A. Mansour, C. Kaltenbach, und E. Laurien. High performance computing in science and engineering '16 : transactions of the High Performance Computing Center, Stuttgart (HLRS) 2016, Seite 511-528. Cham, Springer, (2016)
S. Joas, W. Essig, F. Fröhlich, und M. Kreutzbruck. Proceedings of the Europe/Africa Conference Dresden 2017 - Polymer Processing Society PPS, 2055, Seite 120003. Melville, New York, AIP Publishing, (2019)
M. Mikusz, D. Heber, C. Katzfuß, M. Monaumi, und T. Tauterat. Research and Innovation in Manufacturing : Key Enabling Technologies for the Factories of the Future - Proceedings of the 48th CIRP Conference on Manufacturing Systems, 41, Red Hook, NY, Curran, (2015)
M. Schneider, und M. Liewald. Proceedings of 21st International ESAFORM Conference on Material Forming (ESAFORM 2018), 1960, Seite 150012. Melville, NY, AIP Publishing, (2018)
A. Majee, M. Bier, R. Blossey, und R. Podgornik. Physical Review. E, Covering Statistical, Nonlinear, Biological, and Soft Matter Physics, 100 (5):
050601(2019)
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2022)Related to: David, Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2022)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2022. arXiv: 2203.09410.
D. Holzmüller, V. Zaverkin, J. Kästner, und I. Steinwart. Software, (2023)Related to: David Holzmüller, Viktor Zaverkin, Johannes Kästner, and Ingo Steinwart. A Framework and Benchmark for Deep Batch Active Learning for Regression, 2023. arXiv: 2203.09410.
S. Reuschen, T. Xu, und W. Nowak. Dataset, (2020)Related to: Reuschen, S., Xu, T., Nowak, W., 2020. Bayesian inversion of hierarchical geostatistical models using a parallel-tempering sequential Gibbs MCMC. Advances in Water Resources 141, 103614. doi: 10.1016/j.advwatres.2020.103614.
L. Scholz, und C. Bringedal. Dataset, (2021)Related to: Scholz, L., Bringedal, C. A Three-Dimensional Homogenization Approach for Effective Heat Transport in Thin Porous Media. Transp Porous Med (2022). doi: 10.1007/s11242-022-01746-y.
S. Schulz, C. Bringedal, und S. Ackermann. Dataset, (2021)Related to: SimTech Project work "Herleitung reduzierter Modelle einer Zweiphasenströmung zwischen parallelen Platten mit Slip-Bedingungen".
V. Zaverkin, D. Holzmüller, I. Steinwart, und J. Kästner. Software, (2021)Related to: V. Zaverkin, D. Holzmüller, I. Steinwart, and J. Kästner, “Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments,” J. Chem. Theory Comput. 17, 6658–6670 (2021). doi: 10.1021/acs.jctc.1c00527.
L. Keim, H. Class, L. Schirmer, B. Strauch, K. Wendel, und M. Zimmer. Dataset, (2023)Related to: Class, H.; Keim, L.; Schirmer, L.; Strauch, B.; Wendel, K.; Zimmer, M. Seasonal Dynamics of Gaseous CO2 Concentrations in a Karst Cave Correspond with Aqueous Concentrations in a Stagnant Water Column. Geosciences 2023, 13, 51. doi: 10.3390/geosciences13020051.
L. Kloker, und C. Bringedal. Dataset, (2022)Related to: Leon H. Kloker and Carina Bringedal, Solution approaches for evaporation-driven density instabilities in a slab of saturated porous media, Physics of Fluids 34, 096606 (2022). doi: 10.1063/5.0110129.
H. Hsueh. Dataset, (2021)Related to: Han-Fang Hsueh, Anneli Guthke, Thomas Wöhling, Wolfgang Nowak: Diagnosis of model-structural errors with a sliding time-window Bayesian analysis. In: Water Resource Research (submitted). arXiv: 2107.09399.
H. Dobbertin, R. Löw, und S. Scheel. Physical review. A, covering atomic, molecular, and optical physics and quantum information, 102 (3):
031701(2020)
N. Rodrigues, F. Dennig, V. Brandt, D. Keim, und D. Weiskopf. Software, (2024)Related to: Rodrigues, N., Dennig, F. L., Brandt, V., Keim, D. A., & Weiskopf, D. (2024). Comparative Evaluation of Animated Scatter Plot Transitions. arXiv preprint. arXiv: 2401.04692.