Publications

Publications are in reversed chronological order.

  • 2025
  • PNAS Hydrogen cyanide and hydrocarbons mix on Titan,
    F. Izquierdo-Ruiz, M. L. Cable, R. Hodyss, T. H. Vu, H. Sandström, A. Lobato, & M. Rahm, Proc. Natl. Acad. Sci. U.S.A., 122, e2507522122, 2025.
    Developed and tested crystal structure prediction program workflow for molecular cocrystals of hydrogen cyanide.
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  • ACS ES&T Air Traffic-emitted amines promote new particle formation at roadsides,
    J. Brean, F. Bortolussi, A. Rowell, D. C. S. Beddows, K. Weinhold, P. Mettke, M. Merkel, A. Kumar, S. Barua, S. Iyer, A. Karppinen, H. Sandström, P. Rinke, A. Wiedensohler, M. Pöhlker, M. Dal Maso, M. Rissanen, Z. Shi, & R. M. Harrison, ACS ES&T Air, 2, 1704–1713, 2025.
    Supervised PhD student F. Bortolussi in developing and evaluating the machine learning model.
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  • GMD Similarity-based analysis of atmospheric organic compounds for machine learning applications,
    H. Sandström, P. Rinke, Geoscientific Model Development, 18, 2701–2724, 2025.
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  • Astrobiology Membrane-spanning molecular lengths as an agnostic biosignature,
    M. J. Malaska, H. Sandström, A. E. Hofmann, R. Hodyss, L. Rensmo, M. van der Meulen, M. Rahm, M. L. Cable, & J. I. Lunine, Astrobiology, 25, 367–389, 2025.
    Performed high-throughput quantum chemistry calculations to compute molecular lengths. Co-supervised L. Rensmo and M. van der Meulen.
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  • ACP Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning,
    F. Bortolussi, H. Sandström, F. Partovi, J. Mikkilä, P. Rinke, & M. Rissanen, Atmospheric Chemistry and Physics, 25, 685–704, 2025.
    Contributed to method development and data analysis for chemical ionization mass spectrometry with machine learning.
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  • PCCP Predicting intersystem crossing rate constants of alkoxy-radical pairs with structure-based descriptors and machine learning,
    R. R. Valiev, R. T. Nasibullin, H. Sandström, P. Rinke, K. Puolamäki, & T. Kurten, Physical Chemistry Chemical Physics, 27, 14804–14814, 2025.
    I acted as co-advisor for the machine learning workflow and developed the MBTR model for comparison.
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  • 2024
  • ACSESC A thermodynamic landscape of hydrogen cyanide-derived molecules and polymers,
    H. Sandström, F. Izquierdo-Ruiz, M. Cappelletti, R. Dogan, S. Sharma, C. Bailey, & M. Rahm, ACS Earth and Space Chemistry, 8, 1272–1280, 2024.
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  • Adv. Sci. Data-driven compound identification in atmospheric mass spectrometry,
    H. Sandström, M. Rissanen, J. Rousu, P. Rinke, Advanced Science, 11, 2306235, 2024.
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  • 2023
  • JPCA Crossroads at the origin of prebiotic chemical complexity: hydrogen cyanide product diversification,
    H. Sandström, M. Rahm, The Journal of Physical Chemistry A, 127, 4503–4510, 2023.
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  • 2022
  • PhD ThesisNitriles in prebiotic chemistry and astrobiology,
    H. Sandström, Chalmers University of Technology, ISBN: 978-91-7905-652-0, 2022. Full text (PDF)
  • 2021
  • ACSESC The beginning of HCN polymerization: Iminoacetonitrile formation and its implications in astrochemical environments,
    H. Sandström, M. Rahm, ACS Earth and Space Chemistry, 5, 2152–2159, 2021.
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  • 2020
  • Sci. Adv. Can polarity-inverted membranes self-assemble on Titan?,
    H. Sandström, M. Rahm, Science Advances, 6, eaax0272, 2020.
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  • 2019
  • DMID Interspecies plasmid transfer appears rare in sequential infections with extended-spectrum β-lactamase (ESBL)-producing Enterobacteriaceae,
    A. Lindblom, K. K. Sriram, V. Müller, R. Öz, H. Sandström, C. Åhrén, F. Westerlund, & N. Karami, Diagnostic Microbiology and Infectious Disease, 93, 380–385, 2019.
    I performed fluorescence microscopy assays where I stained, trapped, and photographed plasmids in nanochannels.
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