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Results: 80,394
Number of items: 80,394
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Stouten, E., Claeys, P. W., Caux, J.-S., & Gritsev, V. (2019). Integrability and duality in spin chains. Physical Review B, 99(7), Article 075111. https://doi.org/10.1103/PhysRevB.99.075111 -
Czarnik, P., Dziarmaga, J., & Corboz, P. (2019). Time evolution of an infinite projected entangled pair state: An efficient algorithm. Physical Review B, 99(3), Article 035115. https://doi.org/10.1103/PhysRevB.99.035115
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Abbott, B. P., Bulten, H. J., Caudill, S., Ghosh, A., Guo, Y., Hinderer, T., Linde, F., Nelemans, G., Nichols, D., Nissanke, S., van Bakel, N., van Beuzekom, M., van den Brand, J. F. J., Van Den Broeck, C., Williamson, A. R., & LIGO Scientific Collaboration and Virgo Collaboration (2019). GWTC-1: A Gravitational-Wave Transient Catalog of Compact Binary Mergers Observed by LIGO and Virgo during the First and Second Observing Runs. Physical Review X, 9(3), Article 031040. https://doi.org/10.1103/PhysRevX.9.031040
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De Cao, N., Aziz, W., & Titov, I. (2019). Question answering by reasoning across documents with graph convolutional networks. In J. Burstein, C. Doran, & T. Solorio (Eds.), The 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: NAACL HLT 2019 : proceedings of the conference : June 2-June 7, 2019 (Vol. 1, pp. 2306-2317). The Association for Computational Linguistics. https://doi.org/10.18653/v1/N19-1240
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Melnyk, V., van Herpen, E., Jak, S., & van Trijp, H. C. M. (2019). The mechanisms of social norms’ influence on consumer decision making: A Meta-analysis. Zeitschrift für Psychologie, 227(1), 4-17. https://doi.org/10.1027/2151-2604/a000352
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Kyselica, P., & Genis, R. M. (2019). Temporal ‘Since’ in Slovak: Conjunction(s) and Aspect Choice: A Corpus Study. Jazykovedný časopis: vedecký časopis pre otázky teórie jazyka, 70(2), 200-215. Article 7. https://doi.org/10.2478/jazcas-2019-0051
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Wang, B., Titov, I., & Lapata, M. (2019). Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs. In K. Inui, J. Jiang, V. Ng, & X. Wan (Eds.), 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing: EMNLP-IJCNLP 2019 : proceedings of the conference : November 3-7, 2019, Hong Kong, China (pp. 3774-3785). The Association for Computational Linguistics. https://doi.org/10.18653/v1/D19-1391
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Spichtig, M., & Egas, M. (2019). When and how does mutation-generated variation promote the evolution of cooperation? Games, 10(1), Article 4. https://doi.org/10.3390/g10010004
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Dubbeldam, D., Vreede, J., Vlugt, T. J. H., & Calero, S. (2019). Highlights of (bio-)chemical tools and visualization software for computational science. Current Opinion in Chemical Engineering, 23, 1-13. https://doi.org/10.1016/j.coche.2019.02.001
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