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Johannes Brandstetter

Assoz.-Prof., DI Dr.

  • Institute for Machine Learning
  • LIT Artificial Intelligence Lab
  • Emailjohannes.brandstetterjkuat
  • Overview
  • Network
  • Research output (57)
  • Projects (5)
  • Activities (7)
  • Supervised Work (1)

Research output

  • 26 Conference proceedings
  • 23 Preprint
  • 7 Article
  • 1 Poster

Research output per year

Research output per year

  • 5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence

    Galletti, G., Paischer, F., Setinek, P., Hornsby, W., Zanisi, L., Carey, N., Pamela, S. & Brandstetter, J., 11 Feb 2025, 13 p.

    Research output: Working paper and reports › Preprint

    Open Access
  • Ab-upt: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers: Deep Learning on High-Fidelity Automotive Aerodynamics Simulations

    Alkin, B., Bleeker, M., Kurle, R., Kronlachner, T., Sonnleitner, R., Dorfer, M. & Brandstetter, J., 13 Feb 2025, 43 p. (arXiv.org; no. 2502.09692).

    Research output: Working paper and reports › Preprint

    Open Access
  • A foundation model for the Earth system

    Bodnar, C., Bruinsma, W. P., Lucic, A., Stanley, M., Allen, A., Brandstetter, J., Garvan, P., Riechert, M., Weyn, J. A., Dong, H., Gupta, J. K., Thambiratnam, K., Archibald, A. T., Wu, C.-C., Heider, E., Welling, M., Turner, R. E. & Perdikaris, P., 21 May 2025, In: Nature. 641, 8065, p. 1180-1187 8 p., 190.

    Research output: Contribution to journal › Article › peer-review

    Open Access
  • Data efficiency and long-term prediction capabilities for neural operator surrogate models of edge plasma simulations

    Carey, N., Zanisi, L., Pamela, S., Gopakumar, V., Omotani, J., Buchanan, J., Brandstetter, J., Paischer, F., Galletti, G. & Setinek, P., 24 Feb 2025, 48 p.

    Research output: Working paper and reports › Preprint

    Open Access
  • Einstein Fields: A Neural Perspective To Computational General Relativity

    Cranganore, S. S., Bodnar, A., Berzins, A. & Brandstetter, J., 15 Jul 2025, 63 p. (arXiv.org; no. 2507.11589).

    Research output: Working paper and reports › Preprint

    Open Access
View all 57 research outputs

Projects

  • 2 Finished
  • 3 Active

Projects per year

  • Fast, efficient and flexible CFD simulation through generative AI

    Hochreiter, S. (Researcher) & Brandstetter, J. (Researcher)

    01.04.2025 → 31.03.2026

    Project: Funded research › FFG - Austrian Research Promotion Agency

  • AlKa-DL: Alpine karst spring discharge prediction

    Brandstetter, J. (PI)

    01.10.2024 → 30.09.2027

    Project: Funded research › FWF - Austrian Science Fund

  • Cluster of Excellence "Bilateral Artificial Intelligence"

    Fürnkranz, J. (PI), Hochreiter, S. (PI), Klambauer, G. (PI), Schedl, M. (PI), Seidl, M. (PI), Widmer, G. (PI), Brandstetter, J. (PI), Kobler, E. (PI), Aichernig, B. (PI), Heisinger, M. (Researcher), Hoedt, P.-J. (Researcher), Pfeiffer, P. (Researcher), Plank, A. (Researcher), Radler, A. (Researcher), Rebola Pardo, A. (Researcher), Lin, W. (Researcher), Eckert, H. (Researcher), Cranganore, S. S. (Researcher), Hartl, A.-R. (Researcher), Plasser, M. (Researcher), Pammer, T. (Researcher), Tommasel, A. (Researcher), Nawaz, S. (Researcher), Masoudian, S. (Researcher) & Freinschlag, R. (Researcher)

    01.10.2024 → 30.09.2029

    Project: Funded research › FWF - Austrian Science Fund

  • DEEP FLOOD - Assessing Hydrological Extremes via Deep Learning

    Brandstetter, J. (PI)

    01.01.2021 → 31.12.2022

    Project: Funded research › Federal / regional / local authorities

  • B1: Physics-informed deep learning models for the simulation of granular flow

    Hochreiter, S. (Researcher) & Brandstetter, J. (PI)

    01.02.2019 → 31.01.2022

    Project: Funded research › FFG - Austrian Research Promotion Agency

Activities

  • 3 Invited talk
  • 2 Contributed talk
  • 1 Outgoing (legacy data)
  • 1 Poster presentation

Activities per year

  • Closing the Gap Between Scientific Foundation Models and Real-World Applications

    Brandstetter, J. (Speaker)

    03 Mar 2025

    Activity: Talk or presentation › Invited talk › science-to-science

  • Scientific Machine Learning for Science and Engineering

    Brandstetter, J. (Speaker)

    11 Feb 2025

    Activity: Talk or presentation › Invited talk › science-to-science

  • Closing the Gap Between Scientific Foundation Models and Real World Applications

    Brandstetter, J. (Keynote speaker)

    15 Dec 2024

    Activity: Talk or presentation › Invited talk › science-to-science

  • xLSTM: Extended Long Short-Term Memory

    Beck, M. (Speaker), Pöppel, K. (Speaker), Spanring, M. (Speaker), Auer, A. (Speaker), Prudnikova, O. (Speaker), Kopp, M. (Speaker), Klambauer, G. (Speaker), Brandstetter, J. (Speaker) & Hochreiter, S. (Speaker)

    26 Jul 2024

    Activity: Talk or presentation › Poster presentation › science-to-science

  • Unique Research Opportunities in AI Algorithms, Health, Traffic, and Weather

    Brandstetter, J. (Speaker), Hochreiter, S. (Speaker), Kopp, M. (Speaker), Kreil, D. (Speaker) & Mihai, A. (Speaker)

    18 Jul 2021

    Activity: Talk or presentation › Contributed talk › science-to-science

View all 7 activities
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