Publikationen
2023
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Pythoncode used in: "Biocatalytic Foams from Microdroplet-Formulated Self-Assembling Enzymes"
Weber, A. J.; Hertel, J. S.; Rabe, K. S.; Niemeyer, C. M.
2023, Dezember 21. doi:10.35097/1861 -
A Fair and In-Depth Evaluation of Existing End-to-End Entity Linking Systems
Bast, H.; Hertel, M.; Prange, N.
2023. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, Singapur, 6th-10th December 2023, Hrsg.: Bouamor, Houda; Pino, Juan; Bali, Kalika, 6659–6672, Association for Computational Linguistics (ACL). doi:10.18653/v1/2023.emnlp-main.411 -
Transformer training strategies for forecasting multiple load time series
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Energy Informatics, 6 (S1), Art.-Nr.: 20. doi:10.1186/s42162-023-00278-z -
Fast Whitespace Correction with Encoder-Only Transformers
Bast, H.; Hertel, M.; Walter, S.
2023. The 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations : ACL-DEMO 2023. Vol 3: Proceedings of the System Demonstrations, 389–399, Association for Computational Linguistics (ACL). doi:10.18653/v1/2023.acl-demo.37 -
Using Conditional Invertible Neural Networks To Perform Mid-Term Peak Load Forecasting
Heidrich, B.; Neumann, O.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. 43rd International Symposium On Forecasting (2023), Charlottesville, VA, USA, 25.–28. Juni 2023 -
Biocatalytic Foams from Microdroplet‐Formulated Self‐Assembling Enzymes
Hertel, J. S.; Bitterwolf, P.; Kröll, S.; Winterhalter, A.; Weber, A. J.; Grösche, M.; Walkowsky, L. B.; Heißler, S.; Schwotzer, M.; Wöll, C.; van de Kamp, T.; Zuber, M.; Baumbach, T.; Rabe, K. S.; Niemeyer, C. M.
2023. Advanced Materials, 35 (39), Art.Nr.: 2303952. doi:10.1002/adma.202303952 -
Winning the Peak Shape and Peak Timing Tasks of the BIGDEAL Load Forecasting Challenge with Conditional Invertible Neural Networks
Neumann, O.; Heidrich, B.; Hertel, M.; Hagenmeyer, V.; Mikut, R.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023 -
Electrical Load Forecasting with Transformer Neural Networks
Hertel, M.; Beichter, M.; Heidrich, B.; Neumann, O.; Ott, S. M.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2023. Helmholtz Artificial Intelligence Conference (Helmholtz AI 2023), Hamburg, Deutschland, 12.–14. Juni 2023
2022
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Intracellular Assembly of Interacting Enzymes Yields Highly‐Active Nanoparticles for Flow Biocatalysis
Bitterwolf, P.; Zoheir, A. E.; Hertel, J.; Kröll, S.; Rabe, K. S.; Niemeyer, C. M.
2022. Chemistry – A European Journal, 28 (66), Art.Nr. e202202157. doi:10.1002/chem.202202157 -
Electroluminescence from single-walled carbon nanotubes with quantum defects
Krupke, R.; Li, M.-K.; Riaz, A.; Wederhake, M.; Fink, K.; Saha, A.; Dehm, S.; He, X.; Schöppler, F.; Kappes, M.; Htoon, H.; Popov, V.; Doorn, S.; Hertel, T.; Hennrich, F.
2022, November. Materials Research Society Fall Meeting and Exhibit (MRS 2022), Online, 27. November–2. Dezember 2022 -
Transformer Neural Networks for Building Load Forecasting
Hertel, M.; Ott, S.; Neumann, O.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.
2022. 36th Conference on Neural Information Processing Systems (NeurIPS 2022), Online, 28. November–9. Dezember 2022 -
Evaluation of Transformer Architectures for Electrical Load Time-Series Forecasting
Hertel, M.; Ott, S.; Schäfer, B.; Mikut, R.; Hagenmeyer, V.; Neumann, O.
