Scientific output

This page gives an overview of scientific papers that have been produced based on work performed on the Hábrók, Peregrine and Millipede compute clusters of the University of Groningen, or computing work that has been supported by staff of the HPC team of the Center of Information Technology of the university.

If you want to acknowledge the use of the Hábrók cluster and the support of the CIT in your papers you can use the following acknowledgement:

We thank the Center for Information Technology of the University of Groningen for their support and for providing access to the Hábrók high performance computing cluster.

This list has been first constructed in February 2016, many older papers are therefore not reported. It also relies on input from the individual researchers and will therefore also not be complete. If you want to have your paper(s) added to this list, please send the references (preferably DOI) to hpc@rug.nl.

2026

Arabhavi, A. M., Kamp, I., Van Dishoeck, E. F., et al. (2026). Molecular diagnostics for the mid-infrared emission of planet-forming disks: Carbon and oxygen elemental abundances. Astronomy & Astrophysics, 708, A82 [ DOI | http ]
Aswath, A., Alsahaf, A. M. J., Duinkerken, B. H. P., et al. (2026). ColorEM-Net: Automated Segmentation of Structures in Large-Scale Electron Microscopy Using Element-Derived Ground Truth. In M. Castrillón-Santana, C. M. Travieso-González, O. Deniz Suarez, D. Freire-Obregón, D. Hernández-Sosa, J. Lorenzo-Navarro, & O. J. Santana, editors, Computer Analysis of Images and Patterns, volume 15621, pages 220–231. Springer Nature Switzerland, Cham. ISBN 978-3-032-04967-4 978-3-032-04968-1. Series Title: Lecture Notes in Computer Science [ DOI | http ]
Brons, J. K., Hackl, T., Iacovelli, R., et al. (2026). De novo whole genome assembly of the globally invasive green shore crab Carcinus maenas (Linnaeus, 1758) via long-read Oxford Nanopore MinION sequencing. Journal of Heredity, 117(3), 537–544 [ DOI | http ]
Brunner, F., Fioravanti, D., & Maresca, F. (2026). Liquid metal embrittlement in Fe-Zn: What can we learn from atomistic simulations? Acta Materialia, 308, 121989 [ DOI | http ]
Chen Ye, C., Tenzin, K., Sławińska, J., & Autieri, C. (2026). Dominant orbital magnetization in the prototypical altermagnet MnTe. Physical Review B, 113(1), 014413 [ DOI | http ]
Cowen, D., Stark, T., Frey, V., & Flache, A. (2026). Trends of Friends – Time dynamics of Surface- and Deep- level traits in friendship formation and maintenance. Social Networks, 84, 180–190 [ DOI | http ]
Cunha, A. V., Neme, N. P., & Havenith, R. W. A. (2026). The aromaticity of cyanine dyes: ring current and valence bond calculations. Physical Chemistry Chemical Physics, 28(10), 6627–6635 [ DOI | http ]
Fehlings, L., Zhang, B., Gibertini, P., et al. (2026). Bruno: backpropagation running undersampled for novel device optimisation. Neuromorphic Computing and Engineering, 6(2), 024003 [ DOI | http ]
Gacesa, R., Jaimes-Becerra, A., Gamero-Mora, E., et al. (2026). Trends in nematocyst abundance provide a mechanism for venom metering in the ‘upside-down’ jellyfish Cassiopea (Cnidaria: Scyphozoa: Rhizostomeae). Journal of Experimental Marine Biology and Ecology, 596, 152175 [ DOI | http ]
Giacomelli, M., Rijal, A., Pilati, F., & Roodbergen, K. J. (2026). An investigation into picking norm times and well-being: fatigue-aware order picking planning. International Journal of Production Research, 64(3), 1079–1103 [ DOI | http ]
