Skip to main content

Publikationen

  1. Mara Schilling-Wilhelmi, Martino Rıos-Garcıa Marıa Victoria Gil, Santiago Miret, Sherjeel Shabih, Christoph T. Koch, Jose A. Marquez, Kevin Maik Jablonka
    From Text to Insight: Large Language Models for Materials Science Data Extraction
    https://arxiv.org/abs/2407.16867 2024 (doi:10.48550/arXiv.2407.16867)
  2. Ilya Anufriev, Jonas Debbeler, Anja Traeger, Ivo Nischang
    Analysis of Macromolecular Systems as Enabler for Energy and Life Science Applications
    Macromolecular Chemistry and Physics 2024 (doi:10.1002/macp.202400055)
  3. Xiaoqi Zhang, Kevin Maik Jablonka, and Berend Smit
    Deep Learning-Based Recommendation System for Metal-Organic Frameworks (MOFs)
    Digital Discovery 2024 (doi: 10.1039/D4DD00116H)
  4. Bin Wu, Faidra Amargianou, Jan-David Förster, Christopher Pöhlker, Thomas Guy Rauch, Deniz Wong, Christian Schulz, Robert Seidel, Markus Weigand, Martin Oschatz, Tristan Petit
    Water Confinement in Nitrogen-Rich Nanoporous Carbon Materials Revealed by In Situ Scanning Transmission X-Ray Microscopy
    Advanced Functional Materials 2024 (doi: 10.1002/adfm.202406528)
  5. Anupam Bera, Ratnadip De, Heiner Schmidt, Desirée Leistenschneider, Turkan Gamze Ulusoy Ghobadi, Martin Oschatz, Ferdi Karadaş, Benjamin Dietzek-Ivanšić
    Probing the Interfacial Molecular Structure of a Co-Prussian Blue In Situ
    Advanced Materials Interfaces 2024 (doi: 10.1002/admi.202400009)
  6. Sofiia Prykhodska, Konstantin Schutjajew, Erik Troschkea, Leonid Kaberov, Jonas Eichhorn, Felix H. Schacher, Francesco Walenszusf, Daniel Wernerg and Martin Oschatz
    The impact of templating and macropores in hard carbons on their properties as negative electrode materials in sodium-ion batteries
    Energy Advances 2024 (doi: 10.1039/D4YA00129J)
  7. Afshin Nabiyan, Christof Neumann, Andrey Turchanin, Felix H. Schacher
    Hybrid Nanoreactors formed by Interpolyelectrolyte Complex Formation: A Colloidal Platform for Light‐Driven Catalysis
    Journal of Materials Chemistry A 2024 (doi: 10.1039/D4TA01824A)
  8. Mira Behnke, Antje Vollrath, Philipp Dahlke, Francisco Páez Larios, Mingzhe Chi, Ekaterina Tsarenko, Paul M Jordan, Christine Weber, Michael Dirauf, Justyna Anna Czaplewska, Baerbel Beringer-Siemers, Steffi Stumpf, Carolin Kellner, Christian Kretzer, Stephanie Hoeppener, Ivo Nischang, Marek Sierka, Christian Eggeling, Oliver Werz, Ulrich S. Schubert
    PEtOxylated Polyesteramide Nanoparticles for the Delivery of Anti-inflammatory Drugs
    Materials Today Chemistry 2024, 35, 101848 (doi: 10.1016/j.mtchem.2023.101848)
  9. Jana Ismail, Lea Coralie Klepsch, Philipp Dahlke, Ekaterina Tsarenko, Antje Vollrath, David Pretzel, Paul Mike Jordan, Kourosh Rezaei, Justyna Anna Czaplewska, Steffi Stumpf, Baerbel Behringer-Siemers, Ivo Nischang, Stephanie Hoeppener, Oliver Werz, Ulrich S. Schubert
    PEG–Lipid–PLGA Hybrid Particles for Targeted Delivery of Anti-Inflammatory Drugs
    Pharmaceutics 2024, 11, 324 – 399 (doi: 10.3390/pharmaceutics16020187)
  10. Nora Engel, Michael Dirauf, Justyna A. Czaplewska, Ivo Nischang, Michael Gottschaldt, Ulrich S. Schubert
    Determination of ω-End Functionalities in Tailored Poly(2-alkyl-2-oxazoline)s by Liquid Chromatography and Mass Spectrometry
    Soc. Open Sci. 2024, 11, 231008 (doi: 10.1098/rsos.231008)
  11. Adrian Mirza, Nawaf Alampara, Sreekanth Kunchapu, Benedict Emoekabu, Aswanth Krishnan, Mara Wilhelmi, Macjonathan Okereke, Juliane Eberhardt, Amir Mohammad Elahi, Maximilian Greiner, Caroline T. Holick, Tanya Gupta, Mehrdad Asgari, Christina Glaubitz, Lea C. Klepsch, Yannik Köster, Jakob Meyer, Santiago Miret, Tim Hoffmann, Fabian Alexander Kreth, Michael Ringleb, Nicole Roesner, Ulrich S. Schubert, Leanne M. Stafast, Dinga Wonanke, Michael Pieler, Philippe Schwaller, Kevin Maik Jablonka
    Are large language models superhuman chemists?
    arXiv preprint arXiv:2404.01475 2024, (doi: 10.48550/arXiv.2404.01475)
  12. Kevin Maik Jablonka, Philippe Schwaller, Andres Ortega-Guerrero, Berend Smit
    Leveraging large language models for predictive chemistry
    Nature Machine Intelligence 2023, (doi: 10.1038/s42256-023-00788-1)