C. Beschle, and A. Barth. Software, (2022)Related to: Hägele, David, Schulz, Christoph, Beschle, Cedric, Booth, Hannah, Butt, Miriam, Barth, Andrea, Deussen, Oliver, & Weiskopf, Daniel (2022). Uncertainty visualization: Fundamentals and recent developments. it - Information Technology 64(4-5), 121-132. doi: 10.1515/itit-2022-0033.
T. Krake, and M. Scheven. Software, (2022)Related to: Tim Krake, Malte von Scheven, Jan Gade, Moataz Abdelaal, Daniel Weiskopf,and Manfred Bischoff: "Efficient Update of Redundancy Matrices for Truss andFrame Structures", Journal of Theoretical, Computational and Applied Mechanics, November 11, 2022. doi: 10.46298/jtcam.9615.
D. Hägele, T. Krake, and D. Weiskopf. Dataset, (2022)Related to: D. Hägele, T. Krake and D. Weiskopf, Üncertainty-Aware Multidimensional Scaling," in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209420.
J. Hommel, and F. Weinhardt. Dataset, (2022)Related to: Hommel, J.; Gehring, L., Weinhardt, F., Ruf, M. & Steeb, H. (2022). Effects of enzymatically induced carbonate precipitation on capillary pressure-saturation relations. Minerals, 12(10), 1186. doi: 10.3390/min12101186.
J. Hommel, and L. Gehring. Dataset, (2022)Related to: Hommel, J., Gehring, L., Weinhardt, F., Ruf, M., & Steeb, H. (2022). Effects of enzymatically induced carbonate precipitation on capillary pressure-saturation relations. Minerals, 12(10), 1186. doi: 10.3390/min12101186.
J. Wörner, D. Brovkina, and O. Riedel. 2021 21st International Conference on Control, Automation and Systems (ICCAS), page 629-635. Piscataway, IEEE, (2021)
B. Annighöfer, M. Brunner, B. Lüttig, and J. Schöpf. 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C), page 483-492. Piscataway, IEEE, (2021)
I. Banerjee, and P. Walter. Dataset, (2022)Related to: Banerjee, I., Walter, P., Guthke, A., Mumford, K.G. & Nowak, W. (2022). The Method of Forced Probabilities: A Computation Trick for Bayesian Model Evidence. Computational Geosciences. Accepted for publication.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: D’Errico, G., Ortona, O., Capuano, F., & Vitagliano, V. (2004). Diffusion Coefficients for the Binary System Glycerol + Water at 25 °C. A Velocity Correlation Study. Journal of Chemical & Engineering Data, 49(6), 1665-1670. doi: 10.1021/je049917u.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Segur, J. B., & Oberstar, H. E. (1951). Viscosity of Glycerol and Its Aqueous Solutions. Industrial & Engineering Chemistry, 43(9), 2117-2120. doi: 10.1021/ie50501a040.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Cristancho, D., Delgado, D., Martínez, F., Abolghassemi Fakhree, M. A., & Jouyban, A. (2011). Volumetric properties of glycerol + water mixtures at several temperatures and correlation with the Jouyban-Acree model. Revista Colombiana de Ciencias Químico Farmacéuticas, 40. 92-115.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Derlacki, Z. J., Easteal, A. J., Edge, A. V. J., Woolf, L. A., & Roksandic, Z. (1985). Diffusion coefficients of methanol and water and the mutual diffusion coefficient in methanol-water solutions at 278 and 298 K. The Journal of Physical Chemistry, 89(24), 5318-5322. doi: 10.1021/j100270a039.
S. Burbulla, M. Hörl, and C. Rohde. Software, (2022)Related to: S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication. doi: 10.48550/arXiv.2207.09301.
S. Burbulla, M. Hörl, and C. Rohde. Dataset, (2022)Related to: S. Burbulla, M. Hörl, and C. Rohde (2022). "Flow in Porous Media with Fractures of Varying Aperture." Submitted for publication. doi: 10.48550/arXiv.2207.09301.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Gültig, M., Range, J. P., Schmitz, B., & Pleiss, J. (2022). Integration of Simulated and Experimentally Determined Thermophysical Properties of Aqueous Mixtures by ThermoML. Journal of Chemical & Engineering Data,. doi: 10.1021/acs.jced.2c00391.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: Mikhail, S. Z., & Kimel, W. R. (1961). Densities and Viscosities of Methanol-Water Mixtures. Journal of Chemical & Engineering Data, 6(4), 533-537. doi: 10.1021/je60011a015.
M. Gültig, J. Range, B. Schmitz, and J. Pleiss. Software, (2022)Related to: González, B., Calvar, N., Gómez, E., & Domínguez, Á. (2007). Density, dynamic viscosity, and derived properties of binary mixtures of methanol or ethanol with water, ethyl acetate, and methyl acetate at T=(293.15, 298.15, and 303.15)K. The Journal of Chemical Thermodynamics, 39(12), 1578-1588. doi: 10.1016/j.jct.2007.05.004.
F. Frieß, M. Braun, G. Reina, and T. Ertl. 2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV), page 53-62. Piscataway, IEEE, (2021)
D. Holder, M. Buser, A. Leis, R. Weber, and T. Graf. 18th Nordic Laser Materials Processing Conference (18th NOLAMP), 1135, page 012005. Institute of Physics, (2021)
D. Braun, W. Schlögl, and M. Weyrich. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Piscataway, IEEE, (2021)
M. Fur, O. Riedel, and A. Verl. 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Piscataway, IEEE, (2021)
Z. Trivedi, D. Gehweiler, J. Wychowaniec, T. Ricken, B. Gueorguiev-Rüegg, A. Wagner, and O. Röhrle. Dataset, (2022)Related to: Trivedi, Z., Gehweiler, D., Wychowaniec, J.K., Ricken, T., Gueorguiev, B., Wagner, A., Röhrle, O., 2023. A continuum mechanical porous media model for vertebroplasty: Numerical simulations and experimental validation. Biomech Model Mechanobiol. doi: 10.1007/s10237-023-01715-4.
T. Praditia, M. Karlbauer, S. Otte, S. Oladyshkin, M. Butz, and W. Nowak. Dataset, (2022)Related to: Praditia, T., Karlbauer, M., Otte, S., Oladyshkin, S., Butz, M.V., Nowak, W.: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Earth and Space Science Open Archive (2022). doi: 10.1002/essoar.10511934.1.
T. Krake, D. Klötzl, B. Eberhardt, and D. Weiskopf. Software, (2022)Related to: Tim Krake, Daniel Klötzl, Bernhard Eberhardt and Daniel Weiskopf, "Constrained Dynamic Mode Decomposition", in IEEE Transactions on Visualization and Computer Graphics, 2022. doi: 10.1109/TVCG.2022.3209437.