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2504 Publications
2021 | Journal Article | LibreCat-ID: 33591
Rezat, S., & Arnold, C. (2021). Digitale Desinformation und Fake News. Schülerinnen und Schüler erklären, warum Fake News sich so gut verbreiten. Praxis Deutsch 285, 38–40.
LibreCat
2021 | Journal Article | LibreCat-ID: 33590
Rezat, S., & Feilke, H. (2021). Erklärtexte lesen und schreiben. Basisartikel. Praxis Deutsch 285, 4–13.
LibreCat
2021 | Journal Article | LibreCat-ID: 33643
Heske, J. J., Walczak, R., Epping, J. D., Youk, S., Sahoo, S. K., Antonietti, M., Kühne, T., & Oschatz, M. (2021). When water becomes an integral part of carbon – combining theory and experiment to understand the zeolite-like water adsorption properties of porous C2N materials. Journal of Materials Chemistry A, 9(39), 22563–22572. https://doi.org/10.1039/d1ta05122a
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33645
Ojha, D., & Kühne, T. (2021). Hydrogen bond dynamics of interfacial water molecules revealed from two-dimensional vibrational sum-frequency generation spectroscopy. Scientific Reports, 11(1), Article 2456. https://doi.org/10.1038/s41598-021-81635-4
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33644
Pylaeva, S., Marx, P., Singh, G., Kühne, T., Roemelt, M., & Elgabarty, H. (2021). Organic Mixed-Valence Compounds and the Overhauser Effect in Insulating Solids. The Journal of Physical Chemistry A, 125(3), 867–874. https://doi.org/10.1021/acs.jpca.0c11296
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33649
Kessler, J., Calcavecchia, F., & Kühne, T. (2021). Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo. Advanced Theory and Simulations, 4(4), Article 2000269. https://doi.org/10.1002/adts.202000269
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33648
Ghasemi, A., & Kühne, T. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics, 154(7), Article 074107. https://doi.org/10.1063/5.0037319
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33655
Chugh, M., Jain, M., Wang, G., Nia, A. S., Mirhosseini, H., & Kühne, T. (2021). A combinatorial study of electrochemical anion intercalation into graphite. Materials Research Express, 8(8), Article 085502. https://doi.org/10.1088/2053-1591/ac1965
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33658
Partovi-Azar, P., & Kühne, T. (2021). Full Assignment of Ab-Initio Raman Spectra at Finite Temperatures Using Wannier Polarizabilities: Application to Cyclohexane Molecule in Gas Phase. Micromachines, 12(10), Article 1212. https://doi.org/10.3390/mi12101212
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33651
Sahoo, S. K., Teixeira, I. F., Naik, A., Heske, J. J., Cruz, D., Antonietti, M., Savateev, A., & Kühne, T. (2021). Photocatalytic Water Splitting Reaction Catalyzed by Ion-Exchanged Salts of Potassium Poly(heptazine imide) 2D Materials. The Journal of Physical Chemistry C, 125(25), 13749–13758. https://doi.org/10.1021/acs.jpcc.1c03947
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33657
Mirhosseini, H., Tahmasbi, H., Kuchana, S. R., Ghasemi, A., & Kühne, T. (2021). An automated approach for developing neural network interatomic potentials with FLAME. Computational Materials Science, 197, Article 110567. https://doi.org/10.1016/j.commatsci.2021.110567
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 33654
Balos, V., Elgabarty, H., Wolf, M., Kühne, T., Netz, R., Bonthuis, D. J., Kaliannan, N., Loche, P., Kampfrath, T., & Sajadi, M. (2021). Ultrafast solvent-to-solvent and solvent-to-solute energy transfer driven by single-cycle THz electric fields. In M. Razeghi & A. N. Baranov (Eds.), Terahertz Emitters, Receivers, and Applications XII. SPIE. https://doi.org/10.1117/12.2594143
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| DOI
2021 | Journal Article | LibreCat-ID: 33656
Wang, M., Ranjbar, A., Kühne, T., Belosludov, R. V., Kawazoe, Y., & Liang, Y. (2021). A theoretical investigation of topological phase modulation in carbide MXenes: Role of image potential states. Carbon, 181, 370–378. https://doi.org/10.1016/j.carbon.2021.05.026
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33659
Ranjbar, A., Mirhosseini, H., & Kühne, T. (2021). On topological materials as photocatalysts for water splitting by visible light. Journal of Physics: Materials, 5(1), Article 015001. https://doi.org/10.1088/2515-7639/ac363d
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33681
da Silva, M. A. R., Silva, I. F., Xue, Q., Lo, B. T. W., Tarakina, N. V., Nunes, B. N., Adler, P., Sahoo, S. K., Bahnemann, D. W., López-Salas, N., Savateev, A., Ribeiro, C., Kühne, T., Antonietti, M., & Teixeira, I. F. (2021). Sustainable oxidation catalysis supported by light: Fe-poly (heptazine imide) as a heterogeneous single-atom photocatalyst. Applied Catalysis B: Environmental, 304, Article 120965. https://doi.org/10.1016/j.apcatb.2021.120965
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33675
Mai, L., Maniar, D., Zysk, F., Schöbel, J., Kühne, T., Loos, K., & Devi, A. (2021). Influence of different ester side groups in polymers on the vapor phase infiltration with trimethyl aluminum. Dalton Transactions, 51(4), 1384–1394. https://doi.org/10.1039/d1dt03753f
LibreCat
| DOI
2021 | Newspaper Article | LibreCat-ID: 27058
Wiecher, C., Fischbach, J., Greenyer, J., Vogelsang, A., Wolff, C., & Dumitrescu, R. (2021). Integrated and Iterative Requirements Analysis and Test Specification: A Case Study at Kostal. ArXiv Preprint.
LibreCat
2021 | Book Chapter | LibreCat-ID: 29292 | 
Feldhans, R., Wilke, A., Heindorf, S., Shaker, M. H., Hammer, B., Ngonga Ngomo, A.-C., & Hüllermeier, E. (2021). Drift Detection in Text Data with Document Embeddings. In Intelligent Data Engineering and Automated Learning – IDEAL 2021. Springer International Publishing. https://doi.org/10.1007/978-3-030-91608-4_11
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2021 | Conference Paper | LibreCat-ID: 29287 |
Demir, C., Moussallem, D., Heindorf, S., & Ngonga Ngomo, A.-C. (2021). Convolutional Hypercomplex Embeddings for Link Prediction. The 13th Asian Conference on Machine Learning, ACML 2021.
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29294 |
Nickchen, T., Heindorf, S., & Engels, G. (2021). Generating Physically Sound Training Data for Image Recognition of Additively Manufactured Parts. 2021 IEEE Winter Conference on Applications of Computer Vision (WACV). https://doi.org/10.1109/wacv48630.2021.00204
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