_name":"Sun","first_name":"Aijia"},{"first_name":"Dietrich","full_name":"Voswinkel, Dietrich","last_name":"Voswinkel"},{"first_name":"Olexandr","full_name":"Grydin, Olexandr","last_name":"Grydin"},{"first_name":"Mirko","last_name":"Schaper","full_name":"Schaper, Mirko"},{"first_name":"Wolfgang","full_name":"Bremser, Wolfgang","id":"32","last_name":"Bremser"}],"date_updated":"2022-01-06T06:56:58Z","status":"public","type":"journal_article","publication":"ChemElectroChem","language":[{"iso":"eng"}],"user_id":"32","department":[{"_id":"321"},{"_id":"301"}],"_id":"25272"},{"type":"conference","publication":"2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS'21)","abstract":[{"lang":"eng","text":"Using Service Function Chaining (SFC) in wireless networks became popular in many domains like networking and multimedia. It relies on allocating network resources to incoming SFCs requests, via a Virtual Network Embedding (VNE) algorithm, so that it optimizes the performance of the SFC. When the load of incoming requests -- competing for the limited network resources -- increases, it becomes challenging to decide which requests should be admitted and which one should be rejected. In this work, we propose a deep Reinforcement learning (RL) solution that can learn the admission policy for different dependencies, such as the service lifetime and the priority of incoming requests. We compare the deep RL solution to a first-come-first-serve baseline that admits a request whenever there are available resources. We show that deep RL outperforms the baseline and provides higher acceptance rate with low rejections even when there are enough resources."}],"file":[{"content_type":"application/pdf","success":1,"relation":"main_file","date_updated":"2021-10-04T10:43:19Z","creator":"hafifi","date_created":"2021-10-04T10:43:19Z","file_size":534737,"access_level":"closed","file_id":"25279","file_name":"Preprint___Reinforcement_Learning_for_Dynamic_Resource_Allocation_in_Wireless_Networks.pdf"}],"status":"public","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"_id":"25278","user_id":"65718","ddc":["000"],"keyword":["reinforcement learning","admission control","wireless sensor networks"],"language":[{"iso":"eng"}],"file_date_updated":"2021-10-04T10:43:19Z","has_accepted_license":"1","year":"2021","place":"Hyderabad, India","citation":{"ieee":"H. Afifi, F. J. Sauer, and H. Karl, “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding,” 2021.","chicago":"Afifi, Haitham, Fabian Jakob Sauer, and Holger Karl. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” In <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>. Hyderabad, India, 2021.","ama":"Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. In: <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>. ; 2021.","apa":"Afifi, H., Sauer, F. J., &#38; Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>.","short":"H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.","bibtex":"@inproceedings{Afifi_Sauer_Karl_2021, place={Hyderabad, India}, title={Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding}, booktitle={2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)}, author={Afifi, Haitham and Sauer, Fabian Jakob and Karl, Holger}, year={2021} }","mla":"Afifi, Haitham, et al. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>, 2021."},"date_updated":"2022-01-06T06:56:58Z","author":[{"first_name":"Haitham","id":"65718","full_name":"Afifi, Haitham","last_name":"Afifi"},{"first_name":"Fabian Jakob","full_name":"Sauer, Fabian Jakob","last_name":"Sauer"},{"last_name":"Karl","full_name":"Karl, Holger","id":"126","first_name":"Holger"}],"date_created":"2021-10-04T10:42:20Z","title":"Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding"},{"citation":{"apa":"Afifi, H., Guenther, M., Brendel, A., Karl, H., &#38; Kellermann, W. (2021). Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. <i>14. ITG Conference on Speech Communication (ITG 2021)</i>.","bibtex":"@inproceedings{Afifi_Guenther_Brendel_Karl_Kellermann_2021, title={Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities}, booktitle={14. ITG Conference on Speech Communication (ITG 2021)}, author={Afifi, Haitham and Guenther, Michael and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2021} }","mla":"Afifi, Haitham, et al. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” <i>14. ITG Conference on Speech Communication (ITG 2021)</i>, 2021.","short":"H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference on Speech Communication (ITG 2021), 2021.","ama":"Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. In: <i>14. ITG Conference on Speech Communication (ITG 2021)</i>. ; 2021.","ieee":"H. Afifi, M. Guenther, A. Brendel, H. Karl, and W. Kellermann, “Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities,” 2021.","chicago":"Afifi, Haitham, Michael Guenther, Andreas Brendel, Holger Karl, and Walter Kellermann. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” In <i>14. ITG Conference on Speech Communication (ITG 2021)</i>, 2021."},"year":"2021","has_accepted_license":"1","title":"Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities","date_created":"2021-10-04T10:59:50Z","author":[{"first_name":"Haitham","last_name":"Afifi","full_name":"Afifi, Haitham","id":"65718"},{"full_name":"Guenther, Michael","last_name":"Guenther","first_name":"Michael"},{"full_name":"Brendel, Andreas","last_name":"Brendel","first_name":"Andreas"},{"first_name":"Holger","id":"126","full_name":"Karl, Holger","last_name":"Karl"},{"first_name":"Walter","full_name":"Kellermann, Walter","last_name":"Kellermann"}],"date_updated":"2022-01-06T06:56:59Z","file":[{"success":1,"relation":"main_file","content_type":"application/pdf","file_size":283616,"file_id":"25282","access_level":"closed","file_name":"ITG_2021_paper_26 (3).pdf","date_updated":"2021-10-04T10:58:07Z","date_created":"2021-10-04T10:58:07Z","creator":"hafifi"}],"status":"public","abstract":[{"text":"Wireless Acoustic Sensor Networks (WASNs) have a wide range of audio signal processing applications. Due to the spatial diversity of the microphone and their relative position to the acoustic source, not all microphones are equally useful for subsequent audio signal processing tasks, nor do they all have the same wireless data transmission rates. Hence, a central task in WASNs is to balance a microphone’s estimated acoustic utility against its transmission delay, selecting a best-possible subset of microphones to record audio signals.\r\n\r\nIn this work, we use reinforcement learning to decide if a microphone should be used or switched off to maximize the acoustic quality at low transmission delays, while minimizing switching frequency. In experiments with moving sources in a simulated acoustic environment, our method outperforms naive baseline comparisons","lang":"eng"}],"type":"conference","publication":"14. ITG Conference on Speech Communication (ITG 2021)","language":[{"iso":"eng"}],"file_date_updated":"2021-10-04T10:58:07Z","ddc":["620"],"keyword":["microphone utility","microphone selection","wireless acoustic sensor network","network delay","reinforcement learning"],"user_id":"65718","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"_id":"25281"},{"status":"public","type":"conference","publication":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","language":[{"iso":"eng"}],"user_id":"65718","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"_id":"25293","citation":{"ama":"Gunther M, Afifi H, Brendel A, Karl H, Kellermann W. Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. In: <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. ; 2021. doi:<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>","ieee":"M. Gunther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks,” 2021, doi: <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>.","chicago":"Gunther, Michael, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks.” In <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021. <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">https://doi.org/10.1109/icassp39728.2021.9414528</a>.","bibtex":"@inproceedings{Gunther_Afifi_Brendel_Karl_Kellermann_2021, title={Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks}, DOI={<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Gunther, Michael and Afifi, Haitham and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2021} }","short":"M. Gunther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.","mla":"Gunther, Michael, et al. “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks.” <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021, doi:<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>.","apa":"Gunther, M., Afifi, H., Brendel, A., Karl, H., &#38; Kellermann, W. (2021). Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">https://doi.org/10.1109/icassp39728.2021.9414528</a>"},"year":"2021","publication_status":"published","doi":"10.1109/icassp39728.2021.9414528","title":"Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks","author":[{"full_name":"Gunther, Michael","last_name":"Gunther","first_name":"Michael"},{"last_name":"Afifi","id":"65718","full_name":"Afifi, Haitham","first_name":"Haitham"},{"last_name":"Brendel","full_name":"Brendel, Andreas","first_name":"Andreas"},{"full_name":"Karl, Holger","id":"126","last_name":"Karl","first_name":"Holger"},{"first_name":"Walter","last_name":"Kellermann","full_name":"Kellermann, Walter"}],"date_created":"2021-10-04T12:28:40Z","date_updated":"2022-01-06T06:56:59Z"},{"author":[{"first_name":"Marcus","last_name":"Brinkmann","full_name":"Brinkmann, Marcus"},{"first_name":"Christian","full_name":"Dresen, Christian","last_name":"Dresen"},{"first_name":"Robert","full_name":"Merget, Robert","last_name":"Merget"},{"first_name":"Damian","last_name":"Poddebniak","full_name":"Poddebniak, Damian"},{"first_name":"Jens","full_name":"Müller, Jens","last_name":"Müller"},{"id":"83504","full_name":"Somorovsky, Juraj","last_name":"Somorovsky","orcid":"0000-0002-3593-7720","first_name":"Juraj"},{"last_name":"Schwenk","full_name":"Schwenk, Jörg","first_name":"Jörg"},{"full_name":"Schinzel, Sebastian","last_name":"Schinzel","first_name":"Sebastian"}],"date_created":"2021-10-04T18:53:47Z","publisher":"{USENIX} Association","date_updated":"2022-01-06T06:57:01Z","title":"ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication","publication_identifier":{"isbn":["978-1-939133-24-3"]},"page":"4293-4310","citation":{"ama":"Brinkmann M, Dresen C, Merget R, et al. 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Becker, “ITiCSE 2021 recap,” <i>ACM SIGCSE Bull.</i>, vol. 53, no. 3, pp. 3–4, 2021, doi: <a href=\"https://doi.org/10.1145/3483403.3483405\">10.1145/3483403.3483405</a>.","chicago":"Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” <i>ACM SIGCSE Bull.</i> 53, no. 3 (2021): 3–4. <a href=\"https://doi.org/10.1145/3483403.3483405\">https://doi.org/10.1145/3483403.3483405</a>.","apa":"Schulte, C., &#38; A. Becker, B. (2021). ITiCSE 2021 recap. <i>ACM SIGCSE Bull.</i>, <i>53</i>(3), 3–4. <a href=\"https://doi.org/10.1145/3483403.3483405\">https://doi.org/10.1145/3483403.3483405</a>","short":"C. Schulte, B. A. Becker, ACM SIGCSE Bull. 53 (2021) 3–4.","mla":"Schulte, Carsten, and Brett A. Becker. “ITiCSE 2021 Recap.” <i>ACM SIGCSE Bull.</i>, vol. 53, no. 3, 2021, pp. 3–4, doi:<a href=\"https://doi.org/10.1145/3483403.3483405\">10.1145/3483403.3483405</a>.","bibtex":"@article{Schulte_A. Becker_2021, title={ITiCSE 2021 recap}, volume={53}, DOI={<a href=\"https://doi.org/10.1145/3483403.3483405\">10.1145/3483403.3483405</a>}, number={3}, journal={ACM SIGCSE Bull.