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J. Zhou et al., “Modulation of nearly free electron states in hydroxyl-functionalized MXenes: a first-principles study,” J. Mater. Chem. C, vol. 8, pp. 5211–5221, 2020.
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S. Kumar Sahoo et al., “On the Possibility of Helium Adsorption in Nitrogen Doped Graphitic Materials,” Scientific Reports, vol. 10, no. 1, 2020.
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H. Elgabarty et al., “Energy transfer within the hydrogen bonding network of water following resonant terahertz excitation,” Science Advances, vol. 6, no. 17, 2020.
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V. Rengaraj, M. Lass, C. Plessl, and T. D. Kühne, “Accurate Sampling with Noisy Forces from Approximate Computing,” Computation, vol. 8, no. 2, p. 39, 2020.
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H. Elgabarty and T. D. Kühne, “Tumbling with a limp: local asymmetry in water’s hydrogen bond network and its consequences,” Phys. Chem. Chem. Phys., vol. 22, pp. 10397–10411, 2020.
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T. D. Kühne et al., “CK: An electronic structure and molecular dynamics software package - Quickstep: Efficient and accurate electronic structure calculations,” The Journal of Chemical Physics, vol. 152, no. 19, p. 194103, 2020.
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T. Chantakit et al., “All-dielectric silicon metalens for two-dimensional particle manipulation in optical tweezers,” Photonics Research, vol. 8, no. 9, pp. 1435–1440, 2020.
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I. Turcanu, T. Engel, and C. Sommer, “Fog Seeding Strategies for Information-Centric Heterogeneous Vehicular Networks,” in 2019 IEEE Vehicular Networking Conference (VNC), 2020.
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M. Frank, J. Gausemeier, N. Hennig-Cardinal von Widdern, C. Koldewey, J. S. Menzefricke, and J. Reinhold, “A reference process for the Smart Service business: development and practical implications,” in Proceedings of the ISPIM connects, 2020.
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J.-K. Becker, K. Joachim, C. Koldewey, J. Reinhold, and R. Dumitrescu, “Scaling Digital Business Models: A Case from the Automotive Industry,” in Proceedings of the 2020 ISPIM Innovation Conference (Virtual) Event “Innovating in Times of Crisis,” 2020.
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A. Tornede, M. D. Wever, and E. Hüllermeier, “Extreme Algorithm Selection with Dyadic Feature Representation,” presented at the Discovery Science 2020, 2020.
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J. M. Hanselle, A. Tornede, M. D. Wever, and E. Hüllermeier, “Hybrid Ranking and Regression for Algorithm Selection,” presented at the 43rd German Conference on Artificial Intelligence, 2020.
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K. Flaßkamp, S. Ober-Blöbaum, and S. Peitz, “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach,” in Advances in Dynamics, Optimization and Computation, O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, and K. Padberg-Gehle, Eds. Cham: Springer, 2020.
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T. Tornede, A. Tornede, M. D. Wever, F. Mohr, and E. Hüllermeier, “AutoML for Predictive Maintenance: One Tool to RUL Them All,”10.1007/978-3-030-66770-2_8__presented at the IOTStream Workshop @ ECMLPKDD 2020, 2020, doi:10.1007/978-3-030-66770-2_8 .
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M. W. Hoffmann et al., “Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions,” Sensors, 2020.
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D. Q. Wang, D. Reuter, A. D. Wieck, A. R. Hamilton, and O. Klochan, “Two-dimensional lateral surface superlattices in GaAs heterostructures with independent control of carrier density and modulation potential,” Applied Physics Letters, 2020.
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V. S. Kunnathully, T. Riedl, A. Trapp, T. Langer, D. Reuter, and J. K. N. Lindner, “InAs heteroepitaxy on nanopillar-patterned GaAs (111)A,” Journal of Crystal Growth, 2020.
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M. Geier et al., “Electrostatic potential shape of gate-defined quantum point contacts,” Physical Review B, 2020.
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M. Javaid Iqbal, D. Reuter, A. D. Wieck, and C. van der Wal, “Characterization of low-resistance ohmic contacts to a two-dimensional electron gas in a GaAs/AlGaAs heterostructure,” The European Physical Journal Applied Physics, 2020.
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