V. Zaverkin, D. Holzmüller, L. Bonfirraro, and J. Kästner. Dataset, (2023)Related to: Viktor Zaverkin, David Holzmüller, Luca Bonfirraro, Johannes Kästner. Transfer learning for chemically accurate interatomic neural network potentials, Phys. Chem. Chem. Phys., 2023, 25, 5383-5396. doi: 10.1039/D2CP05793J.
V. Zaverkin, D. Holzmüller, I. Steinwart, and 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.
F. Zermiani, A. Bulling, and M. Wirzberger. ETRA '22 : 2022 Symposium on Eye Tracking Research and Applications, page 49. New York, Association for Computing Machinery, (2022)
K. Zhan. Dataset, (2021)Related to: Zhan, K., Fritsch, D., and Wagner, J. F.: Photogrammetry and computed tomography point cloud registration using virtual control points. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2021, 265-270, 2021. doi: 10.5194/isprs-archives-XLIII-B2-2021-265-2021.