Y. Ou, Y. Ikeda, L. Scholz, S. Divinski, F. Fritzen, und B. Grabowski. Dataset, (2024)Related to: Yongliang Ou, Yuji Ikeda, Lena Scholz, Sergiy Divinski, Felix Fritzen, Blazej Grabowski (2024). Atomistic modeling of bulk and grain boundary diffusion in solid electrolyte Li6PS5Cl using machine-learning interatomic potentials. arXiv: 2407.04126.
X. Xu. Dataset, (2024)Related to: Xu, Xiang, Xi Zhang, Erik Bitzek, Siegfried Schmauder, and Blazej Grabowski. "Origin of the yield stress anomaly in L12 intermetallics unveiled with physically-informed machine-learning potentials." Acta Materialia. doi: 10.1016/j.actamat.2024.120423.
H. Acikalin, P. Panyam, W. Shaikh, D. Wang, S. Ravishankar Kousik, P. Atanasova, und M. Buchmeiser. Dataset, (2023)Related to: Hande Acikalin, Pradeep K. R. Panyam, Abdul Wasif Shaikh, Dongren Wang, Shravan R. Kousik, Petia Atanasova, Michael R. Buchmeiser. Hydrosilylation of Alkynes Under Continuous Flow Using Polyurethane-Based Monolithic Supports with Tailored Mesoporosity. Macromol. Chem. Phys. 2023, 224, 2200234. doi: 10.1002/macp.202200234.
S. Ravishankar Kousik. Dataset, (2023)Related to: Shravan R. Kousik, Felix Ziegler, Diane Sipp, Andrés Rodríguez-Camargo, Helena Solodenko, Wenzel Gassner, Guido Schmitz, Bettina V. Lotsch, Michael R. Buchmeiser, Kaloian Koynov, and Petia Atanasova, Imaging the Permeability and Passivation Susceptibility of SiO2 Nanosphere-Based Mesoporous Supports for Molecular Heterogeneous Catalysis under Confinement, ACS Applied Nano Materials 2022 5 (10), 14733-14745. doi: 10.1021/acsanm.2c03057.
