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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Zhou, C., Grinderslev, J., Skov, L. N., Jørgensen, M., Li, Y., Skibsted, J., Yan, Y. & Jensen, T. R. (2022). Polymorphism, ionic conductivity and electrochemical properties of lithium closo-deca- and dodeca-borates and their composites, Li ₂B ₁₀H ₁₀-Li ₂B ₁₂H ₁₂. Journal of Materials Chemistry A, 10(30), 16137-16151. https://doi.org/10.1039/D2TA00337F

Ørsted, M., Yashiro, E., Hoffmann, A. A. & Kristensen, T. N. (2022). Population bottlenecks constrain host microbiome diversity and genetic variation impeding fitness. PLoS Genetics, 18(5), Artikel e1010206. https://doi.org/10.1371/journal.pgen.1010206

Privé, F., Aschard, H., Carmi, S., Folkersen, L., Hoggart, C., O'Reilly, P. F. & Vilhjálmsson, B. J. (2022). Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. American Journal of Human Genetics, 109(1), 12-23. https://doi.org/10.1016/j.ajhg.2021.11.008

Lu, H. P., Tian, H., Zhang, L. Y., Karoff, C., Chen, H. C., Shi, J. R., Hou, Z. Y., Chen, Y. J., Xu, Y., Wu, Y. C., Cao, D. T. & Wang, J. T. (2022). Possible detection of coronal mass ejections on late-type main-sequence stars in LAMOST medium-resolution spectra. Astronomy and Astrophysics, 663, Artikel A140. https://doi.org/10.1051/0004-6361/202142909

Hansen-Felby, M., Henriksen, M. L., Pedersen, S. U. & Daasbjerg, K. (2022). Postfunctionalization of Self-Immolative Poly(dithiothreitol) Using Steglich Esterification. Macromolecules, 55(13), 5788-5794. https://doi.org/10.1021/acs.macromol.2c00551

Truong, T. T., Hayn, M., Frich, C. K., Olari, L.-R., Ladefoged, L. K., Olesen, M. T. J., Jakobsen, J. H., Lunabjerg-Vestergaard, C. K., Schiøtt, B., Münch, J. & Zelikin, A. N. (2022). Potentiation of Drug Toxicity through Virus Latency Reversal Promotes Preferential Elimination of HIV Infected Cells. Advanced Therapeutics, 5(11), Artikel 2200113. https://doi.org/10.1002/adtp.202200113

Beyer, J. (2022). Powder X-ray Diffraction: Profiling the Patterns. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Liu-Zhang, C.-D., Matt, C., Maurer, U., Rito, G. & Thomsen, S. E. (2022). Practical Provably Secure Flooding for Blockchains. I S. Agrawal & D. Lin (red.), Advances in Cryptology – ASIACRYPT 2022 - 28th International Conference on the Theory and Application of Cryptology and Information Security, 2022, Proceedings: ASIACRYPT 2022 (s. 774–805). Springer. https://doi.org/10.1007/978-3-031-22963-3_26

Cavassim, M. I. A., Baker, Z., Hoge, C., Schierup, M. H., Schumer, M. & Przeworski, M. (2022). PRDM9 losses in vertebrates are coupled to those of paralogs ZCWPW1 and ZCWPW2. Proceedings of the National Academy of Sciences (PNAS), 119(9), Artikel e2114401119. https://doi.org/10.1073/pnas.2114401119

Villadsen, T., Ligterink, N. F. W. & Andersen, M. (2022). Predicting binding energies of astrochemically relevant molecules via machine learning. Astronomy and Astrophysics, 666, Artikel A45. https://doi.org/10.1051/0004-6361/202244091

Xu, W., Reuter, K. & Andersen, M. (2022). Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation. Nature Computational Science, 2(7), 443-450. https://doi.org/10.1038/s43588-022-00280-7

Gordon, J. B., Sanei, H. & Pedersen, P. K. (2022). Predicting hydrogen and oxygen indices (HI, OI) from conventional well logs using a Random Forest machine learning algorithm. International Journal of Coal Geology, 249, Artikel 103903. https://doi.org/10.1016/j.coal.2021.103903

Dalgaard, M., Motzoi, F. & Sherson, J. (2022). Predicting quantum dynamical cost landscapes with deep learning. Physical Review A, 105(1), Artikel 012402. https://doi.org/10.1103/PhysRevA.105.012402