Gil De Avalle Bellido, G. & Emmanouilidis, C. (2026). Anomaly Detection in Wind Turbines Using Variational Autoencoders and Isolation Forest. In H. Mizuyama, E. Morinaga, T. Nonaka, T. Kaihara, G. Von Cieminski, & D. Romero, editors, Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond, volume 765, pages 518–532. Springer Nature Switzerland, Cham. ISBN 978-3-032-03533-2 978-3-032-03534-9. Series Title: IFIP Advances in Information and Communication Technology [ DOI | http ]
Gisbert, Y., Sidler, E., & Feringa, B. L. (2026). Towards helical-chirality-controlled molecular motors. Chemical Science, page 10.1039.D6SC00373G [ DOI | http ]
Gonzalez-Migoni, S. & Jansen, T. L. C. (2026). Fluorescence-detected two-dimensional electronic spectroscopy: A coarse-grained simulation approach. The Journal of Chemical Physics, 164(10), 104112 [ DOI | http ]
Granholm, R., Cantineau, A. E. P., Hoek, A., & Stulp, G. (2026). Microsimulation reveals that medically assisted reproduction is unlikely to compensate for cohort fertility decline due to increasing maternal ages. Human Reproduction, 41(4), 552–562 [ DOI | http ]
Grazzi, A., Brown, C. M., Sironi, M., Marrink, S. J., & Pieraccini, S. (2026). Efficient Protein–Ligand Binding Free Energy Estimation with Coarse-Grained Funnel Metadynamics. Journal of Chemical Theory and Computation, 22(2), 1164–1176 [ DOI | http ]
He, T., Jansonius, K., Li, X., et al. (2026). A discriminative primer design workflow enables selective metabarcoding, demonstrated using long-read sequencing of endophytic fungi. FEMS Microbiology Ecology, 102(3), fiag014 [ DOI | http ]
Herreman, L., Gacesa, R., Pibiri, P., et al. (2026). P0125 Enhanced fecal protease activity in inflammatory bowel diseases is driven by human proteases and is effectively inhibited by protease inhibitors isolated from potato. Journal of Crohn’s and Colitis, 20(Supplement_1), jjaf231.306 [ DOI | http ]
Hirakida, R., Tenzin, K., Ye, C. C., et al. (2026). Multipole analysis of spin currents in altermagnetic MnTe. Physical Review B, 113(15), 155104 [ DOI | http ]
Huitema, I. R., Bouma, K. J. A., & Riveni, M. (2026). Decentralized and Segregated or Decentralized and Open? Echo-Chambers Through a Lens on Dedicated Instances in Mastodon. In H. Cherifi, L. M. Rocha, C. Cherifi, & M. Z. Ertem, editors, Complex Networks & Their Applications XIV, volume 1265, pages 254–265. Springer Nature Switzerland, Cham. ISBN 978-3-032-16722-4 978-3-032-16723-1. Series Title: Studies in Computational Intelligence [ DOI | http ]
Ibrohim, M. O., Caselli, T., Bosco, C., & Basile, V. (2026). Multilingual Structured Sentiment Analysis for Environmental Sustainability. pages 7937–7954. Palma, Mallorca, Spain [ DOI | http ]
Islam, T. U., Aggarwal, I., Bellouard, Y., Onck, P. R., & Den Toonder, J. M. J. (2026). Artificial embryonic node elucidates the role of flow in left-right symmetry breaking in vertebrates. Science Advances, 12(13), eaec2328 [ DOI | http ]
Jansen, S. C., Van Beers, P., & Mayer, C. (2026). Engineering Fluoroacetate Dehalogenase by Growth‐Based Selections on Non‐Natural Organofluorides. Angewandte Chemie, 138(10), e24234 [ DOI | http ]
Karapanagiotis, P., Krause, F., & Krick, J. (2026). Face reading technology: improving preference prediction from self-reports using micro-expressions. Journal of Business Research, 208, 116050 [ DOI | http ]
Kimura, T. & Ikoma, M. (2026). Rapid and predictive planet population synthesis model (RAPPS). I. Upgraded model and resulting synthetic populations. Astronomy & Astrophysics [ DOI | http ]
Kimura, T. & Lichtenberg, T. (2026). Water Enrichment of Forming Sub-Neptune Envelopes Limited by Oxygen Exhaustion. The Astrophysical Journal, 1000(2), 220 [ DOI | http ]
