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Mario Gaimann

PhD Researcher
Many-Body Simulations and Machine Learning Group

Contact

+49 711 685 60104
Website

Universitätsstraße 32
70569 Stuttgart
Germany
Room: 146

  1. 2025

    1. Gaimann, M. U., & Klopotek, M. (2025). Optimal information injection and transfer mechanisms for active matter reservoir computing. arXiv. https://doi.org/10.48550/ARXIV.2509.01799
    2. Gaimann, M. U., & Klopotek, M. (2025). Robustly optimal dynamics for active matter reservoir computing. arXiv. https://doi.org/10.48550/ARXIV.2505.05420

  2. 2020

    1. N, V.-A., RD, B., R, S., CR, W., D, B., MU, G., A, B., J, H., DM, S., & AS, S. (2020). Structural characterization of an ionic liquid in bulk and in nano-confined environment using data from MD simulations. Data in Brief. https://doi.org/10.1016/j.dib.2019.104794
    2. Gaimann, M. U., Nguyen, M., Desponds, J., & Mayer, A. (2020). Early life imprints the hierarchy of T cell clone sizes. eLife, 9. https://doi.org/10.7554/elife.61639

  3. 2019

    1. N, V.-A., RD, B., R, S., CR, W., D, B., MU, G., A, B., J, H., DM, S., & AS, S. (2019). Insights from molecular dynamics simulations on structural organization and diffusive dynamics of an ionic liquid at solid and vacuum interfaces. Journal of Colloid and Interface Science. https://doi.org/10.1016/j.jcis.2019.06.017
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