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arXiv: 2001.04653

Aguirre VS, Stello D, Stokholm A, et al. Detection and characterization of oscillating red giants: First results from the TESS satellite. The Astrophysical Journal Letters. 2020;889(2). doi:10.3847/2041-8213/ab6443
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arXiv: 1912.07604

Bugnet LA, Prat V, Mathis S, et al. The impact of a fossil magnetic field on dipolar mixed-mode frequencies in sub- and red-giant stars. In: Monteiro M, Garcia RA, Christensen-Dalsgaard J, McIntosh SW, eds. Dynamics of the Sun and Stars. Vol 57. 1st ed. ASSSP. Cham: Springer Nature; 2020:251-257. doi:10.1007/978-3-030-55336-4_33
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arXiv: 2012.08684

Bhattacharya S, Chakrabarty D, Henzinger MH. Deterministic dynamic matching in O(1) update time. Algorithmica. 2020;82(4):1057-1080. doi:10.1007/s00453-019-00630-4
LibreCat: https://research-explorer.ista.ac.at/record/11675
DOI: 10.1007/s00453-019-00630-4

Henzinger MH, Leniowski D, Mathieu C. Dynamic clustering to minimize the sum of radii. Algorithmica. 2020;82(11):3183-3194. doi:10.1007/s00453-020-00721-7
LibreCat: https://research-explorer.ista.ac.at/record/11674
DOI: 10.1007/s00453-020-00721-7
arXiv: 1707.02577

Henzinger MH, Kale S. Fully-dynamic coresets. In: 28th Annual European Symposium on Algorithms. Vol 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.ESA.2020.57
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arXiv: 2004.14891

Henzinger MH, Shahbaz K, Paul R, Schulz C. Dynamic matching algorithms in practice. In: 8th Annual European Symposium on Algorithms. Vol 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.ESA.2020.58
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DOI: 10.4230/LIPIcs.ESA.2020.58
arXiv: 2004.09099

Henzinger MH, Neumann S, Wiese A. Dynamic approximate maximum independent set of intervals, hypercubes and hyperrectangles. In: 36th International Symposium on Computational Geometry. Vol 164. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.SoCG.2020.51
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arXiv: 2003.02605

Hanauer K, Henzinger MH, Schulz C. Faster fully dynamic transitive closure in practice. In: 18th International Symposium on Experimental Algorithms. Vol 160. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.SEA.2020.14
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arXiv: 2002.00813

Henzinger MH, Peng P. Constant-time dynamic (+1)-coloring. In: 37th International Symposium on Theoretical Aspects of Computer Science. Vol 154. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.STACS.2020.53
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arXiv: 1907.04745

Henzinger MH, Noe A, Schulz C, Strash D. Finding all global minimum cuts in practice. In: 28th Annual European Symposium on Algorithms. Vol 173. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2020. doi:10.4230/LIPIcs.ESA.2020.59
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arXiv: 2002.06948

Chen L, Goranci G, Henzinger MH, Peng R, Saranurak T. Fast dynamic cuts, distances and effective resistances via vertex sparsifiers. In: 61st Annual Symposium on Foundations of Computer Science. Institute of Electrical and Electronics Engineers; 2020:1135-1146. doi:10.1109/focs46700.2020.00109
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DOI: 10.1109/focs46700.2020.00109
arXiv: 2005.02368

Hanauer K, Henzinger MH, Schulz C. Fully dynamic single-source reachability in practice: An experimental study. In: 2020 Symposium on Algorithm Engineering and Experiments. Society for Industrial and Applied Mathematics; 2020:106-119. doi:10.1137/1.9781611976007.9
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DOI: 10.1137/1.9781611976007.9
arXiv: 1905.01216

Henzinger MH, Noe A, Schulz C. Shared-memory branch-and-reduce for multiterminal cuts. In: 2020 Symposium on Algorithm Engineering and Experiments. Society for Industrial and Applied Mathematics; 2020:42-55. doi:10.1137/1.9781611976007.4
LibreCat: https://research-explorer.ista.ac.at/record/11881
DOI: 10.1137/1.9781611976007.4
arXiv: 1908.04141

Goranci G, Henzinger MH, Peng P. Improved guarantees for vertex sparsification in planar graphs. SIAM Journal on Discrete Mathematics. 2020;34(1):130-162. doi:10.1137/17m1163153
LibreCat: https://research-explorer.ista.ac.at/record/11894
DOI: 10.1137/17m1163153
arXiv: 1702.01136

Reischauer S, Strauss V, Pieber B. Modular, self-assembling metallaphotocatalyst for cross-couplings using the full visible-light spectrum. ACS Catalysis. 2020;10(22):13269–13274. doi:10.1021/acscatal.0c03950
LibreCat: https://research-explorer.ista.ac.at/record/11954
DOI: 10.1021/acscatal.0c03950

Cavedon C, Seeberger PH, Pieber B. Photochemical strategies for carbon–heteroatom bond formation. European Journal of Organic Chemistry. 2020;2020(10):1379-1392. doi:10.1002/ejoc.201901173
LibreCat: https://research-explorer.ista.ac.at/record/11969
DOI: 10.1002/ejoc.201901173

Malik JA, Madani A, Pieber B, Seeberger PH. Evidence for photocatalyst involvement in oxidative additions of nickel-catalyzed carboxylate O-arylations. Journal of the American Chemical Society. 2020;142(25):11042-11049. doi:10.1021/jacs.0c02848
LibreCat: https://research-explorer.ista.ac.at/record/11978
DOI: 10.1021/jacs.0c02848
PMID: 32469219

Mazzanti S, Kurpil B, Pieber B, Antonietti M, Savateev A. Dichloromethylation of enones by carbon nitride photocatalysis. Nature Communications. 2020;11. doi:10.1038/s41467-020-15131-0
LibreCat: https://research-explorer.ista.ac.at/record/11980
DOI: 10.1038/s41467-020-15131-0

Gisbertz S, Reischauer S, Pieber B. Overcoming limitations in dual photoredox/nickel-catalysed C–N cross-couplings due to catalyst deactivation. Nature Catalysis. 2020;3(8):611-620. doi:10.1038/s41929-020-0473-6
LibreCat: https://research-explorer.ista.ac.at/record/11979
DOI: 10.1038/s41929-020-0473-6