Publikationer

Følg med i de senest publicerede videnskabelige artikler fra Faculty of Natural Sciences. Oversigten viser fakultetets publikationer med de nyeste øverst.

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Nielsen, A. E. B. & Mølmer, K. (2007). Multimode analysis of the light emitted from a pulsed optical parametric oscillator. Physical Review A, 76(033832).

Birkbak, M. E. (2017). Multimodal X-ray Imaging of Hierarchical Materials.

Mirzaei, M., Kán, P. & Kaufmann, H. (2021). Multi-modal Spatial Object Localization in Virtual Reality for Deaf and Hard-of-Hearing People. I Proceedings - 2021 IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2021 (s. 588-596). Artikel 9417786 IEEE. https://doi.org/10.1109/VR50410.2021.00084

Hebets, E. A., Aceves-Aparicio, A., Aguilar-Argüello, S., Bingman, V. P., Escalante, I., Gering, E. J., Nelsen, D. R., Rivera, J., Sánchez-Ruiz, J. Á., Segura-Hernández, L., Settepani, V., Wiegmann, D. D. & Stafstrom, J. A. (2014). Multimodal sensory reliance in the nocturnal homing of the amblypygid Phrynus pseudoparvulus (Class Arachnida, Order Amblypygi)? Behavioural Processes, 108, 123-130. https://doi.org/10.1016/j.beproc.2014.09.014

Hoggan, E. (2024). Multimodal Interaction. I Interaction Techniques and Technologies in Human-Computer Interaction (s. 45-63). CRC Press. https://doi.org/10.1201/9781003490678-2

Li, Z., Liu, J., Howard, K., Fan, X., Chang, M., Sun, Y., Besenbacher, F. & Yu, M. (2016). Multimodal Imaging-Guided Antitumor Photothermal Therapy and Drug Delivery Using Bismuth Selenide Spherical-Sponge. A C S Nano, 10(10), 9646–9658. https://doi.org/10.1021/acsnano.6b05427

Gratzer, D., Kavvos, G. A., Nuyts, A. & Birkedal, L. (2020). Multimodal Dependent Type Theory. I Proceedings of the 35th Annual ACM/IEEE Symposium on Logic in Computer Science, LICS 2020 (s. 492-506). Artikel 3394736 Association for Computing Machinery. https://doi.org/10.1145/3373718.3394736

Gratzer, D., Kavvos, G. A., Nuyts, A. & Birkedal, L. (2021). Multimodal Dependent Type Theory. Logical Methods in Computer Science, 17(3), Artikel 11. https://doi.org/10.46298/lmcs-17(3:11)2021

Søndergaard, A. S., Andersen, J. L., Larsen, N. K., Steinemann, O., Haghipour, N., Olsen, J. & Egholm, D. L. (2025). Multi-million-year evolution of the Greenland Ice Sheet in Inglefield Land, North Greenland. Journal of Quaternary Science, 40(6), 1056-1069. https://doi.org/10.1002/jqs.3725

Overgaard, A. B., Kissling, W. D., Dransfield, J., Balslev, H. & Svenning, J.-C. (2013). Multimillion-year climatic effects on palm species diversity in Africa. Ecology, 94(11), 2426-2435. https://doi.org/10.1890/12-1577.1

Icecube Collaboration, Fermi-LAT collaboration, MAGIC Collaboration, AGILE, ASAS-SN, HAWC, H.E.S.S., INTEGRAL, Kanata, Kiso, and Subaru observing teams, Kapteyn, Liverpool telescope, Swift/NuSTAR, VERITAS & VLA/17B-403 team (2018). Multimessenger observations of a flaring blazar coincident with high-energy neutrino IceCube-170922A. Science, 361(6398), Artikel eaat1378. https://doi.org/10.1126/science.aat1378

Etzerodt, M. (2005). Multimerised HIV fusion inhibitors. (Patentnummer WO 2005080418).

Grønbæk, K. & Bødker, S. (1998). Multimedia: Interdisciplinary challenges to design. Scandinavian Journal of Information Systems, 10(1-2). http://iris.cs.aau.dk/tl_files/volumes/volume10/no1/09_boedker_p219-225.pdf

Nielsen, J. & Grønbæk, K. (2006). MultiLightTracker: Vision based simultaneous multi object tracking on semi-transparent surfaces. I Proceedings of the Conference on Computer Vision Theory and Applications Institute for Systems and Technologies of Information, Control and Communication.

Nielsen, J., Grønbæk, K. & Lykke-Olesen, A. (2005). MultiLightTracker: Vision Based Simultaneous Multi Object Tracking on Semi-Transparent Surfaces. Softwareprogram

Kurucz, Z. & Mølmer, K. (2010). Multilevel Holstein-Primakoff approximation and its application to atomic spin squeezing and ensemble quantum memories. Physical Review A, 81(3), 032314. https://doi.org/10.1103/PhysRevA.81.032314

Ringgaard Kristensen, A. & Jørgensen, E. (2000). Multi-level hierarchic Markov processess as a framework for herd management support. I Annals of operational research 2000 (Bind 94, s. 69-89)

Kristensen, A. R. & Jørgensen, E. (2000). Multi-level hierarchic Markov processes as a framework for herd management support. Annals of Operations Research, 94, 89.

