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Michael Moeckel

Observed names: M Moeckel, M. Moeckel, Michael J Moeckel, Michael J. Moeckel, Michael Möckel, Moeckel, Michael
ORCID: 0000-0002-6220-8718
Observed ORCID: 0000-0002-6220-8718
OpenAlex ID: A5061528602
Interaction Quench in the Hubbard Model
2008 · Michael Moeckel, Stefan Kehrein · Physical Review Letters · 474
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Real-time evolution for weak interaction quenches in quantum systems
2009 · Michael Moeckel, Stefan Kehrein · Annals of Physics · 145
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Crossover from adiabatic to sudden interaction quenches in the Hubbard model: prethermalization and non-equilibrium dynamics
2010 · Michael Moeckel, Stefan Kehrein · New Journal of Physics · 124
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New theoretical approaches for correlated systems in nonequilibrium
2009 · M. Eckstein, A. Hackl, et al. · The European Physical Journal Special Topics · 64
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Ontology‐Based Battery Production Dataspace and Its Interweaving with Artificial Intelligence‐Empowered Data Analytics
2024 · Simon P. Stier, Xukuan Xu, et al. · Energy Technology · 24
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AutoML based workflow for design of experiments (DOE) selection and benchmarking data acquisition strategies with simulation models
2024 · Xukuan Xu, Donghui Li, et al. · Scientific Reports · 16
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Increased relative density and characteristic melt pool Signals at the edge in PBF-LB/M
2022 · Jorrit Voigt, Thomas Bock, et al. · Additive manufacturing · 9
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Modelling dynamic 3D heat transfer in laser material processing based on physics informed neural networks
2022 · Jorrit Voigt, Michael Moeckel · EPJ Web of Conferences · 8
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Multiclass classification of Autism Spectrum Disorder, attention deficit hyperactivity disorder, and typically developed individuals using fMRI functional connectivity analysis
2024 · Caroline Lourenco Alves, Tiago Martinelli, et al. · PLoS ONE · 7
Synchronizing a single-electron shuttle to an external drive
2014 · Michael J Moeckel, Darren R Southworth, et al. · New Journal of Physics · 7
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Benchmarking a Multi-Layer Approach and Neural Network Architectures for Defect Detection in Pbf-Lb/M
2022 · Jorrit Voigt, Michael Moeckel · Materials Today Communications · 6
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Deploying Virtual Quality Gates in a Pilot-Scale Lithium-Ion Battery Assembly Line
2025 · Xukuan Xu, Simon Stier, et al. · Batteries · 3
Harnessing multi-output machine learning approach and dynamical observables from network structure to optimize COVID-19 intervention strategies
2025 · Caroline L Alves, Katharina Kuhnert, et al. · Biology Methods and Protocols · 3
Analysis of quantile graphs in EGC data from elderly and young individuals using machine learning and deep learning
2023 · Aruane M Pineda, Caroline L Alves, et al. · Journal of Complex Networks · 3
COVID-19 scenarios for comparing the effectiveness of age-specific vaccination regimes, exemplified for the city of Aschaffenburg (Germany)
2021 · Tobias Krebs, Holger von Jouanne-Diedrich, et al. · medRxiv · 3
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Dynamical patterns of EEG connectivity unveil Parkinson’s disease progression: insights from machine learning analysis
2025 · Caroline L Alves, Loriz Francisco Sallum, et al. · Journal of Physics Complexity · 2
Redefining Autism Subtypes: a machine learning approach leveraging topological data analysis, network measures and hemispheric lateralization
2025 · Caroline L. Alves, Loriz Francisco Sallum, et al. · medRxiv · 2
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Decoding Dystonia: unveiling neural patterns with interpretable EEG-Based Machine Learning
2025 · Caroline Alves, Artur José Marques Paulo, et al. · Research Square · 1
Quantitative Assessment of Data Volume Requirements for Reliable Machine Learning Analysis
2025 · Xukuan Xu, Jinghou Bi, et al. · IEEE Access · 1
Partial lockdown on unvaccinated individuals promises breaking of fourth COVID-19 wave in Bavaria
2021 · Tobias Krebs, Michael J. Moeckel · medRxiv · 1
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From agent-based simulations of disease dynamics to expert support on public health interventions
2024 · M Moeckel · European Journal of Public Health
Machine Learning Based Early Rejection of Low Performance Cells in Li Ion Battery Production
2024 · Xukuan Xu, Michael J. Moeckel · Asia Conference on Algorithms, Computing and Machine Learning (CACML)
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Hybrid Physics-Inspired Machine Learning Framework for Predictive Maintenance of Forklift Chains: Leveraging Sensor Data Characteristics
2023 · Osman Akcatepe, Michael Moeckel · International Conference on Control, Mechatronics and Automation (ICCMA)
Comparing Principal Component Analysis (PCA) and -Variational Autoencoder (ß-VAE) for Anomaly Detection in Selective Laser Melting (SLM) Process Data
2021 · J. Voigt, M. Moeckel · WCCM-ECCOMAS Congress
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Comparing new approaches for the real and imaginary time evolution of the Hubbard model
2013 · Michael Moeckel · Bulletin of the American Physical Society
Works count: 27
Citation count: 903
H-index: 8
I10-index: 6
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