Michael Moeckel

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ORCID

Inclusion identifies researchers whose recorded research contributions may inform their university’s understanding of its research community. It does not rank individual research quality or establish current employment.

Selected research works

Up to 100 highly cited works; DOI links open the original research. Counts reflect the collected record, not real-time citation totals.

1. Interaction Quench in the Hubbard Model

   2008 · 467 citations

2. Crossover from adiabatic to sudden interaction quenches in the Hubbard model: prethermalization and non-equilibrium dynamics

   2010 · 120 citations

3. Real-time evolution for weak interaction quenches in quantum systems

   2009 · 118 citations

4. New theoretical approaches for correlated systems in nonequilibrium

   2009 · 59 citations

5. Ontology‐Based Battery Production Dataspace and Its Interweaving with Artificial Intelligence‐Empowered Data Analytics

   2024 · 22 citations

6. AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models

   2024 · 12 citations

7. Increased relative density and characteristic melt pool Signals at the edge in PBF-LB/M

   2022 · 9 citations

8. Synchronizing a single-electron shuttle to an external drive

   2014 · 7 citations

9. Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis

   2024 · 7 citations

10. Benchmarking a Multi-Layer Approach and Neural Network Architectures for Defect Detection in Pbf-Lb/M

    2022 · 6 citations

11. Modelling dynamic 3D heat transfer in laser material processing based on physics informed neural networks

    2022 · 6 citations

12. COVID-19 scenarios for comparing the effectiveness of age-specific vaccination regimes, exemplified for the city of Aschaffenburg (Germany)

    2021 · 3 citations

13. Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning

    2023 · 2 citations

14. Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies

    2025 · 2 citations

15. Deploying Virtual Quality Gates in a Pilot-Scale Lithium-Ion Battery Assembly Line

    2025 · 2 citations

16. Partial lockdown on unvaccinated individuals promises breaking of fourth COVID-19 wave in Bavaria

    2021 · 1 citations

17. Temporal Patterns of EEG Connectivity Unveil Parkinson's Disease Progression: Insights from Machine Learning Analysis

    2024 · 1 citations

18. Redefining Autism Subtypes: a machine learning approach leveraging topological data analysis, network measures and hemispheric lateralization

    2025 · 1 citations

19. Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis

    2025 · 1 citations

20. Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis

    2025 · 1 citations

21. Decoding Dystonia: unveiling neural patterns with interpretable EEG-Based Machine Learning

    2025 · 1 citations

22. Beyond Landau Adiabacity: Weak Interaction Quenches in a Fermi Gas

    2011 · 0 citations

23. Exploiting the nonlinear impact dynamics of a single-electron shuttle for highly regular current transport

    2013 · 0 citations

24. Comparing new approaches for the real and imaginary time evolution of the Hubbard model

    2013 · 0 citations

25. Comparing Principal Component Analysis (PCA) and -Variational Autoencoder (ß-VAE) for Anomaly Detection in Selective Laser Melting (SLM) Process Data

    2021 · 0 citations

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