Schneider, R., Mahmood, H., Frederiksen, R. R., Højbjerg, A. L. & Stisen, S. (2022). Prediction of drain flow fraction at high spatial resolution by combining physically based models and machine learning. EGU22-3694. https://doi.org/10.5194/egusphere-egu22-3694

Bülow, E., Hahn, U., Andersen, I. T., Rolfson, O., Pedersen, A. B. & Hailer, N. P. (2022). Prediction of Early Periprosthetic Joint Infection After Total Hip Arthroplasty. Clinical Epidemiology, 14, 239-253. https://doi.org/10.2147/CLEP.S347968

Bale, L. K., Schafer, M. J., Atkinson, E. J., Le Brasseur, N. K., Haak, A. J., Oxvig, C. & Conover, C. A. (2022). Pregnancy-associated plasma protein-A (PAPP-A) is a key component of an interactive cellular mechanism promoting pulmonary fibrosis. Journal of Cellular Physiology, 237(4), 2220-2229. https://doi.org/10.1002/jcp.30687

Kjærsgaard, N. L., Hansen, R. A. & Gothelf, K. V. (2022). Preparation of Maleimide-Modified Oligonucleotides from the Corresponding Amines Using N-Methoxycarbonylmaleimide. Bioconjugate Chemistry, 33(7), 1254–1260. https://doi.org/10.1021/acs.bioconjchem.2c00144

Kristensen, M. F., Sorensen, E. S., Del Rey, Y. C. & Schlafer, S. (2022). Prevention of Initial Bacterial Attachment by Osteopontin and Other Bioactive Milk Proteins. Biomedicines, 10(8), Artikel 1922. https://doi.org/10.3390/biomedicines10081922

Brodal, G. S. (2022). Priority Queues with Decreasing Keys. I P. Fraigniaud & Y. Uno (red.), 11th International Conference on Fun with Algorithms, FUN 2022 (s. 8:1-8:19). Dagstuhl Publishing. https://doi.org/10.4230/LIPIcs.FUN.2022.8

Aggarwal, D., Obremski, M., Ribeiro, J., Simkin, M. & Siniscalchi, L. (2022). Privacy Amplification with Tamperable Memory via Non-Malleable Two-Source Extractors. IEEE Transactions on Information Theory, 68(8), 5475-5495. https://doi.org/10.1109/TIT.2022.3167404

Hansen, T. M., Mosegaard, K., Holm, S., Andersen, F., Fischer, B. M. B. & Hansen, A. E. (2022). Probabilistic deconvolution of PET images using informed priors. Frontiers in Nuclear Medicine, 2, Artikel 1028928. https://doi.org/10.3389/fnume.2022.1028928

Hansen, T. M. (2022). Probabilistic integration of (geo)-information. Abstract fra IUQ22, Helsingør, Danmark. https://people.compute.dtu.dk/pcha/CUQI/Program.pdf

Hansen, T. M., Pallesen, T. M., Rasmussen, T. B., Gulbrandsen, M. L. & Sabel, U. (2022). Probabilistic inversion for geological features directly from airborne EM data. I Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2022) (s. 48)

Hansen, T. M. (2022). Probabilistic PET Image Analysis Using Informed Prior Models. Abstract fra SIAM Conference on Imaging Science 2022. https://meetings.siam.org/sess/dsp_talk.cfm?p=117519

Bidlingmaier, M. E. (2022). Probabilistic Programming and Multiverse Models of Type Theory. [Ph.d.-afhandling, Aarhus Universitet]. Aarhus Universitet.

Fomichov, V., Franceschi, S. & Ivanovs, J. (2022). Probability of total domination for transient reflecting processes in a quadrant. Advances in Applied Probability, 54(4), 1094-1138. https://doi.org/10.1017/apr.2022.2

Ali, A. A. A. I., Hoffmann, F., Schäfer, L. V. & Mulder, F. A. . A. (2022). Probing Methyl Group Dynamics in Proteins by NMR Cross-Correlated Dipolar Relaxation and Molecular Dynamics Simulations. Journal of Chemical Theory and Computation, 18(12), 7722-7732. https://doi.org/10.1021/acs.jctc.2c00568

Li, Z., Liu, Q., Zhang, D., Wang, Y., Zhang, Y., Li, Q. & Dong, MD. (2022). Probing the hydration friction of ionic interfaces at the atomic scale. Nanoscale Horizons, 7(4), 368-375. https://doi.org/10.1039/d1nh00564b