2022. Proceedings - 32. Workshop Computational Intelligence: Berlin, 1. - 2. Dezember 2022. Hrsg.: H. Schulte, F. Hoffmann; R. Mikut, 93–110, KIT Scientific Publishing -
Formulation and characterisation of enzyme-based biomaterials for μFluidic experiments
Hertel, J.; Rabe, K. S.; Niemeyer, C. M.
2022. Summer School Biotransformations 2022 (2022), Bad Herrenalb, Deutschland, 15.–18. August 2022 -
Electroluminescence from Single-Walled Carbon Nanotubes with Quantum Defects
Li, M.-K.; Riaz, A.; Wederhake, M.; Fink, K.; Saha, A.; Dehm, S.; He, X.; Schöppler, F.; Kappes, M. M.; Htoon, H.; Popov, V. N.; Doorn, S. K.; Hertel, T.; Hennrich, F.; Krupke, R.
2022. ACS Nano, 16 (8), 11742–11754. doi:10.1021/acsnano.2c03083
2021
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Species richness is more important for ecosystem functioning than species turnover along an elevational gradient
Albrecht, J.; Peters, M. K.; Becker, J. N.; Behler, C.; Classen, A.; Ensslin, A.; Ferger, S. W.; Gebert, F.; Gerschlauer, F.; Helbig-Bonitz, M.; Kindeketa, W. J.; Kühnel, A.; Mayr, A. V.; Njovu, H. K.; Pabst, H.; Pommer, U.; Röder, J.; Rutten, G.; Schellenberger Costa, D.; Sierra-Cornejo, N.; Vogeler, A.; Vollstädt, M. G. R.; Dulle, H. I.; Eardley, C. D.; Howell, K. M.; Keller, A.; Peters, R. S.; Kakengi, V.; Hemp, C.; Zhang, J.; Manning, P.; Mueller, T.; Bogner, C.; Böhning-Gaese, K.; Brandl, R.; Hertel, D.; Huwe, B.; Kiese, R.; Kleyer, M.; Leuschner, C.; Kuzyakov, Y.; Nauss, T.; Tschapka, M.; Fischer, M.; Hemp, A.; Steffan-Dewenter, I.; Schleuning, M.
2021. Nature Ecology and Evolution, 5, 1582–1593. doi:10.1038/s41559-021-01550-9
2020
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Modelling food security: Bridging the gap between the micro and the macro scale
Müller, B.; Hoffmann, F.; Heckelei, T.; Müller, C.; Hertel, T. W.; Polhill, J. G.; Wijk, M. van; Achterbosch, T.; Alexander, P.; Brown, C.; Kreuer, D.; Ewert, F.; Ge, J.; Millington, J. D. A.; Seppelt, R.; Verburg, P. H.; Webber, H.
2020. Global environmental change, 63, 102085. doi:10.1016/j.gloenvcha.2020.102085
2019
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Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions
Peters, M. K.; Hemp, A.; Appelhans, T.; Becker, J. N.; Behler, C.; Classen, A.; Detsch, F.; Ensslin, A.; Ferger, S. W.; Frederiksen, S. B.; Gebert, F.; Gerschlauer, F.; Gütlein, A.; Helbig-Bonitz, M.; Hemp, C.; Kindeketa, W. J.; Kühnel, A.; Mayr, A. V.; Mwangomo, E.; Ngereza, C.; Njovu, H. K.; Otte, I.; Pabst, H.; Renner, M.; Röder, J.; Rutten, G.; Schellenberger Costa, D.; Sierra-Cornejo, N.; Vollstädt, M. G. R.; Dulle, H. I.; Eardley, C. D.; Howell, K. M.; Keller, A.; Peters, R. S.; Ssymank, A.; Kakengi, V.; Zhang, J.; Bogner, C.; Böhning-Gaese, K.; Brandl, R.; Hertel, D.; Huwe, B.; Kiese, R.; Kleyer, M.; Kuzyakov, Y.; Nauss, T.; Schleuning, M.; Tschapka, M.; Fischer, M.; Steffan-Dewenter, I.