Baraldi, A., Lizzit, K., Hofmann, P. & De Gironcoli, S. (2003). Multilayer thermal expansion of Be(0001) determined from surface core level shifts. EPL, 64(3), 364-370.

Bai, S., Lv, T., Ding, Y., Li, X., You, S., Xie, Q. & Brix, H. (2016). Multilayer substrate configuration enhances removal efficiency of pollutants in constructed wetlands. Water, 8(12), Artikel 556. https://doi.org/10.3390/w8120556

Ke, Y., Voigt, N. V., Shih, W. M. & Gothelf, K. V. (2012). Multilayer DNA Origami Packed on Hexagonal and Hybrid Lattices. Journal of the American Chemical Society, 134(3), 1770-1774. https://doi.org/10.1021/ja209719k

Francati, D., Friolo, D., Malavolta, G. & Venturi, D. (2023). Multi-key and Multi-input Predicate Encryption from Learning with Errors. I C. Hazay & M. Stam (red.), Advances in Cryptology – EUROCRYPT 2023: 42nd Annual International Conference on the Theory and Applications of Cryptographic Techniques, Lyon, France, April 23-27, 2023, Proceedings, Part III (s. 573-604). Springer. https://doi.org/10.1007/978-3-031-30620-4_19

Francati, D., Friolo, D., Malavolta, G. & Venturi, D. (2024). Multi-key and Multi-input Predicate Encryption (for Conjunctions) from Learning with Errors. Journal of Cryptology, 37(3), Artikel 24. https://doi.org/10.1007/s00145-024-09504-7

Van Goethem, A., Staals, F., Löffler, M., Dykes, J. & Speckmann, B. (2017). Multi-Granular Trend Detection for Time-Series Analysis. IEEE Transactions on Visualization and Computer Graphics, 23(1), 661-670. Artikel 7536203. https://doi.org/10.1109/TVCG.2016.2598619

Keightley, P. D. & Bataillon, T. (2000). Multigeneration maximum-likelihood analysis applied to mutation-accumulation experiments in Caenorhabditis elegans. Genetics, 154(3), 1193-201.

O'Sullivan, A., Lindsay, T., Prudnikova, A., Erdi, B., Dickinson, M. & von Philipsborn, A. C. (2018). Multifunctional Wing Motor Control of Song and Flight. Current Biology, 28(17), 2705-2717. https://doi.org/10.1016/j.cub.2018.06.038

O'Sullivan, A. (2019). Multifunctional wing motor control of song and flight. Aarhus Universitet.

Paskevicius, M., Hansen, B. R. S., Jorgensen, M., Richter, B. & Jensen, T. R. (2017). Multifunctionality of silver closo-boranes. Nature Communications, 8, Artikel 15136. https://doi.org/10.1038/ncomms15136

Li, Z., Hu, Y., Howard, K., Yiang, T., Fan, X., Miao, Z., Sun, Y., Besenbacher, F. & Yu, M. (2016). Multifunctional bismuth selenide nanocomposites for anti-tumor thermo-chemotherapy and imaging. A C S Nano, 10(1), 984-997. https://doi.org/10.1021/acsnano.5b06259

Yang, S., Li, Z., Wang, Y., Fang, X., Miao, Z., Hu, Y., Li, Z., Sun, Y., Besenhacher, F. & Yu, M. (2018). Multifunctional Bi@PPy-PEG Core-Shell Nanohybrids for Dual-Modal Imaging and Photothermal Therapy. A C S Applied Materials and Interfaces, 10(2), 1605-1615. https://doi.org/10.1021/acsami.7b17838

Guerreiro, J. R., Frederiksen, M., Bochenkov, V., De Freitas, V., Sales, M. G. F. & Sutherland, D. S. (2014). Multifunctional biosensor based on Localized Surface Plasmon Resonance for monitoring small molecule-protein interaction. ACS Nano, 8(8), 7958-7967. https://doi.org/10.1021/nn501962y

Howard, K. (2020). Multifunctional Biomolecular Drug Designs. Nanotechnology, 32(1). https://doi.org/10.1088/1361-6528/abaadb

Andersen, C. K. & Mølmer, K. (2015). Multifrequency modes in superconducting resonators: Bridging frequency gaps in off-resonant couplings. Physical Review A, 91, Artikel 023828. https://doi.org/10.1103/PhysRevA.91.023828

Selnihhin, D., Sparvath, S. M., Preus, S., Birkedal, V. & Andersen, E. S. (2018). Multifluorophore DNA Origami Beacon as a Biosensing Platform. ACS Nano, 12(6), 5699–5708. https://doi.org/10.1021/acsnano.8b01510

Bowen, S., Rybalko, O., Petersen, J. R., Vinding, M. S., Ullisch, M. G., Nielsen, N. C. & Ardenkjær-Larsen, J. H. (2017). Multi-Field Cryogen Free Dissolution-DNP at 3.35, 6.70, and 10.05 T. Abstract fra 13th EUROMAR 2017, Warsaw.