Koopmans, L., Dhali, M. A., & Schomaker, L. (2026). Self-HTR: A Novel Self-supervised Handwritten Text Recognition Framework Using Generative Adversarial Networks. In X.-C. Yin, D. Karatzas, & D. Lopresti, editors, Document Analysis and Recognition – ICDAR 2025, volume 16025, pages 391–407. Springer Nature Switzerland, Cham. ISBN 978-3-032-04623-9 978-3-032-04624-6. Series Title: Lecture Notes in Computer Science [ DOI | http ]
Korbeld, K. T., Viliuga, V., & Fürst, M. J. L. J. (2026). Limitations of the refolding pipeline for de novo protein design. Protein Science, 35(6), e70613 [ DOI | http ]
La Marca, A., Margalef-Bentabol, B., Wang, L., et al. (2026). The major merger–active galactic nucleus connection up to cosmic noon. Astronomy & Astrophysics, 708, A373 [ DOI | http ]
La Marca, A., Nardone, M. T., Wang, L., et al. (2026). Galactic bars and active galactic nucleus fuelling in the second half of cosmic history. Astronomy & Astrophysics, 707, A152 [ DOI | http ]
Lichtenberg, T., Schaefer, L., Krissansen-Totton, J., et al. (2026). Coupled atmospHere Interior modeL Intercomparison (CHILI)—Protocol Version 1.0: A CUISINES Intercomparison Project of Magma Ocean Models. The Planetary Science Journal, 7(5), 108 [ DOI | http ]
Losa, J., Simon, F., Linnik, D., et al. (2026). Condition-dependent amorphous protein agglomerates control cytoplasmic rheology. Molecular Cell, 86(9), 1780–1796.e11 [ DOI | http ]
Löcke, M., Van Ooij, P., & Bertoglio, C. (2026). Parameter estimation in blood flow models from highly undersampled k-space magnetic resonance imaging data. Biomechanics and Modeling in Mechanobiology, 25(4), 74 [ DOI | http ]
MacRae, D., Van Der Hoek, L., De Vette, S., et al. (2026). A multi-toxicity deep learning approach for normal tissue complication probability modelling in head and neck cancer patients receiving radiotherapy. Radiotherapy and Oncology, 219, 111486 [ DOI | http ]
Magini, J., Romano, F., & Schettino, G. (2026). Impact of sensitive volume dimensions on microdosimetric measurements of radiation quality for proton therapy. Physica Medica, 148, 105822 [ DOI | http ]
Mahadeshwar, R., Cranenburgh, A. V., Caselli, T., & Nissim, M. (2026). Evaluating the Impact of Source Diversity for RAG in Historical Research. pages 716–734. Palma, Mallorca, Spain [ DOI | http ]
Mahajna, A., Gacesa, R., Keesman, K. J., et al. (2026). Linking composition and function: a two-year metatranscriptomic study of microbial adaptation in an industrial wastewater treatment plant. FEMS Microbiology Ecology, 102(7), fiag051 [ DOI | http ]
Margalef-Bentabol, B., Wang, L., Pandolfo, N., et al. (2026). Active galactic nucleus–host galaxy photometric decomposition using a fast, accurate, and precise deep learning approach. Astronomy & Astrophysics, 706, A304 [ DOI | http ]
Martinez-Tellez, B., Schönke, M., Kovynev, A., et al. (2026). Roseburia inulinivorans increases muscle strength. Gut, pages gutjnl–2025–336980 [ DOI | http ]
Melo Gallegos, V. A., Greenwald, S., Tamir, A., et al. (2026). DSP502 Combines Dual Inhibition of PD-L1 and PVR to Trigger Anticancer Immune Responses. Molecular Cancer Therapeutics, pages OF1–OF18 [ DOI | http ]
Mira, M. S., Soto-Padilla, A., Pen, I., & Billeter, J.-C. (2026). Maternal and developmental temperature modulate adult response to temperature in Drosophila melanogaster. Journal of Thermal Biology, 140, 104526 [ DOI | http ]
Nguyen, H. L., Zhong, K., Do, T. N., et al. (2026). Directly Measuring the Connectivity between Isoenergetic Light-Harvesting Antennas in Plant Photosystem II at Physiological Temperature. The Journal of Physical Chemistry Letters, 17(2), 605–614 [ DOI | http ]
Olivari, F., Van Goethem, M.-J., Brandenburg, S., & Van Der Graaf, E. R. (2026). Advanced image processing for accurate proton radiography with a scintillator screen coupled with a CCD camera: Geant4 simulations and experiments with a two-material phantom. Radiation Measurements, 193, 107635 [ DOI | http ]
