A. Ghazaryan, P. L. S. Lopes, P. Hosur, M. J. Gilbert, and P. Ghaemi, “Effect of Zeeman coupling on the Majorana vortex modes in iron-based topological superconductors,” Physical Review B, vol. 101, no. 2. American Physical Society, 2020.

Y. Wu, R. Krishnakumar, J. Martínez-Rincón, B. K. Malia, O. Hosten, and M. A. Kasevich, “Retrieval of cavity-generated atomic spin squeezing after free-space release,” Physical Review A, vol. 102, no. 1. American Physical Society, 2020.

S. Jeschke, C. Hafner, N. Chentanez, M. Macklin, M. Müller-Fischer, and C. Wojtan, “Making procedural water waves boundary-aware,” Computer Graphics forum, vol. 39, no. 8. Wiley, pp. 47–54, 2020.

T. Brázdil, K. Chatterjee, P. Novotný, and J. Vahala, “Reinforcement learning of risk-constrained policies in Markov decision processes,” Proceedings of the 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 06. Association for the Advancement of Artificial Intelligence, pp. 9794–9801, 2020.

S. Park et al., “VRK-1 extends life span by activation of AMPK via phosphorylation,” Science Advances, vol. 6, no. 27. American Association for the Advancement of Science, 2020.

N. Pinotsis et al., “Calcium modulates the domain flexibility and function of an ;1-actinin similar to the ancestral ;1-actinin,” Proceedings of the National Academy of Sciences, vol. 117, no. 36. Proceedings of the National Academy of Sciences, pp. 22101–22112, 2020.

U. Bauer, H. Edelsbrunner, G. Jablonski, and M. Mrozek, “cech-Delaunay gradient flow and homology inference for self-maps,” Journal of Applied and Computational Topology, vol. 4, no. 4. Springer Nature, pp. 455–480, 2020.

G. Cipolloni, L. Erdös, and D. J. Schröder, “Optimal lower bound on the least singular value of the shifted Ginibre ensemble,” Probability and Mathematical Physics, vol. 1, no. 1. Mathematical Sciences Publishers, pp. 101–146, 2020.

M. Wasiak et al., “Compact millimeter and submillimeter-wave photonic radiometer for cubesats,” in 14th European Conference on Antennas and Propagation, Copenhagen, Denmark, 2020.

S. Brandt, B. Keller, J. Rybicki, J. Suomela, and J. Uitto, “Brief announcement: Efficient load-balancing through distributed token dropping,” in 34th International Symposium on Distributed Computing, Virtual, 2020, vol. 179.

O. Aichholzer, J. Obmann, P. Patak, D. Perz, and J. Tkadlec, “Disjoint tree-compatible plane perfect matchings,” in 36th European Workshop on Computational Geometry, Würzburg, Germany, Virtual, 2020.

A. Javanmard, M. Mondelli, and A. Montanari, “Analysis of a two-layer neural network via displacement convexity,” Annals of Statistics, vol. 48, no. 6. Institute of Mathematical Statistics, pp. 3619–3642, 2020.

L. Anderson, T. Hausel, R. Mazzeo, and L. Schaposnik, “Geometry and physics of Higgs bundles,” Oberwolfach Reports, vol. 16, no. 2. European Mathematical Society, pp. 1357–1417, 2020.

A. K. Klose, V. Karle, R. Winkelmann, and J. F. Donges, “Emergence of cascading dynamics in interacting tipping elements of ecology and climate: Cascading dynamics in tipping elements,” Royal Society Open Science, vol. 7, no. 6. The Royal Society, 2020.

D. Ernst, G. Novotny, and E. M. Schönher, “(Core Trust) Seal your repository!,” Mitteilungen der Vereinigung Österreichischer Bibliothekarinnen und Bibliothekare, vol. 73, no. 1. Vereinigung Osterreichischer Bibliothekarinnen und Bibliothekare, pp. 46–59, 2020.

L. Erdös, F. Götze, and A. Guionnet, “Random matrices,” Oberwolfach Reports, vol. 16, no. 4. European Mathematical Society, pp. 3459–3527, 2020.

C. Hainzl, B. Schlein, R. Seiringer, and S. Warzel, “Many-body quantum systems,” Oberwolfach Reports, vol. 16, no. 3. European Mathematical Society, pp. 2541–2603, 2020.

V. Oshurkova, O. Troshina, V. Trubitsyn, Y. Ryzhmanova, O. Bochkareva, and V. Shcherbakova, “Characterization of methanosarcina mazei JL01 isolated from holocene arctic permafrost and study of the archaeon cooperation with bacterium Sphaerochaeta associata GLT,” in Proceedings of 1st International Electronic Conference on Microbiology, Virtual, 2020.

F. Fäßler et al., “Cryo-electron tomography workflows for quantitative analysis of actin networks involved in cell migration,” Microscopy and Microanalysis, vol. 26, no. . Oxford University Press, pp. 2518–2519, 2020.

F. Faghri, I. Tabrizian, I. Markov, D.-A. Alistarh, D. Roy, and A. Ramezani-Kebrya, “Adaptive gradient quantization for data-parallel SGD,” in Advances in Neural Information Processing Systems, Vancouver, Canada, 2020, vol. 33.