Radoman, N., Christiansen, S., Johansson, J. H., Hawkes, J. A., Bilde, M., Cousins, I. T. & Salter, M. E. (2022). Probing the impact of a phytoplankton bloom on the chemistry of nascent sea spray aerosol using high-resolution mass spectrometry. Environmental Science: Atmospheres, 2(5), 1152-1169. https://doi.org/10.1039/d2ea00028h

Werby, N., Maxwell, A. S., Forbes, R., De Morisson Faria, C. F. & Bucksbaum, P. H. (2022). Probing two-path electron quantum interference in strong-field ionization with time-correlation filtering. Physical Review A, 106(3), Artikel 033118. https://doi.org/10.1103/PhysRevA.106.033118

Alvarez, A., Fuentes, K., Arias, C. A. & R. Chaparro, T. (2022). Production of hydrogen from beverage wastewater by dark fermentation in an internal circulation reactor: Effect on pH and hydraulic retention time. Energy Conversion and Management, 15, Artikel 100232. https://doi.org/10.1016/j.ecmx.2022.100232

Brennan, S. J., Fraser, M., Johansson, J., Pastorello, A., Kotak, R., Stevance, H. F., Chen, T. W., Eldridge, J. J., Bose, S., Brown, P. J., Callis, E., Cartier, R., Dennefeld, M., Dong, S., Duffy, P., Elias-Rosa, N., Hosseinzadeh, G., Hsiao, E., Kuncarayakti, H. ... Van Soelen, B. (2022). Progenitor, environment, and modelling of the interacting transient AT 2016jbu (Gaia16cfr). Monthly Notices of the Royal Astronomical Society, 513(4), 5666-5685. https://doi.org/10.1093/mnras/stac1228

Teo, T. Y., Ma, X., Pastor, E., Wang, H., George, J. K., Yang, J. K. W., Wall, S., Miscuglio, M., Simpson, R. E. & Sorger, V. J. (2022). Programmable chalcogenide-based all-optical deep neural networks. Nanophotonics, 11(17), 4073-4088. https://doi.org/10.1515/nanoph-2022-0099

Li, C., Zhang, X., Dong, M. & Han, X. (2022). Progress on Crowding Effect in Cell-like Structures. Membranes, 12(6), Artikel 593. https://doi.org/10.3390/membranes12060593

Genoni, M., Scaudo, A., Li Causi, G., Cabona, L., Landoni, M., Campana, S., Schipani, P., Claudi, R., Aliverti, M., Baruffolo, A., Ben-Ami, S., Biondi, F., Capasso, G., Cosentino, R., D’Alessio, F., D’Avanzo, P., Hershko, O., Kuncarayakti, H., Munari, M. ... Ventura, H. (2022). Progress on the simulation tools for the SOXS spectrograph: Exposure time calculator and End-to-End simulator. I Modeling, Systems Engineering, and Project Management for Astronomy X Artikel 121870C SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2628863

Vitali, F., Aliverti, M., D'Alessio, F., Genoni, M., Scuderi, S., Munari, M., Oggioni, L., Scaudo, A., Pariani, G., Bellassai, G., Di Benedetto, R., Martinetti, E., Miccichè, A., Nicotra, G., Occhipinti, G., Campana, S., Schipani, P., Claudi, R., Capasso, G. ... Young, D. (2022). Progress on the SOXS NIR Spectrograph AIT. I C. J. Evans, J. J. Bryant & K. Motohara (red.), Ground-based and Airborne Instrumentation for Astronomy IX Artikel 121847Z SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2629783

Schipani, P., Campana, S., Claudi, R., Aliverti, M., Baruffolo, A., Ben-Ami, S., Capasso, G., Cosentino, R., D’Alessio, F., D’Avanzo, P., Hershko, O., Kuncarayakti, H., Landoni, M., Munari, M., Pignata, G., Radhakrishnan, K., Rubin, A., Scuderi, S., Vitali, F. ... Saviane, I. (2022). Progress on the SOXS transients chaser for the ESO-NTT. I C. J. Evans, J. J. Bryant & K. Motohara (red.), Ground-based and Airborne Instrumentation for Astronomy IX Artikel 121840O SPIE - International Society for Optical Engineering. https://doi.org/10.1117/12.2628329

