Publications

Follow the latest publications from the Faculty of Natural Sciences.

Villadsen, T., Ligterink, N. F. W. & Andersen, M. (2022). Predicting binding energies of astrochemically relevant molecules via machine learning. Astronomy and Astrophysics, 666, Article 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, Article 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), Article 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), Article 1922. https://doi.org/10.3390/biomedicines10081922

Brodal, G. S. (2022). Priority Queues with Decreasing Keys. In P. Fraigniaud & Y. Uno (Eds.), 11th International Conference on Fun with Algorithms, FUN 2022 (pp. 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, Article 1028928. https://doi.org/10.3389/fnume.2022.1028928

Hansen, T. M. (2022). Probabilistic integration of (geo)-information. Abstract from IUQ22, Helsingør, Denmark. 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. In Proceedings of the Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP 2022) (pp. 48)

Hansen, T. M. (2022). Probabilistic PET Image Analysis Using Informed Prior Models. Abstract from 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. [PhD dissertation, Aarhus University]. 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), Article 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, Article 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), Article 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. In Modeling, Systems Engineering, and Project Management for Astronomy X Article 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. In C. J. Evans, J. J. Bryant & K. Motohara (Eds.), Ground-based and Airborne Instrumentation for Astronomy IX Article 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. In C. J. Evans, J. J. Bryant & K. Motohara (Eds.), Ground-based and Airborne Instrumentation for Astronomy IX Article 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 presented at 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), Article 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. In O. Dunkelman & S. Dziembowski (Eds.), Advances in Cryptology – EUROCRYPT 2022: 41st Annual International Conference on the Theory and Applications of Cryptographic Techniques, 2022, Proceedings (pp. 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. Article 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. In Proceedings - 2022 IEEE 35th Computer Security Foundations Symposium, CSF 2022 (pp. 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), Article 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. In C. Ge & F. Guo (Eds.), Provable and Practical Security - 16th International Conference, ProvSec 2022, Proceedings (pp. 249-272). Springer. https://doi.org/10.1007/978-3-031-20917-8_17

Scholz, V. V., Meckenstock, R. U., Nielsen, L. P. & Risgaard-Petersen, N. (2022). Publisher Correction: Cable bacteria reduce methane emissions from rice-vegetated soils. Nature Communications, 13(1), Article 1285. https://doi.org/10.1038/s41467-022-29008-x

Antaki, D., Guevara, J., Maihofer, A. X., Klein, M., Gujral, M., Grove, J., Carey, C. E., Hong, O., Arranz, M. J., Hervas, A., Corsello, C., Vaux, K. K., Muotri, A. R., Iakoucheva, L. M., Courchesne, E., Pierce, K., Gleeson, J. G., Robinson, E. B., Nievergelt, C. M. & Sebat, J. (2022). Publisher Correction: A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex. Nature Genetics, 54(8), Article 1259. https://doi.org/10.1038/s41588-022-01145-5

Sharma, A. N., Bedding, T. R., Saio, H. & White, T. R. (2022). Pulsating B stars in the Scorpius-Centaurus Association with TESS. Monthly Notices of the Royal Astronomical Society, 515(1), 828-840. https://doi.org/10.1093/mnras/stac1816

Jacobs, K., Devriese, D. & Timany, A. (2022). Purity of an ST monad: Full abstraction by semantically typed back-translation. Proceedings of the ACM on Programming Languages , 6(OOPSLA1), Article 82. https://doi.org/10.1145/3527326

Folkjær, M., Lundegaard, L. F., Jeppesen, H. S., Marks, M. J., Hvid, M. S., Frank, S., Cibin, G. & Lock, N. (2022). Pyrolysis of a metal-organic framework followed by in situ X-ray absorption spectroscopy, powder diffraction and pair distribution function analysis. Dalton Transactions, 51(28), 10740-10750. https://doi.org/10.1039/d2dt00616b

Sørensen, M. K., Beyer, M., Jensen, O. N. & Nielsen, N. C. (2022). Quantification of protein and phosphorus in livestock feed using mobile NMR sensor technology. Biosystems Engineering, 216, 93-97. https://doi.org/10.1016/j.biosystemseng.2022.02.004

Henriksen, M. L., Nielsen, C., Pedersen, D., Andersen, G. R., Thiel, S., Palarasah, Y. & Hansen, S. W. K. (2022). Quantification of the pro-form of human complement component factor D (adipsin). Journal of Immunological Methods, 507, Article 113295. https://doi.org/10.1016/j.jim.2022.113295

Spackman, P. R., Grosjean, A., Thomas, S. P., Karothu, D. P., Naumov, P. & Spackman, M. A. (2022). Quantifying Mechanical Properties of Molecular Crystals: A Critical Overview of Experimental Elastic Tensors. Angewandte Chemie - International Edition, 61(6), Article e202110716. https://doi.org/10.1002/anie.202110716

Lévy, L., Thalund-Hansen, R., Bording, T. S., Fiandaca, G., Christiansen, A. V., Rügge, K., Tuxen, N., Hag, M. P. & Bjerg, P. L. (2022). Quantifying Reagent Spreading by Cross-Borehole Electrical Tomography to Assess Performance of Groundwater Remediation. Water Resources Research, 58(9), Article e2022WR032218. https://doi.org/10.1029/2022WR032218

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