Pathapati, A., Mansikkamäki, O., Tyner, A., & Balatsky, A. V. (2026). Accelerated Characterization of Two‐Level Systems in Superconducting Qubits Via Machine Learning. Advanced Quantum Technologies, 9(3), e00868 [ DOI | http ]
Przybysz, P., Tenzin, K., Kilic, B., et al. (2026). Persistent spin texture protected by the approximate symmetry in a weakly interacting graphene/WTe2 heterostructure. Applied Physics Letters, 128(6), 062401 [ DOI | http ]
Qin, T., van Benthem, K. J., Valente, L., & Etienne, R. S. (2026). Parameter Estimation from Phylogenetic Trees Using Neural Networks and Ensemble Learning. Systematic Biology, 75(2), 344–365 [ DOI | http ]
Reitsma, M. L., Prinsen, E. H., Polet, J. D., Borschevsky, A., & Dyall, K. G. (2026). Relativistic quintuple-zeta basis sets for the p block. The Journal of Chemical Physics, 164(6), 064112 [ DOI | http ]
Satvaty, A., Verberne, S., & Turkmen, F. (2026). EL-MIA: Quantifying Membership Inference Risks of Sensitive Entities in LLMs. pages 4611–4625. Palma, Mallorca, Spain [ DOI | http ]
Scalena, D., Sarti, G., Bisazza, A., Fersini, E., & Nissim, M. (2026). Steering Large Language Models for Machine Translation Personalization. In Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 4681–4701. Association for Computational Linguistics, Rabat, Morocco [ DOI | http ]
Seong, M. H., Abbasiharofteh, M., Vos, D., & Koster, S. (2026). Smoothing the Edges: Reconceptualizing Space and Dealing With Modifiable Areal Unit Problems in (Un)Related Variety Research. Geographical Analysis, 58(1), e70025 [ DOI | http ]
Singh, A., Juyal, G., Gacesa, R., et al. (2026). Cross-ethnic evaluation of gut microbial signatures reveal increased colonization with oral pathobionts in the north Indian inflammatory bowel disease cohort. Intestinal Research, 24(2), 255–269 [ DOI | http ]
Snijders, Tom A.B. & Steglich, Christian (2026). Stochastic Actor-Oriented Models for Longitudinal Networks. Cambridge University Press, New York, US. ISBN 978-1-009-84371-3. OCLC: 1578989455
Swankhuisen, E., Potkamp, G., Verkuil, Y. I., et al. (2026). The diet of free-ranging cats in Dutch open habitats: a species-level insight. European Journal of Wildlife Research, 72(4), 87 [ DOI | http ]
Ten Hoven, G. A. H., Knoester, J., & Jansen, T. L. C. (2026). Modeling incoherent exciton transport between chlorosome tubes. The Journal of Chemical Physics, 164(1), 014115 [ DOI | http ]
Timmermans, J. & Schomaker, L. (2026). Trainable movement control using spikes and muscle-twitch dynamics. Frontiers in Neurorobotics, 20, 1761767 [ DOI | http ]
Van Adrichem, K. E., Liguori, N., Croce, R., & Jansen, T. L. C. (2026). Simulated pH-difference infrared spectra: Application to the PsbS monomer. The Journal of Chemical Physics, 164(18), 184107 [ DOI | http ]
Veen, R., Lövdal, S., Vos, K., et al. (2026). Autoencoders versus PCA for feature extraction in FDG PET scans in neurodegenerative diseases. In ESANN 2026 proceesdings, pages 631–636. Ciaco - i6doc.com, Bruges (Belgium) and online. ISBN 978-2-87587-096-4 [ DOI | .pdf ]
Vermeer, E., Prins, F. M., Hidding, I. J., et al. (2026). Metagenomic Sequencing Reveals Distinct Gut Microbiome Profiles in Therapy-Naïve de Novo Pediatric Inflammatory Bowel Disease. Inflammatory Bowel Diseases, 32(2), 207–219 [ DOI | http ]
Wilkins, S. G., Perrett, H. A., Udrescu, S. M., et al. (2026). Ionization potential of radium monofluoride. Physical Review Research, 8(1), L012012 [ DOI | http ]
Wu, J., Andreu-Sánchez, S., Peng, H., et al. (2026). The interplay of sleep characteristics with health factors and gut microbiome. Nature Communications, 17(1), 2731 [ DOI | http ]
