J. Nicodemus, J. Kneifl, J. Fehr, and B. Unger. 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022, 55, 20, page 331-336. Elsevier, (2022)
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.
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.
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.
L. Triess, A. Bühler, D. Peter, F. Flohr, and J. Zöllner. Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, 151, page 4462-4481. Journal of Machine Learning Research, (2022)
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.
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.
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.
M. Takamoto, T. Praditia, R. Leiteritz, D. MacKinlay, F. Alesiani, D. Pflüger, and M. Niepert. Dataset, (2022)Related to: Takamoto, M., Praditia, T., Leiteritz, R., MacKinlay, D., Alesiani, F., Pflüger, D. and Niepert, M.: PDEBench: An Extensive Benchmark for Scientific Machine Learning. submitted to the 36th Conference on Neural Information Processing Systems (NeurIPS 2022) Track on Datasets and Benchmarks.