}, author={Schulte, Carsten and A. Becker, Brett}, year={2021}, pages={3–4} }"},"page":"3-4","intvolume":"        53","year":"2021","issue":"3","doi":"10.1145/3483403.3483405","title":"ITiCSE 2021 recap","author":[{"first_name":"Carsten","id":"60311","full_name":"Schulte, Carsten","last_name":"Schulte"},{"first_name":"Brett","full_name":"A. Becker, Brett","last_name":"A. Becker"}],"date_created":"2021-10-05T14:18:48Z","volume":53,"date_updated":"2022-01-06T06:57:06Z"},{"date_created":"2021-10-06T14:26:42Z","author":[{"first_name":"Elmar","full_name":"Moritzer, Elmar","id":"20531","last_name":"Moritzer"},{"first_name":"Dimitri","last_name":"Krassmann","id":"41916","full_name":"Krassmann, Dimitri"},{"first_name":"Johannes","last_name":"Brikmann","full_name":"Brikmann, Johannes"}],"date_updated":"2022-01-06T06:57:07Z","conference":{"name":"74th Annual Assembly of the International Institute of Welding (IIW)"},"title":"Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting","citation":{"ama":"Moritzer E, Krassmann D, Brikmann J. Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting. In: ; 2021.","ieee":"E. Moritzer, D. Krassmann, and J. Brikmann, “Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting,” presented at the 74th Annual Assembly of the International Institute of Welding (IIW), 2021.","chicago":"Moritzer, Elmar, Dimitri Krassmann, and Johannes Brikmann. “Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting,” 2021.","bibtex":"@inproceedings{Moritzer_Krassmann_Brikmann_2021, title={Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting}, author={Moritzer, Elmar and Krassmann, Dimitri and Brikmann, Johannes}, year={2021} }","mla":"Moritzer, Elmar, et al. <i>Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting</i>. 2021.","short":"E. Moritzer, D. Krassmann, J. Brikmann, in: 2021.","apa":"Moritzer, E., Krassmann, D., &#38; Brikmann, J. (2021). <i>Joining of Sheet Metal and Thermoplastic Composites Using Injection Riveting</i>. 74th Annual Assembly of the International Institute of Welding (IIW)."},"year":"2021","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"user_id":"41916","_id":"25576","language":[{"iso":"eng"}],"type":"conference","status":"public"},{"status":"public","publication":"Joining Plastics","type":"journal_article","language":[{"iso":"eng"}],"_id":"25577","department":[{"_id":"9"},{"_id":"367"},{"_id":"321"}],"user_id":"41916","year":"2021","intvolume":"        15","citation":{"ama":"Moritzer E, Krassmann D, Brikmann J. Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten. <i>Joining Plastics</i>. 2021;15(3-4).","chicago":"Moritzer, Elmar, Dimitri Krassmann, and Johannes Brikmann. “Fügen von Thermoplastischen Composites Mit Metallteilen Durch Spritznieten.” <i>Joining Plastics</i> 15, no. 3–4 (2021).","ieee":"E. Moritzer, D. Krassmann, and J. Brikmann, “Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten,” <i>Joining Plastics</i>, vol. 15, no. 3–4, 2021.","mla":"Moritzer, Elmar, et al. “Fügen von Thermoplastischen Composites Mit Metallteilen Durch Spritznieten.” <i>Joining Plastics</i>, vol. 15, no. 3–4, 2021.","bibtex":"@article{Moritzer_Krassmann_Brikmann_2021, title={Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten}, volume={15}, number={3–4}, journal={Joining Plastics}, author={Moritzer, Elmar and Krassmann, Dimitri and Brikmann, Johannes}, year={2021} }","short":"E. Moritzer, D. Krassmann, J. Brikmann, Joining Plastics 15 (2021).","apa":"Moritzer, E., Krassmann, D., &#38; Brikmann, J. (2021). Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten. <i>Joining Plastics</i>, <i>15</i>(3–4)."},"issue":"3-4","title":"Fügen von thermoplastischen Composites mit Metallteilen durch Spritznieten","date_updated":"2022-01-06T06:57:07Z","volume":15,"date_created":"2021-10-06T14:37:27Z","author":[{"last_name":"Moritzer","id":"20531","full_name":"Moritzer, Elmar","first_name":"Elmar"},{"id":"41916","full_name":"Krassmann, Dimitri","last_name":"Krassmann","first_name":"Dimitri"},{"last_name":"Brikmann","full_name":"Brikmann, Johannes","first_name":"Johannes"}]},{"publication_status":"published","publication_identifier":{"issn":["1936-0851","1936-086X"]},"citation":{"apa":"Spreyer, F., Ruppert, C., Georgi, P., &#38; Zentgraf, T. (2021). Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces. <i>ACS Nano</i>, <i>15</i>(10), 16719–16728. <a href=\"https://doi.org/10.1021/acsnano.1c06693\">https://doi.org/10.1021/acsnano.1c06693</a>","short":"F. Spreyer, C. Ruppert, P. Georgi, T. Zentgraf, ACS Nano 15 (2021) 16719–16728.","bibtex":"@article{Spreyer_Ruppert_Georgi_Zentgraf_2021, title={Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces}, volume={15}, DOI={<a href=\"https://doi.org/10.1021/acsnano.1c06693\">10.1021/acsnano.1c06693</a>}, number={10}, journal={ACS Nano}, author={Spreyer, Florian and Ruppert, Claudia and Georgi, Philip and Zentgraf, Thomas}, year={2021}, pages={16719–16728} }","mla":"Spreyer, Florian, et al. “Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces.” <i>ACS Nano</i>, vol. 15, no. 10, 2021, pp. 16719–28, doi:<a href=\"https://doi.org/10.1021/acsnano.1c06693\">10.1021/acsnano.1c06693</a>.","ieee":"F. Spreyer, C. Ruppert, P. Georgi, and T. Zentgraf, “Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces,” <i>ACS Nano</i>, vol. 15, no. 10, pp. 16719–16728, 2021, doi: <a href=\"https://doi.org/10.1021/acsnano.1c06693\">10.1021/acsnano.1c06693</a>.","chicago":"Spreyer, Florian, Claudia Ruppert, Philip Georgi, and Thomas Zentgraf. “Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces.” <i>ACS Nano</i> 15, no. 10 (2021): 16719–28. <a href=\"https://doi.org/10.1021/acsnano.1c06693\">https://doi.org/10.1021/acsnano.1c06693</a>.","ama":"Spreyer F, Ruppert C, Georgi P, Zentgraf T. Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces. <i>ACS Nano</i>. 2021;15(10):16719-16728. doi:<a href=\"https://doi.org/10.1021/acsnano.1c06693\">10.1021/acsnano.1c06693</a>"},"intvolume":"        15","page":"16719-16728","oa":"1","date_updated":"2022-01-06T06:57:07Z","author":[{"last_name":"Spreyer","full_name":"Spreyer, Florian","first_name":"Florian"},{"first_name":"Claudia","full_name":"Ruppert, Claudia","last_name":"Ruppert"},{"first_name":"Philip","full_name":"Georgi, Philip","last_name":"Georgi"},{"first_name":"Thomas","last_name":"Zentgraf","orcid":"0000-0002-8662-1101","id":"30525","full_name":"Zentgraf, Thomas"}],"volume":15,"main_file_link":[{"url":"https://pubs.acs.org/doi/10.1021/acsnano.1c06693","open_access":"1"}],"doi":"10.1021/acsnano.1c06693","type":"journal_article","status":"public","project":[{"name":"TRR 142","_id":"53"},{"name":"TRR 142 - Project Area A","_id":"54"},{"name":"TRR 142 - Subproject A7","_id":"64"},{"name":"TRR 142 - Subproject A8","_id":"65"}],"_id":"25605","user_id":"30525","department":[{"_id":"15"},{"_id":"230"},{"_id":"289"}],"article_type":"original","funded_apc":"1","quality_controlled":"1","issue":"10","year":"2021","date_created":"2021-10-07T07:39:27Z","title":"Influence of Plasmon Resonances and Symmetry Effects on Second Harmonic Generation in WS2–Plasmonic Hybrid Metasurfaces","publication":"ACS Nano","abstract":[{"lang":"eng","text":"The nonlinear process of second harmonic generation (SHG) in monolayer (1L) transition metal dichalcogenides (TMD), like WS2, strongly depends on the polarization state of the excitation light. By combination of plasmonic nanostructures with 1L-WS2 by transferring it onto a plasmonic nanoantenna array, a hybrid metasurface is realized impacting the polarization dependency of its SHG. Here, we investigate how plasmonic dipole resonances affect the process of SHG in plasmonic–TMD hybrid metasurfaces by nonlinear spectroscopy. We show that the polarization dependency is affected by the lattice structure of plasmonic nanoantenna arrays as well as by the relative orientation between the 1L-WS2 and the individual plasmonic nanoantennas. In addition, such hybrid metasurfaces show SHG in polarization states, where SHG is usually forbidden for either 1L-WS2 or plasmonic nanoantennas. By comparing the SHG in these channels with the SHG generated by the hybrid metasurface components, we detect an enhancement of the SHG signal by a factor of more than 40. Meanwhile, an attenuation of the SHG signal in usually allowed polarization states is observed. Our study provides valuable insight into hybrid systems where symmetries strongly affect the SHG and enable tailored SHG in 1L-WS2 for future applications."}],"language":[{"iso":"eng"}]}]