Xie, S., Valente, L., & Etienne, R. S. (2026). Inferring state‐dependent diversification rates using approximate Bayesian computation. Methods in Ecology and Evolution, 17(3), 805–820 [ DOI | http ]
Zella, G., Bolderdijk, J. W., Peels, S., Wakker, G., & Caselli, T. (2026). Oat Milk Vegan Chocolate Taste Great!: Monitoring the Food Transition Debate in Reddit. pages 11209–11220. Palma, Mallorca, Spain [ DOI | http ]
Zhang, Y., Ernst, A. F., Lafit, G., Eiling, W. B., & Bringmann, L. F. (2026). An investigation into in‐sample and out‐of‐sample model selection for nonstationary autoregressive models. British Journal of Mathematical and Statistical Psychology, 79(2), 409–436 [ DOI | http ]
Zheng, J., Rees-Baylis, E., Janzen, T., et al. (2026). Inbreeding and demography interact to impact the recovery of a bottlenecked crested ibis population. Nature Communications, 17(1), 2785 [ DOI | http ]

2025

Achterberg, T. & de Jong, A. (2025). ProPr54 web server: predicting σ54 promoters and regulon with a hybrid convolutional and recurrent deep neural network. NAR Genomics and Bioinformatics, 7(1), lqae188 [ DOI | http ]
Aróstica, R., Nolte, D., Brown, A., et al. (2025). A software benchmark for cardiac elastodynamics. Computer Methods in Applied Mechanics and Engineering, 435, 117485 [ DOI | http ]
Bai, S., Yang, X., Koszorús, �., et al. (2025). Charge Radii of Neutron-Rich Scandium Isotopes and the Seniority Symmetry in the 0 f 7 / 2 Shell. Physical Review Letters, 134(18), 182501 [ DOI | http ]
Barts, E., Tenzin, K., & Sławińska, J. (2025). Efficient spin accumulation carried by slow relaxons in chiral tellurium. Nature Communications, 16(1), 4056 [ DOI | http ]
Brait, N., Hackl, T., & Lequime, S. (2025). detectEVE: Fast, Sensitive and Precise Detection of Endogenous Viral Elements in Genomic Data. Molecular Ecology Resources, 25(4), e14083 [ DOI | http ]
Bravo, H., Ben Chehida, Y., & Van Der Meij, S. E. T. (2025). SAMPLE: An R Package to Estimate Sampling Effort for Species' Occurrence Rates. Ecology and Evolution, 15(4), e70998 [ DOI | http ]
Bruegger, J., Cătană, D. I., Macovaz, V., et al. (2025). Large-Image Object Detection for Fine-Grained Recognition of Punches Patterns in Medieval Panel Painting. In P. Machado, C. Johnson, & I. Santos, editors, Artificial Intelligence in Music, Sound, Art and Design, volume 15611, pages 34–50. Springer Nature Switzerland, Cham. ISBN 978-3-031-90166-9 978-3-031-90167-6. Series Title: Lecture Notes in Computer Science [ DOI | http ]
Brunner, F., Andric, P., & Maresca, F. (2025). An atomistic K -test framework for general grain boundaries and triclinic single crystals. Modelling and Simulation in Materials Science and Engineering, 33(3), 035004 [ DOI | http ]
Calabrese, A. & Association for Computational Linguistics, editors (2025). The 9th Workshop on Online Abuse and Harms (WOAH) - proceedings of the workshop: August 1, 2025: ACL 2025. Association for Computational Linguistics (ACL), Kerrville, TX. ISBN 979-8-89176-105-6. Meeting Name: Workshop on Online Abuse and Harms
Chen, J., Sardjan, A. S., De Roo, C. M., et al. (2025). Generation of [(N4Py)Fe(IV)═O]²⁺ through Heterolytic O–O Bond Cleavage in [(N4Py)Fe(II)(OOH)]⁺. Inorganic Chemistry, 64(19), 9408–9417 [ DOI | http ]
Chen Ye, C., Kreminska, Y., Ye, J., & Sławińska, J. (2025). First-principles studies of fermiology in topological phases of bulk ZrTe 5. Physical Review Materials, 9(5), 054204 [ DOI | http ]
Chik, H. Y. J., Sibma, A., Mannarelli, M.-E., et al. (2025). Heritability and age-dependent changes in genetic variation of telomere length in a wild house sparrow population. Evolution Letters, 9(2), 209–220 [ DOI | http ]