2019. Nature <London>, 568 (7750), 88–92. doi:10.1038/s41586-019-1048-z
2018
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Childhood Maltreatment in Women with Borderline Personality Disorder, Chronic Depression, and Episodic Depression, and in Healthy Controls
Brakemeier, E.-L.; Dobias, J.; Hertel, J.; Bohus, M.; Limberger, M. F.; Schramm, E.; Radtke, M.; Frank, P.; Padberg, F.; Sabass, L.; Jobst, A.; Jacob, G. A.; Struck, N.; Zimmermann, J.; Normann, C.
2018. Psychotherapy and psychosomatics, 87 (1), 49–51. doi:10.1159/000484481
2017
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Optimierung kapazitiv gekoppelter supraleitender l/4-Resonatoren für den Einsatz in einem Mikrowellen-SQUID-Multiplexer. Masterarbeit
Hertel, A.
2017, März 30 -
Nitrogen turnover and greenhouse gas emissions in a tropical alpine ecosystem, Mt. Kilimanjaro, Tanzania
Gütlein, A.; Zistl-Schlingmann, M.; Becker, J. N.; Cornejo, N. S.; Detsch, F.; Dannenmann, M.; Appelhans, T.; Hertel, D.; Kuzyakov, Y.; Kiese, R.
2017. Plant and soil, 411 (1), 243–259. doi:10.1007/s11104-016-3029-4 -
Improving material separation of high-flux whole-body photon counting computed tomography by K-edge pre-filtration
Polster, C.; Gutjahr, R.; Berner, M.; Flohr, T.; Hertel, M.; Kappler, S.; Stierstorfer, K.; Dietrich, O.
2017. Proceedings of the Medical Imaging 2017: Physics of Medical Imaging, Orlando, Florida, United States, 11 February 2017. Ed.: T. Flohr, Art. Nr. 101320W, Society of Photo-optical Instrumentation Engineers (SPIE). doi:10.1117/12.2254289
2016
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Microwave SQUID multiplexing of large MMC detector arrays
Wegner, M.; Herrmann, F.; Hertel, A.; Keller, M.; Richter, D.; Papst, M.; Fleischmann, A.; Gastaldo, L.; Kempf, S.; Enss, C.
2016, Oktober. Tagung Kryoelektronische Bauelemente (KRYO 2016), Freyburg (Unstrut), Deutschland, 9.–11. Oktober 2016 -
Legume and Non-legume Trees Increase Soil Carbon Sequestration in Savanna
Becker, J. N.; Gütlein, A.; Sierra Cornejo, N.; Kiese, R.; Hertel, D.; Kuzyakov, Y.
2016. Ecosystems, 20 (5), 989–999. doi:10.1007/s10021-016-0087-7 -
Curvature-Induced Asymmetric Spin-Wave Dispersion
Otálora, J. A.; Yan, M.; Schultheiss, H.; Hertel, R.; Kákay, A.
2016. Physical review letters, 117 (22), 227203. doi:10.1103/PhysRevLett.117.227203 -
Interface Magnetoelectric Coupling in Co/Pb(Zr,Ti)O3
Vlasin, O.; Jarrier, R.; Arras, R.; Calmels, L.; Warot-Fonrose, B.; Marcelot, C.; Jamet, M.; Ohresser, P.; Scheurer, F.; Hertel, R.; Herranz, G.; Cherifi-Hertel, S.
2016. ACS applied materials & interfaces, 8 (11), 7553–7563. doi:10.1021/acsami.5b12777 -
Ultrafast domain wall dynamics in magnetic nanotubes and nanowires
Hertel, R.
