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Faculty of Natural Sciences

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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Rämer, A., Haahr-Lillevang, L., Rethfeld, B. & Balling, P. (2016). Modeling the transient optical parameters in laser-excited band gap materials. Optical Engineering, 56(1), Artikel 011015. https://doi.org/10.1117/1.OE.56.1.011015

Bjerg, L., Iversen, B. B. & Madsen, G. K. H. (2014). Modeling the thermal conductivities of the zinc antimonides ZnSb and Zn₄Sb₃. Physical Review B, 89, Artikel 024304. https://doi.org/10.1103/PhysRevB.89.024304

Octaviani, M., Shrivastava, M., Zaveri, R. A., Zelenyuk, A., Zhang, Y., Rasool, Q. Z., Bell, D. M., Riva, M., Glasius, M. & Surratt, J. D. (2021). Modeling the Size Distribution and Chemical Composition of Secondary Organic Aerosols during the Reactive Uptake of Isoprene-Derived Epoxydiols under Low-Humidity Condition. ACS Earth and Space Chemistry, 5(11), 3247-3257. https://doi.org/10.1021/acsearthspacechem.1c00303

Kraft, J. F., Vestergaard, M., Schiøtt, B. & Thøgersen, L. (2012). Modeling the Self-assembly and Stability of DHPC Micelles using Atomic Resolution and Coarse Grained MD Simulations. Journal of Chemical Theory and Computation, 8(5), 1556–1569. https://doi.org/10.1021/ct200921u

Inceoglu, F., Knudsen, M. F., Karoff, C. & Olsen, J. (2014). Modeling the Relationship Between Neutron Counting Rates and Sunspot Numbers Using the Hysteresis Effect. Solar Physics, 289(4), 1387-1402. https://doi.org/10.1007/s11207-013-0391-8

Jensen, S. H., Madsen, M. & Møller, A. (2011). Modeling the HTML DOM and Browser API in Static Analysis of JavaScript Web Applications. I Proceedings of the 19th ACM SIGSOFT Symposium and the 13th European Conference on Foundations of Software Engineering. ESEC/FSE '11 (s. 59-69). Association for Computing Machinery. https://doi.org/10.1145/2025113.2025125

Jeppesen, J., Christensen, S. & Ladekarl, U. L. (2011). Modeling the historical water cycle of the Copenhagen Area 1850-2003. Journal of Hydrology, 404(3-4), 117-129. https://doi.org/10.1016/j.jhydrol.2010.12.022

Elm, J., Kubečka, J., Besel, V., Jääskeläinen, M. J., Halonen, R., Kurtén, T. & Vehkamäki, H. (2020). Modeling the formation and growth of atmospheric molecular clusters: A review. Journal of Aerosol Science, 149, Artikel 105621. https://doi.org/10.1016/j.jaerosci.2020.105621

Egholm, D. L., Knudsen, M. F., Clark, C. D. & Lesemann, J. (2011). Modeling the flow of glaciers in steep terrains: The integrated second-order shallow ice approximation (iSOSIA). Journal of Geophysical Research: Earth Surface, 116(F2). https://doi.org/10.1029/2010JF001900

Wium-Andersen, T., Nielsen, A. H., Hvitved-Jacobsen, T., Brix, H., Arias, C. A. & Vollertsen, J. (2013). Modeling the eutrophication of two mature planted stormwater ponds for runoff control. Ecological Engineering, 61, 601-613. https://doi.org/10.1016/j.ecoleng.2013.07.032

Thorning, F., Jensen, F. & Ogilby, P. R. (2020). Modeling the Effect of Solvents on Nonradiative Singlet Oxygen Deactivation: Going beyond Weak Coupling in Intermolecular Electronic-to-Vibrational Energy Transfer. Journal of Physical Chemistry B, 124(11), 2245-2254. https://doi.org/10.1021/acs.jpcb.0c00807

Baly, L., Quesada, I., Murray, A. S., Martin, G., Espen, P., Arteche, R. & Jain, M. (2021). Modeling the charge deposition in quartz grains during natural irradiation and its influence on the optically stimulated luminescence signal. Radiation Measurements, 142, Artikel 106564. https://doi.org/10.1016/j.radmeas.2021.106564

Engsvang, M. & Elm, J. (2022). Modeling the Binding Free Energy of Large Atmospheric Sulfuric Acid-Ammonia Clusters. ACS Omega, 7(9), 8077-8083. https://doi.org/10.1021/acsomega.1c07303

Mascarin, L., Prigiobbe, V., Skibsted, J. & Valentini, L. (2026). Modeling the alkaline dissolution of metakaolinite. Cement and Concrete Research, 203, Artikel 108181. https://doi.org/10.1016/j.cemconres.2026.108181

Trolle, G. B., Kubečka, J. & Elm, J. (2026). Modeling the Aerosol Aqueous Phase: Solvation of Pyruvic Acid Analogs and Na⁺, Cl^–Ions. Journal of Physical Chemistry A, 130(5), 1175-1187. https://doi.org/10.1021/acs.jpca.5c07598

Nazari, M. (2025). Modeling Temporal Characteristics and Topological Structures in Data-driven Signal. [Ph.d.-afhandling, Aarhus Universitet].

