Chaplin, W. J., Serenelli, A. M., Miglio, A., Morel, T., Mackereth, J. T., Vincenzo, F.,https://doi.org/10.1038/s41550-019-0975-9__Yldz, M. (2020). Age dating of an early Milky Way merger via asteroseismology of the naked-eye star ;d Indi. Nature Astronomy. Springer Nature.https://doi.org/10.1038/s41550-019-0975-9 

Aguirre, V. S., Stello, D., Stokholm, A., Mosumgaard, J. R., Ball, W. H., Basu, S.,https://doi.org/10.3847/2041-8213/ab6443__Vanderspek, R. (2020). Detection and characterization of oscillating red giants: First results from the TESS satellite. The Astrophysical Journal Letters. IOP Publishing.https://doi.org/10.3847/2041-8213/ab6443 

Bugnet, L. A., Prat, V., Mathis, S., García, R. A., Mathur, S., Augustson, K.,https://doi.org/10.1007/978-3-030-55336-4_33__Thompson, M. J. (2020). The impact of a fossil magnetic field on dipolar mixed-mode frequencies in sub- and red-giant stars. In M. Monteiro, R. A. Garcia, J. Christensen-Dalsgaard, &; S. W. McIntosh (Eds.), Dynamics of the Sun and Stars (1st ed., Vol. 57, pp. 251–257). Cham: Springer Nature.https://doi.org/10.1007/978-3-030-55336-4_33 

Bhattacharya, S., Chakrabarty, D., &; Henzinger, M. H. (2020). Deterministic dynamic matching in O(1) update time. Algorithmica. Springer Nature.https://doi.org/10.1007/s00453-019-00630-4 

Henzinger, M. H., Leniowski, D., &; Mathieu, C. (2020). Dynamic clustering to minimize the sum of radii. Algorithmica. Springer Nature.https://doi.org/10.1007/s00453-020-00721-7 

Henzinger, M. H., &; Kale, S. (2020). Fully-dynamic coresets. In 28th Annual European Symposium on Algorithms (Vol. 173). Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ESA.2020.57 

Henzinger, M. H., Shahbaz, K., Paul, R., &; Schulz, C. (2020). Dynamic matching algorithms in practice. In 8th Annual European Symposium on Algorithms (Vol. 173). Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ESA.2020.58 

Henzinger, M. H., Neumann, S., &; Wiese, A. (2020). Dynamic approximate maximum independent set of intervals, hypercubes and hyperrectangles. In 36th International Symposium on Computational Geometry (Vol. 164). Zurich, Switzerland: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SoCG.2020.51 

Hanauer, K., Henzinger, M. H., &; Schulz, C. (2020). Faster fully dynamic transitive closure in practice. In 18th International Symposium on Experimental Algorithms (Vol. 160). Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.SEA.2020.14 

Henzinger, M. H., &; Peng, P. (2020). Constant-time dynamic (+1)-coloring. In 37th International Symposium on Theoretical Aspects of Computer Science (Vol. 154). Montpellier, France: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.STACS.2020.53 

Henzinger, M. H., Noe, A., Schulz, C., &; Strash, D. (2020). Finding all global minimum cuts in practice. In 28th Annual European Symposium on Algorithms (Vol. 173). Pisa, Italy: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.https://doi.org/10.4230/LIPIcs.ESA.2020.59 

Chen, L., Goranci, G., Henzinger, M. H., Peng, R., &; Saranurak, T. (2020). Fast dynamic cuts, distances and effective resistances via vertex sparsifiers. In 61st Annual Symposium on Foundations of Computer Science (pp. 1135–1146). Durham, NC, United States: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/focs46700.2020.00109 

Hanauer, K., Henzinger, M. H., &; Schulz, C. (2020). Fully dynamic single-source reachability in practice: An experimental study. In 2020 Symposium on Algorithm Engineering and Experiments (pp. 106–119). Salt Lake City, UT, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976007.9 

Henzinger, M. H., Noe, A., &; Schulz, C. (2020). Shared-memory branch-and-reduce for multiterminal cuts. In 2020 Symposium on Algorithm Engineering and Experiments (pp. 42–55). Salt Lake City, UT, United States: Society for Industrial and Applied Mathematics.https://doi.org/10.1137/1.9781611976007.4 

Goranci, G., Henzinger, M. H., &; Peng, P. (2020). Improved guarantees for vertex sparsification in planar graphs. SIAM Journal on Discrete Mathematics. Society for Industrial &; Applied Mathematics.https://doi.org/10.1137/17m1163153 

Reischauer, S., Strauss, V., &; Pieber, B. (2020). Modular, self-assembling metallaphotocatalyst for cross-couplings using the full visible-light spectrum. ACS Catalysis. American Chemical Society.https://doi.org/10.1021/acscatal.0c03950 

Cavedon, C., Seeberger, P. H., &; Pieber, B. (2020). Photochemical strategies for carbon–heteroatom bond formation. European Journal of Organic Chemistry. Wiley.https://doi.org/10.1002/ejoc.201901173 

Malik, J. A., Madani, A., Pieber, B., &; Seeberger, P. H. (2020). Evidence for photocatalyst involvement in oxidative additions of nickel-catalyzed carboxylate O-arylations. Journal of the American Chemical Society. American Chemical Society.https://doi.org/10.1021/jacs.0c02848 

Mazzanti, S., Kurpil, B., Pieber, B., Antonietti, M., &; Savateev, A. (2020). Dichloromethylation of enones by carbon nitride photocatalysis. Nature Communications. Springer Nature.https://doi.org/10.1038/s41467-020-15131-0 

Gisbertz, S., Reischauer, S., &; Pieber, B. (2020). Overcoming limitations in dual photoredox/nickel-catalysed C–N cross-couplings due to catalyst deactivation. Nature Catalysis. Springer Nature.https://doi.org/10.1038/s41929-020-0473-6