Chisausky, J., Daras, I. M., Weissing, F. J., & Kozielska, M. (2025). A neural network model for the evolution of reconstructive social learning. Scientific Reports, 15(1), 14977 [ DOI | http ]
Chu, H., De Vette, S. P., Neh, H., et al. (2025). Three-Dimensional Deep Learning Normal Tissue Complication Probability Model to Predict Late Xerostomia in Patients With Head and Neck Cancer. International Journal of Radiation OncologyBiologyPhysics, 121(1), 269–280 [ DOI | http ]
Chu, H., Ferreira, R. J., Lokhorst, C., et al. (2025). Predicting pulmonary hemodynamics in pediatric pulmonary arterial hypertension using cardiac magnetic resonance imaging and machine learning: an exploratory pilot study. The International Journal of Cardiovascular Imaging [ DOI | http ]
Claassen, B. (2025). Essays on Non-linear Dynamics in Macro-Finance:. Ph.D. thesis, University of Groningen [ DOI | http ]
Cortild, D., Delplancke, C., Oudjane, N., & Peypouquet, J. (2025). Global Optimization Algorithm through High-Resolution Sampling. Transactions on Machine Learning Research [ http ]
Cotteret, M., Greatorex, H., Renner, A., et al. (2025). Distributed representations enable robust multi-timescale symbolic computation in neuromorphic hardware. Neuromorphic Computing and Engineering, 5(1), 014008 [ DOI | http ]
Cui, J., Olthof, M., Hasselman, F., & Lichtwarck-Aschoff, A. (2025). Examining the research methods of early warning signals in clinical psychology through a theoretical lens. BMC Psychiatry, 25(1), 261 [ DOI | http ]
De Biase, A., Sijtsema, N. M., Van Dijk, L. V., et al. (2025). Uncertainty-aware deep learning for segmentation of primary tumor and pathologic lymph nodes in oropharyngeal cancer: Insights from a multi-center cohort. Computerized Medical Imaging and Graphics, 123, 102535 [ DOI | http ]
De Graaff, R., Margalef-Bentabol, B., Wang, L., et al. (2025). Classifying merger stages with adaptive deep learning and cosmological hydrodynamical simulations. Astronomy & Astrophysics, 697, A207 [ DOI | http ]
Dekker, M., De Vries, H. W., Wortelboer, K. A., et al. (2025). Kap-centric Nsp1-mediated nuclear transport at full amino acid resolution. Nature Communications, 16(1), 11497 [ DOI | http ]
Dekker, M., Van Der Klok, M. L., Van Der Giessen, E., & Onck, P. R. (2025). A Coarse-Grained MD Model for Disorder-To-Order Transitions in PolyQ Aggregation. Journal of Chemical Theory and Computation, 21(19), 9657–9668 [ DOI | http ]
DelaO-Arevalo, L. R., Sijtsema, N. M., Van Dijk, L. V., et al. (2025). “AI tumor delineation for all breathing phases in early-stage NSCLC”. Radiotherapy and Oncology, 211, 111095 [ DOI | http ]
Di Berto Mancini, M., De Roo, C. M., Sardjan, A. S., et al. (2025). A Transient, Highly Reactive Fe(IV)═O Species Revealed Through the Interference by O₂ in the Activation of Organic Peracids by [(N4Py)Fe(II)]²⁺. ACS Catalysis, 15(9), 7482–7495 [ DOI | http ]
Dimastrogiovanni, E., Fasiello, M., Michelotti, M., & Özsoy, O. (2025). A universal constraint on axion non-Abelian dynamics during inflation. Journal of Cosmology and Astroparticle Physics, 2025(03), 007 [ DOI | http ]
Driver, M. D. & Onck, P. R. (2025). Selective phase separation of transcription factors is driven by orthogonal molecular grammar. Nature Communications, 16(1), 3087 [ DOI | http ]
Duijnstee, D. R., Di Berto Mancini, M., De Roo, C. M., et al. (2025). Ligand driven heterolytic O–O bond cleavage in a non-haem phenolato-Fe( span style="font-variant:small-caps;"iii/span )–OOH complex to yield a formal Fe( span style="font-variant:small-caps;"v/span )O intermediate. Dalton Transactions, 54(38), 14566–14577 [ DOI | http ]
