Dello Schiavo, L. (2022). The Dirichlet–Ferguson diffusion on the space of probability measures over a closed Riemannian manifold. Annals of Probability. Institute of Mathematical Statistics.https://doi.org/10.1214/21-AOP1541 

Cao, D., Shen, X., Wang, A., Yu, F., Wu, Y., Shi, S.,https://doi.org/10.1038/s41929-022-00752-z__Chen, Y. (2022). Threshold potentials for fast kinetics during mediated redox catalysis of insulators in Li–O2 and Li–S batteries. Nature Catalysis. Springer Nature.https://doi.org/10.1038/s41929-022-00752-z 

Schaaf, Z., Tat, L., Cannizzaro, N., Green, R., Rülicke, T., Hippenmeyer, S., &; Zarbalis, K. (n.d.). WDF cell autonomously controls neuronal migration. Research Square.https://doi.org/10.21203/rs.3.rs-1316167/v1 

Utzat, H., &; Ibáñez, M. (2022). Molecular engineering enables bright blue LEDs. Nature. Springer Nature.https://doi.org/10.1038/d41586-022-04447-0 

Ivanov, G., &; Naszodi, M. (2022). A quantitative Helly-type theorem: Containment in a homothet. SIAM Journal on Discrete Mathematics. Society for Industrial and Applied Mathematics.https://doi.org/10.1137/21M1403308 

Browning, T. D. (2022). Revisiting the Manin–Peyre conjecture for the split del Pezzo surface of degree 5. New York Journal of Mathematics. State University of New York.

Roos, B., &; Seiringer, R. (2022). Two-particle bound states at interfaces and corners. Journal of Functional Analysis. Elsevier.https://doi.org/10.1016/j.jfa.2022.109455 

Rao, P., B R, M., Fox, G., Weyrich, T., Bickel, B., Seidel, H.-P.,  Elgharib, M. (2022). VoRF: Volumetric Relightable Faces. In 33rd British Machine Vision Conference. London, United Kingdom: British Machine Vision Association and Society for Pattern Recognition.

Bartalska, K., Hübschmann, V., Korkut, M., Cubero, R. J., Venturino, A., Rössler, K.,https://doi.org/10.1016/j.isci.2022.104580__Siegert, S. (2022). A systematic characterization of microglia-like cell occurrence during retinal organoid differentiation. IScience. Elsevier.https://doi.org/10.1016/j.isci.2022.104580 

Hübschmann, V., Korkut, M., &; Siegert, S. (2022). Assessing human iPSC-derived microglia identity and function by immunostaining, phagocytosis, calcium activity, and inflammation assay. STAR Protocols. Elsevier.https://doi.org/10.1016/j.xpro.2022.101866 

Friml, J., Gallei, M. C., Gelová, Z., Johnson, A. J., Mazur, E., Monzer, A.,https://doi.org/10.1038/s41586-022-05187-x__Rakusová, H. (2022). AB–TMK auxin perception for global phosphorylation and auxin canalization. Nature. Springer Nature.https://doi.org/10.1038/s41586-022-05187-x 

Gallei, M. C. (2022). Auxin and strigolactone non-canonical signaling regulating development in Arabidopsis thaliana. Institute of Science and Technology Austria.https://doi.org/10.15479/at:ista:11626 

Li, L., Gallei, M. C., &; Friml, J. (2022). Bending to auxin: Fast acid growth for tropisms. Trends in Plant Science. Cell Press.https://doi.org/10.1016/j.tplants.2021.11.006 

Sahtoe, D. D., Praetorius, F. M., Courbet, A., Hsia, Y., Wicky, B. I. M., Edman, N. I.,https://doi.org/10.1126/science.abj7662__Baker, D. (2022). Reconfigurable asymmetric protein assemblies through implicit negative design. Science. American Association for the Advancement of Science.https://doi.org/10.1126/science.abj7662 

Zemlicka, M., Redchenko, E., Peruzzo, M., Hassani, F., Trioni, A., Barzanjeh, S., &; Fink, J. M. (2022). Compact vacuum gap transmon qubits: Selective and sensitive probes for superconductor surface losses. Zenodo.https://doi.org/10.5281/ZENODO.8408897 

Stöllner, A. (2022). Measuring airborne nanoplastics using aerosol physics. Nature Reviews Earth and Environment. Springer Nature.https://doi.org/10.1038/s43017-022-00302-y 

Hansen, A. H., Pauler, F., Riedl, M., Streicher, C., Heger, A.-M., Laukoter, S.,https://doi.org/10.1093/oons/kvac009__Hippenmeyer, S. (2022). Tissue-wide effects override cell-intrinsic gene function in radial neuron migration. Oxford Open Neuroscience. Oxford Academic.https://doi.org/10.1093/oons/kvac009 

Chatterjee, K., Goharshady, A. K., Meggendorfer, T., &; Zikelic, D. (2022). Sound and complete certificates for auantitative termination analysis of probabilistic programs. In Proceedings of the 34th International Conference on Computer Aided Verification (Vol. 13371, pp. 55–78). Haifa, Israel: Springer.https://doi.org/10.1007/978-3-031-13185-1_4 

Lechner, M., Zikelic, D., Chatterjee, K., &; Henzinger, T. A. (2022). Stability verification in stochastic control systems via neural network supermartingales. Proceedings of the AAAI Conference on Artificial Intelligence. Association for the Advancement of Artificial Intelligence.https://doi.org/10.1609/aaai.v36i7.20695 

Zikelic, D., Lechner, M., Chatterjee, K., &; Henzinger, T. A. (n.d.). Learning stabilizing policies in stochastic control systems. arXiv.https://doi.org/10.48550/arXiv.2205.11991