2016. Journal of physics / Condensed matter, 28 (48), Art. Nr.: 483002. doi:10.1088/0953-8984/28/48/483002 -
Quantum technology: from research to application
Schleich, W. P.; Ranade, K. S.; Anton, C.; Arndt, M.; Aspelmeyer, M.; Bayer, M.; Berg, G.; Calarco, T.; Fuchs, H.; Giacobino, E.; Grassl, M.; Hänggi, P.; Heckl, W. M.; Hertel, I.-V.; Huelga, S.; Jelezko, F.; Keimer, B.; Kotthaus, J. P.; Leuchs, G.; Lütkenhaus, N.; Maurer, U.; Pfau, T.; Plenio, M. B.; Rasel, E. M.; Renn, O.; Silberhorn, C.; Schiedmayer, J.; Schmitt-Landsiedel, D.; Schönhammer, K.; Ustinov, A.; Walther, P.; Weinfurter, H.; Welzl, E.; Wiesendanger, R.; Wolf, S.; Zeilinger, A.; Zoller, P.
2016. Applied Physics B: Lasers and Optics, 122 (5), 130. doi:10.1007/s00340-016-6353-8 -
Gauging low-dose X-ray phase-contrast imaging at a single and large propagation distance
Hofmann, R.; Schober, A.; Hahn, S.; Moosmann, J.; Kashef, J.; Hertel, M.; Weinhardt, V.; Hänschke, D.; Helfen, L.; Salazar, I. A. S.; Guigay, J.-P.; Xiao, X.; Baumbach, T.
2016. Optics express, 24 (4), 4331–4348. doi:10.1364/OE.24.004331
2015
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Implementierung und Verifizierung eines Algorithmus zur Charakterisierung kapazitiv gekoppelter supraleitender lambda/4-Resonatoren. Bachelorarbeit
Hertel, A.
2015, April 8 -
First direct limits on lightly ionizing particles with electric charge less than e/6
Agnese, R.; Anderson, A. J.; Balakishiyeva, D.; Thakur, R. B.; Bauer, D. A.; Billard, J.; Borgland, A.; Bowles, M. A.; Brandt, D.; Brink, P. L.; Bunker, R.; Cabrera, B.; Caldwell, D. O.; Cerdeno, D. G.; Chagani, H.; Chen, Y.; Cooley, J.; Cornell, B.; Crewdson, C. H.; Cushman, P.; Daal, M.; Di Stefano, P. C. F.; Doughty, T.; Esteban, L.; Fallows, S.; Figueroa-Feliciano, E.; Godfrey, G. L.; Golwala, S. R.; Hall, J.; Harris, H. R.; Hertel, S. A.; Hofer, T.; Holmgren, D.; Hsu, L.; Huber, M. E.; Jastram, A.; Kamaev, O.; Kara, B.; Kelsey, M. H.; Kennedy, A.; Kiveni, M.; Koch, K.; Leder, A.; Loer, B.; Lopez Asamar, E.; Mahapatra, R.; Mandic, V.; Martinez, C.; McCarthy, K. A.; Mirabolfathi, N.; Moffatt, R. A.; Moore, D. C.; Nelson, H.; Nelson, R. H.; Ogburn, R. W.; Page, K.; Page, A.; Partridge, R.; Pepin, M.; Phipps, A.; Prasad, K.; Pyle, M.; Qiu, H.; Rau, W.; Redl, P.; Reisetter, A.; Ricci, Y.; Rogers, H. E.; Saab, T.; Sadoulet, B.; Sander, J.; Schneck, K.; Schnee, R. W.; Scorza, S.; Serfass, B.; Shank, B.; Speller, D.; Upadhyayula, S.; Villano, A. N.; Welliver, B.; Wright, D. H.; Yellin, S.; Yen, J. J.; Young, B. A.; Zhang, J.
2015. Physical review letters, 114 (11), Art. Nr.: 111302. doi:10.1103/PhysRevLett.114.111302