Fausto, R., Mernild, S., Hasholt, B., Ahlstrøm, A. & Knudsen, N. T. (2012). Modeling suspended sediment concentration and transport, Mittivakkat glacier, southeast Greenland. Arctic, Antarctic, and Alpine Research, 44(3), 306-318. https://doi.org/10.1657/1938-4246-44.3.306

Inceoglu, F., Olsen, J., Rasmussen, T. L. & Austin, W. (2013). Modeling Surface Ocean 14C Variability during MIS 3 with GENIE-1: An outline. Abstract fra Integrating Ice core, Marine and Terrestrial records (INTIMATE) 2013, Blair Atholl, Storbritannien.

Maric, S., Lind, T. K., Lyngsø, J., Cárdenas, M. & Pedersen, J. S. (2017). Modeling Small-Angle X-ray Scattering Data for Low-Density Lipoproteins: Insights into the Fatty Core Packing and Phase Transition. ACS Nano, 11(1), 1080-1090. https://doi.org/10.1021/acsnano.6b08089

Wædegaard, K. J., Sandkamm, D. B., Haahr-Lillevang, L., Bay, K. G. & Balling, P. (2014). Modeling short-pulse laser excitation of dielectric materials. Applied Physics A: Materials Science & Processing. https://doi.org/10.1007/s00339-014-8231-8

Koldsø, H. (2011). Modeling Selected Proteins in Health and Disease: Computational Studies of Monoamine Transporters and Amyloid Proteins.

Kristoffersen, H. H. (2013). Modeling Photosensitive Materials - Rutile TiO₂. Det Naturvidenskabelige Fakultet, Aarhus Universitet.

Pagonis, V., Jain, M., Murray, A. S., Ankjærgaard, C. & Chen, R. (2012). Modeling of the shape of infrared stimulated luminescence signals in feldspars. Radiation Measurements, 47(9), 870-876. https://doi.org/10.1016/j.radmeas.2012.02.012

Dubrovsky, N. A., Gladilin, A., Møhl, B. & Wahlberg, M. (2004). Modeling of the dolphin's clicking sound source: the influence of the critical parameters. Acoustical Physics, 50(4), 463-468.

Têtu, A. & Bech Nielsen, B. (2012). Modeling of superheating and undercooling of strained semiconductor nanocrystals in SiO. Journal of Physics: Condensed Matter, 24(48). https://doi.org/10.1088/0953-8984/24/48/485301

Czarnocka-Cieciura, A., Poznański, J., Turtola, M., Tomecki, R., Krawczyk, P. S., Mroczek, S., Orzeł, W., Saha, U., Jensen, T. H., Dziembowski, A. & Tudek, A. (2024). Modeling of mRNA deadenylation rates reveal a complex relationship between mRNA deadenylation and decay. EMBO Journal, 43(24), 6525-6554. Artikel e1737. https://doi.org/10.1038/s44318-024-00258-3

Jessen, C. M. (2013). Modeling of detergent-solubilized membrane proteins using small-angle X-ray scattering.

Kristoffersen, H. H., Martinez, U. & Hammer, B. (2014). Modeling Methyl Chloride Photo Oxidation by Oxygen Species on TiO₂(110). Topics in Catalysis, 57(1-4), 171-176. https://doi.org/10.1007/s11244-013-0173-4

Trolle, G. B., Kubecka, J. & Elm, J. (2025). Modeling Local Aerosol Surface Environments: Clustering of Pyruvic Acid Analogs, Water, and Na+, Cl^_ Ions. ACS Omega, 10(1), 1470–1485. https://doi.org/10.1021/acsomega.4c09196

Vilhjálmsson, B. J., Yang, J., Finucane, H. K., Gusev, A., Lindström, S., Ripke, S., Genovese, G., Loh, P.-R., Bhatia, G., Do, R., Hayeck, T., Won, H.-H., Kathiresan, S., Pato, M., Pato, C., Tamimi, R., Stahl, E., Zaitlen, N., Pasaniuc, B. ... Børglum, A. (2015). Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores. American Journal of Human Genetics, 97(4), 576-92. https://doi.org/10.1016/j.ajhg.2015.09.001

Liebl, M., Robl, J., Hergarten, S., Egholm, D. L. & Stüwe, K. (2023). Modeling large-scale landform evolution with a stream power law for glacial erosion (OpenLEM v37): benchmarking experiments against a more process-based description of ice flow (iSOSIA v3.4.3). Geoscientific Model Development, 16(4), 1315-1343. https://doi.org/10.5194/gmd-16-1315-2023

Jiang, C., Jiang, B. W., Christensen-Dalsgaard, J., Bedding, T. R., Stello, D., Huber, D., Frandsen, S., Kjeldsen, H., Karoff, C., Mosser, B., Demarque, P., Fanelli, M. N., Kinemuchi, K. & Mullally, F. (2011). Modeling Kepler Observations of Solar-like Oscillations in the Red Giant Star HD 186355. Astrophysical Journal, 742(2), Article id. 120. https://doi.org/10.1088/0004-637X/742/2/120

Bødker, S., Mathiasen, N. R. & Petersen, M. G. (2012). Modeling Is Not the Answer! Designing for Usable Security. interactions, 19(5), 54-57. https://doi.org/10.1145/2334184.2334197

Sundblom, A., Oliveira, C. L. P., Palmqvist, A. E. C. & Pedersen, J. S. (2009). Modeling in Situ Small-Angle X-ray Scattering Measurements Following the Formation of Mesostructured Silica. Journal of Physical Chemistry Part C: Nanomaterials and Interfaces, 113, 7706-7713.