Lunding, M. S., Leiva, G., Grønbæk, J. E. & Petersen, M. G. (2022). ProjectAR: Rapid Prototyping of Projection Mapping with Mobile Augmented Reality. Poster-session præsenteret på Adjunct Proceedings of the 2022 Nordic Human-Computer Interaction Conference. https://doi.org/10.1145/3547522.3547679

Kiehl, J., Hochdörffer, T., Carrella, L. M., Schünemann, V., Nygaard, M. H., Overgaard, J. & Rentschler, E. (2022). Pronounced Magnetic Bistability in Highly Cooperative Mononuclear [Fe(L^npdtz)₂(NCX)₂] Complexes. Inorganic Chemistry, 61(7), 3141-3151. https://doi.org/10.1021/acs.inorgchem.1c03491

Jensen, S. V. B. & Madsen, L. B. (2022). Propagation time and nondipole contributions to intraband high-order harmonic generation. Physical Review A, 105(2), Artikel L021101. https://doi.org/10.1103/PhysRevA.105.L021101

Raedschelders, T. & Stevenson, G. (2022). Proper connective differential graded algebras and their geometric realizations. European Journal of Mathematics, 8, 574-598. https://doi.org/10.1007/s40879-022-00579-9

Fleischhacker, N., Larsen, K. G. & Simkin, M. (2022). Property-Preserving Hash Functions for Hamming Distance from Standard Assumptions. I O. Dunkelman & S. Dziembowski (red.), Advances in Cryptology – EUROCRYPT 2022: 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings (s. 764-781). Springer. https://doi.org/10.1007/978-3-031-07085-3_26

Zaheer, Y., Vorup-Jensen, T., Webster, T. J., Ahmed, M., Khan, W. & Ihsan, A. (2022). Protein based nanomedicine: Promising therapeuticmodalities against inflammatory disorders. Nano Select, 3(4), 733-750. https://doi.org/10.1002/nano.202100214

Nielsen, L. D. F., Hansen-Bruhn, M., Nijenhuis, M. A. D. & Gothelf, K. V. (2022). Protein-Induced Fluorescence Enhancement and Quenching in a Homogeneous DNA-Based Assay for Rapid Detection of Small-Molecule Drugs in Human Plasma. ACS Sensors, 7(3), 856-865. https://doi.org/10.1021/acssensors.1c02642

Ghorbani, S., Shahrokhtash, A., Gautrot, J. E. & Sutherland, D. S. (2022). Protein Ligand Nanopattern Size Selects for Cellular Adhesion via Hemidesmosomes over Focal Adhesions. Small Methods, 6(6), e2200152. Artikel 2200152. https://doi.org/10.1002/smtd.202200152

Valdetaro, L., Stick, L. B., Sitarz, M. K., Muren, L., Balling, P., Skyt, P. S., Petersen, J. B. B. & Jensen, M. F. (2022). Proton therapy dose distributions around cardiac implant leads measured with 3D dosimeters and films. Radiotherapy & Oncology, 170, S1353-S1354.

Strydonck, T. V., Georges, A. L., Guéneau, A., Trieu, A., Timany, A., Piessens, F., Birkedal, L. & Devriese, D. (2022). Proving full-system security properties under multiple attacker models on capability machines. I Proceedings - 2022 IEEE 35th Computer Security Foundations Symposium, CSF 2022 (s. 80-95). IEEE. https://doi.org/10.1109/CSF54842.2022.9919645

Atzori Corona, M., Murgia, R., Cadeddu, M., Archidiacono, M., Gariazzo, S., Giunti, C. & Hannestad, S. (2022). Pseudoscalar sterile neutrino self-interactions in light of Planck, SPT and ACT data. Journal of Cosmology and Astroparticle Physics, 2022(6), Artikel 010. https://doi.org/10.1088/1475-7516/2022/06/010

Fage-Butler, A., Ledderer, L. K. & Nielsen, K. H. (2022). Public trust and mistrust of climate science: A meta-narrative review. Public Understanding of Science, 31(7), 832 –846. https://doi.org/10.1177/09636625221110028

Baum, C., David, B. & Dowsley, R. (2022). (Public) Verifiability for Composable Protocols Without Adaptivity or Zero-Knowledge. I C. Ge & F. Guo (red.), Provable and Practical Security - 16th International Conference, ProvSec 2022, Proceedings (s. 249-272). Springer. https://doi.org/10.1007/978-3-031-20917-8_17

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