Duijnstee, D. R., Tromp, M., Browne, W. R., & Staykov, A. (2025). Mobility of thiolates on Au(111) surfaces. Physical Chemistry Chemical Physics, 27(9), 4892–4904 [ DOI | http ]
Erven, J. A. M., Mattiangeli, V., Dreshaj, M., et al. (2025). Archaeogenomic insights into commensalism and regional variation in pig management in Neolithic northwest Europe. Proceedings of the National Academy of Sciences, 122(12), e2410235122 [ DOI | http ]
Espinoza Cangahuala, M. K., Krishnaswamy, S. R., Kuevda, A. V., Pshenichnikov, M. S., & Jansen, T. L. C. (2025). The first step of cyanine dye self-assembly: Dimerization. The Journal of Chemical Physics, 162(5), 054311 [ DOI | http ]
Fellert, M., Hein, R., Ryabchun, A., et al. (2025). A Multiresponsive Ferrocene‐Based Chiral Overcrowded Alkene Twisting Liquid Crystals. Angewandte Chemie International Edition, 64(1), e202413047 [ DOI | http ]
Ferrao, J. L., Mikaelson, L., Pepper, K., & Perez-Campanero, N. (2025). Self-Ablating Transformers: More Interpretability, Less Sparsity. In ICLR 2025 Workshop on Building Trust in Language Models and Applications [ http ]
Gadirov, H., Wu, Q., Bauer, D., et al. (2025). HyperFLINT: Hypernetwork‐based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization. Computer Graphics Forum, 44(3), e70134 [ DOI | http ]
Gijsenberg, M. J., Bijmolt, T. H., & Hirche, C. F. (2025). Promoting product returns? The impact of at-purchase and post-purchase discounts on customers’ return behavior. Journal of Retailing, 101(3), 473–492 [ DOI | http ]
Gisbert, Y., Ovalle, M., Stindt, C. N., Costil, R., & Feringa, B. L. (2025). Coupling Rotary Motion to Helicene Inversion within a Molecular Motor. Angewandte Chemie International Edition, 64(4), e202416097 [ DOI | http ]
Gulyaeva, A., Liu, L., Garmaeva, S., et al. (2025). Identification and characterization of Faecalibacterium prophages rich in diversity-generating retroelements. Microbiology Spectrum, 13(2), e01066–24 [ DOI | http ]
Gürel, U., Gjerapic, I. A., Arends, W. J. H., et al. (2025). Characterizing the Structural Conformation of Highly Charged Star-Linear Polyelectrolyte Mixtures in Solution. Macromolecules, 58(19), 10464–10474 [ DOI | http ]
Gürel, U., Leenstra, T., & Giuntoli, A. (2025). Machine learning of the anomalous diffusion of branched polymers in crosslinked networks. Soft Matter, 21(41), 7984–7995 [ DOI | http ]
Happe, A., Meijer, K. J., Dajka, J., et al. (2025). Synthesis of Population Trends Reveals Seascape‐Wide Reorganisation of Biodiversity From Microalgae to Birds. Global Change Biology, 31(6), e70298 [ DOI | http ]
Heester, S., Ventosinos, F., Gil-Escrig, L., et al. (2025). Drift-diffusion modeling of perovskite solar cells: A systematic approach. APL Energy, 3(3), 036106 [ DOI | http ]
Hein, R., Gisbert, Y., & Feringa, B. L. (2025). Multi-State Redox and Light-Driven Switching of Pseudorotaxanation and Cation Shuttling. Journal of the American Chemical Society, 147(16), 13649–13657 [ DOI | http ]
Hein, R., Sidler, E., Gisbert, Y., & Feringa, B. L. (2025). Chiral Induction and Memory via Supramolecular Deracemization. Angewandte Chemie International Edition, 64(38), e202510584 [ DOI | http ]
Horvathova, L., Kinderman, P., Janzen, T., et al. (2025). Alphavirus replicons encoding IFN-γ enhance cancer virotherapy by overcoming macrophage-mediated suppression. iScience, 28(10), 113545 [ DOI | http ]
Huitema, I. R., Oskooei, A. R., Aktaş, M. S., & Riveni, M. (2025). Investigating Echo-Chambers in Decentralized Social Networks: A Mastodon Case Study. In H. Cherifi, M. Donduran, L. M. Rocha, C. Cherifi, & O. Varol, editors, Complex Networks & Their Applications XIII, volume 1188, pages 316–328. Springer Nature Switzerland, Cham. ISBN 978-3-031-82430-2 978-3-031-82431-9. Series Title: Studies in Computational Intelligence [ DOI | http ]