Pages, B. J., Sakoff, J., Gilbert, J., Rodger, A., Chmel, N. P., Jones, N. C., Kelly, S., Ang, D. L. & Aldrich-Wright, J. R. (2016). Multifaceted studies of the DNA interactions and in vitro cytotoxicity of anticancer polyaromatic platinum(II) complexes. Chemistry: A European Journal, 22(26), 8943-8954. https://doi.org/10.1002/chem.201601221

Carvalho, M. H. R., Batista, G. M. F., de Castro, P. P., Neto, B. A. D. & Amarante, G. W. (2026). Multifaceted maleimide scaffolds in focus: from synthesis to photophysical applications. Chemical Society Reviews. Advance online publication. https://doi.org/10.1039/d5cs00880h

Hu, Y., Wei, F., Fu, B., Wang, S., Wang, L. & Chen, Y. (2023). Multifaceted characteristics of aridity changes and causal mechanisms in Chinese drylands. Progress in Physical Geography, 47(3), 438-453. https://doi.org/10.1177/03091333221129867

Kristensen, K. & Hill, J. (2003). Multi-environment Variety Trials: Analysis and Prediction. I Variety Trails in Sugar Beet Methodology and Design 2002 (Bind 4, s. 19-54). <Forlag uden navn>.

Jørgensen, N., Laursen, J., Holm, P. E., Viksna, A. & Pind, N. (2002). Multi-element mapping of heavy metal containing pesticide residues on former horticultural soil. Poster-session præsenteret på 5th International Topical Meeting on Industrial Radiation and Radioisotope Measurement Applications, Bologna, Italien.

Laursen, K. H., Schjørring, J. K., Olesen, J. E., Askegaard, M., Halekoh, U. & Husted, S. (2011). Multielemental Fingerprinting as a Tool for Authentication of Organic Wheat, Barley, Faba Bean, and Potato. Journal of Agricultural and Food Chemistry, 59(9), 4385-4396. https://doi.org/10.1021/jf104928r

Jørgensen, N., Laursen, J., Viksna, A., Pind, N. & Holm, P. E. (2005). Multi-elemental EDXRF mapping of polluted soil from former horticultural land. Environ Int, 31(1), 43-52.

Shvetsov-Shilovski, N., Lein, M. & Madsen, L. B. (2018). Multielectron polarization effects in strong-field ionization: Narrowing of momentum distributions and imprints in interference structures. Physical Review A, 98(2), Artikel 023406. https://doi.org/10.1103/PhysRevA.98.023406

Abu-Samha, M. & Madsen, L. B. (2020). Multielectron effects in strong-field ionization of the oriented OCS molecule. Physical Review A, 102(6), Artikel 063111. https://doi.org/10.1103/PhysRevA.102.063111

Abu-Samha, M. & Madsen, L. B. (2022). Multielectron effect in the strong-field ionization of aligned nonpolar molecules. Physical Review A, 106(1), Artikel 013117. https://doi.org/10.1103/PhysRevA.106.013117

Hansen, S. B., Bartual, S. G., Yuan, H., Raimi, O. G., Gorelik, A., Ferenbach, A. T., Lytje, K., Pedersen, J. S., Drace, T., Boesen, T. & van Aalten, D. M. F. (2025). Multi-domain O-GlcNAcase structures reveal allosteric regulatory mechanisms. Nature Communications, 16(1), Artikel 8828. https://doi.org/10.1038/s41467-025-63893-2

Bellwald, B., Griffiths, L., Hansen, R. C., Dujardin, J., Forsberg, C., De Gail, M., Forsberg, C. F., Vanneste, M., Watton, T., Adestål, V., Lakeman, J., Dræge, C., Madry, T., Freedom, J., Larbalestier, P. & Piotrowski, J. A. (2023). Multi-disciplinary Characterization of Sedimentary Environments on Glaciated Margins: Implications for Engineering of Offshore Windfarm Sites. I 1st Conference on Sub-surface Characterisation for Offshore Wind, Held at Near Surface Geoscience Conference and Exhibition 2023, NSG 2023 (s. 1-5). European Association of Geoscientists and Engineers. https://doi.org/10.3997/2214-4609.202320040

Sandel, B. S., Monnet, A.-C. & Vorontsova, M. (2016). Multidimensional structure of grass functional traits among species and assemblages. Journal of Vegetation Science, 27(5), 1047-1060. https://doi.org/10.1111/jvs.12422

Mueller, B., Gay, D. W., Heger, A., Tauris, T. M. & Sim, S. A. (2018). Multidimensional simulations of ultrastripped supernovae to shock breakout. Monthly Notices of the Royal Astronomical Society, 479(3), 3675-3689. https://doi.org/10.1093/mnras/sty1683

Ljungdahl, M. M. & Podolskij, M. (2022). Multidimensional parameter estimation of heavy-tailed moving averages. Scandinavian Journal of Statistics, 49(2), 593-624. https://doi.org/10.1111/sjos.12527

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