Viezzoli, A., Kaminskiy, V. & Fiandaca, G. (2017). Modeling induced polarization effects in helicopter time domain electromagnetic data: Synthetic case studies. Geophysics, 82(2), E31-E50. https://doi.org/10.1190/GEO2016-0096.1

Cawthorn, R. G. & Tegner, C. (2017). Modeling incompatible trace-element abundances in plagioclase in the Skaergaard intrusion using the trapped liquid shift effect. Contributions to Mineralogy and Petrology, 172(11-12), Artikel 93. https://doi.org/10.1007/s00410-017-1411-8

Vilhelmsen, T. N. (2012). Modeling groundwater flow in geological complex areas using local grid refinement, combined parameterization methods and joint inversion. Institut for Geoscience, Aarhus Universitet.

Sveinbjörnsdóttir, Á. E., Olsen, J. & Heinemeier, J. (2024). Modeling corrections of bomb-pulse radiocarbon dating in forensic cases. Radiocarbon, 66(5), 1440-1449. https://doi.org/10.1017/RDC.2023.54

Knudsen, M. & Nielsen, R. (2009). Modeling cis- and trans-regulation in Drosophila species. I Tampere International Center for Signal Processing, TICSP Series 48 Tampere International Center for Signal Processing.

Bruix, A. & Neyman, K. M. (2016). Modeling Ceria-Based Nanomaterials for Catalysis and Related Applications. Catalysis Letters, 146(10), 2053-2080. https://doi.org/10.1007/s10562-016-1799-1

Moos, K., Holm, A. I. S., Perez Haas, Y., Ludwig, R., Grau Eriksen, J. & Sofia Korreman, S. (2026). Modeling bilateral lymphatic head and neck tumor progression for personalized elective target volume definition. Physics in Medicine and Biology, 71(3), Artikel 035004. https://doi.org/10.1088/1361-6560/ae36e2

Ingstrup, M. & Hansen, K. M. (2009). Modeling architectural change - architectural scripting and its applications to reconfiguration. I Ikke angivet (s. 337). IEEE Computer Society Press. https://doi.org/10.1109/WICSA.2009.5290670

Asmussen, S. (2013). Modeling and performance of Bonus-Malus Systems: Stationarity versus age-correction. T.N. Thiele Centre, Department of Mathematics, Aarhus University. Thiele Research Reports Nr. 05 http://math.au.dk/publs?publid=989

Kahveci, D. & Xu, X. (2011). Modeling and optimization of lipase-catalyzed hydrolysis of salmon oil for facile and efficient concentration of omega 3 PUFA. Global Journal of Biochemistry, 2(2), 124-133.

Ladefoged, L. K., Munro, L. J., Juel Pedersen, A., Lummis, S. C. R., Bang-Andersen, B., Balle, T., Schiøtt, B. & Kristensen, A. S. (2018). Modeling and mutational analysis of the binding mode for the multimodal antidepressant drug vortioxetine to the human 5-HT3A receptor. Molecular Pharmacology, 94(6), 1421-1434. https://doi.org/10.1124/mol.118.113530

Blunck, H., Hinrichs, K., Sondern, J. & Vahrenhold, J. (2006). Modeling and Engineering Algorithms for Mobile Data. I A. Riedl, W. Kainz & G. A. Elmes (red.), Progress in Spatial Data Handling: 12th International Symposium on Spatial Data Handling (s. 61-77). Springer. https://doi.org/10.1007/3-540-35589-8_5

Hansen, K. M. & Ingstrup, M. (2010). Modeling and analyzing architectural change with alloy. I Proceedings of the 2010 ACM Symposium on Applied Computing (s. 2257-2264). Association for Computing Machinery. https://doi.org/10.1145/1774088.1774560

Straasø, T., Dippel, A.-C., Becker, J. & Als-Nielsen, J. (2014). Model-independent structure factors from powder X-ray diffraction: A novel approach. Journal of Synchrotron Radiation, 21(1), 119-126. https://doi.org/10.1107/S1600577513028269

Bellinger, E. P., Basu, S., Hekker, S. & Ball, W. H. (2017). Model-independent Measurement of Internal Stellar Structure in 16 Cygni A and B. Astrophysical Journal, 851(2), Artikel 80. https://doi.org/10.3847/1538-4357/aa9848

Volosniev, A. G., Fedorov, D. V., Jensen, A. S. & Zinner, N. T. (2011). Model independence in two dimensions and polarized cold dipolar molecules. Physical Review Letters, 106(25), PRL 106, 250401. https://doi.org/10.1103/PhysRevLett.106.250401

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