Jacobs, P. F. & Pollice, R. (2025). Developing large language models for quantum chemistry simulation input generation. Digital Discovery, 4(3), 762–775 [ DOI | http ]
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2024

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2018

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2017

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Wezenberg, S. J., Vlatković, M., Kistemaker, J. C., & Feringa, B. L. (2014). Multi-state regulation of the dihydrogen phosphate binding affinity to a light- and heat-responsive bis-urea receptor. Journal of the American Chemical Society, 136(48), 16784–16787 [ DOI | http ]

2013

Codd, V., Nelson, C. P., Albrecht, E., et al. (2013). Identification of seven loci affecting mean telomere length and their association with disease. Nature Genetics, 45(4), 422–427 [ DOI | http ]
Cvejic, A., Haer-Wigman, L., Stephens, J. C., et al. (2013). SMIM1 underlies the Vel blood group and influences red blood cell traits. Nature Genetics, 45(5), 542–545 [ DOI | http ]
Demetrescu, M. & Hanck, C. (2013). Nonlinear IV panel unit root testing under structural breaks in the error variance. Statistical Papers, 54(4), 1043–1066 [ DOI | http ]
Markov, V., Kriksin, Y., Erukhimovich, I., & Ten Brinke, G. (2013). Perpendicular lamellar-in-lamellar and other planar morphologies in A-b-(B-b-A)2-b-C and (B-b-A)2-b-C ternary multiblock copolymer melts. Journal of Chemical Physics, 139(8), 084906 [ DOI | http ]
Pijper, T. C., Kudernac, T., Browne, W. R., & Feringa, B. L. (2013). Effect of immobilization on gold on the temperature dependence of photochromic switching of dithienylethenes. Journal of Physical Chemistry C, 117(34), 17623–17632 [ DOI | http ]
Surinta, O., Schomaker, L., & Wiering, M. (2013). A comparison of feature and pixel-based methods for recognizing handwritten bangla digits. In Proceedings of the International Conference on Document Analysis and Recognition, ICDAR, pages 165–169. IEEE. ISBN 978-0-7695-4999-6 [ DOI | http ]
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2012

Asselbergs, F. W., Guo, Y., Van Iperen, E. P., et al. (2012). Large-scale gene-centric meta-analysis across 32 studies identifies multiple lipid loci. American Journal of Human Genetics, 91(5), 823–838 [ DOI | http ]
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Erukhimovich, I., Kriksin, Y., & Ten Brinke, G. (2012). The diamond and other non-conventional morphologies in two-scale multiblock AB copolymers. Soft Matter, 8(7), 2159–2169 [ DOI | http ]
Kathiresan, S. & Srivastava, D. (2012). Genetics of human cardiovascular disease. Ph.D. thesis, University of Groningen. Publication Title: Cell Volume: 148 Issue: 6 [ DOI ]
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Saxena, R., Elbers, C. C., Guo, Y., et al. (2012). Large-scale gene-centric meta-analysis across 39 studies identifies type 2 diabetes loci. American Journal of Human Genetics, 90(3), 410–425 [ DOI | http ]
Scott, R. A., Lagou, V., Welch, R. P., et al. (2012). Large-scale association analyses identify new loci influencing glycemic traits and provide insight into the underlying biological pathways. Nature Genetics, 44(9), 991–1005 [ DOI | http ]
Van Der Harst, P., Zhang, W., Mateo Leach, I., et al. (2012). Seventy-five genetic loci influencing the human red blood cell. Nature, 492(7429), 369–375 [ DOI | http ]
Yang, J., Loos, R. J., Powell, J. E., et al. (2012). FTO genotype is associated with phenotypic variability of body mass index. Nature, 490(7419), 267–273 [ DOI | http ]