R. Guseinov, C. McMahan, J. Perez Rodriguez, C. Daraio, and B. Bickel, “Programming temporal morphing of self-actuated shells,” Nature Communications, vol. 11. Springer Nature, 2020.

F. K. Schur, “STL-files for 3D-printed grid holders described in  Fäßler F, Zens B, et al.; 3D printed cell culture grid holders for improved cellular specimen preparation in cryo-electron microscopy.” Institute of Science and Technology Austria, 2020.

S. Bhatia, B. Chatterjee, D. Nathani, and M. Kaul, “A persistent homology perspective to the link prediction problem,” in Complex Networks and their applications VIII, Lisbon, Portugal, 2020, vol. 881, pp. 27–39.

E. Kokoris Kogias, D. Malkhi, and A. Spiegelman, “Asynchronous distributed key generation for computationally-secure randomness, consensus, and threshold signatures,” in Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual, United States, 2020, pp. 1751–1767.

M. Garcia Soto and P. Prabhakar, “Hybridization for stability verification of nonlinear switched systems,” in 2020 IEEE Real-Time Systems Symposium, Houston, TX, USA , 2020, pp. 244–256.

C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “Optimal rate for Bose-Einstein condensation in the Gross-Pitaevskii regime,” Communications in Mathematical Physics, vol. 376. Springer, pp. 1311–1395, 2020.

R. Sun and C. Lampert, “KS(conf): A light-weight test if a multiclass classifier operates outside of its specifications,” International Journal of Computer Vision, vol. 128, no. 4. Springer Nature, pp. 970–995, 2020.

P. Wang, H. Fu, K. Chatterjee, Y. Deng, and M. Xu, “Proving expected sensitivity of probabilistic programs with randomized variable-dependent termination time,” in Proceedings of the ACM on Programming Languages, 2020, vol. 4, no. POPL.

J. Alt, L. Erdös, T. H. Krüger, and D. J. Schröder, “Correlated random matrices: Band rigidity and edge universality,” Annals of Probability, vol. 48, no. 2. Institute of Mathematical Statistics, pp. 963–1001, 2020.

J. Moulinier-Anzola et al., “TOLs function as ubiquitin receptors in the early steps of the ESCRT pathway in higher plants,” Molecular Plant, vol. 13, no. 5. Elsevier, pp. 717–731, 2020.

H. V. D. Rosa et al., “Molecular recognition at septin interfaces: The switches hold the key,” Journal of Molecular Biology, vol. 432, no. 21. Elsevier, pp. 5784–5801, 2020.

S. Ishida, P. Synak, F. Narita, T. Hachisuka, and C. Wojtan, “A model for soap film dynamics with evolving thickness,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.

A. Czumaj, P. Davies, and M. Parter, “Graph sparsification for derandomizing massively parallel computation with low space,” in Proceedings of the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), Virtual Event, United States, 2020, no. 7, pp. 175–185.

T. A. Brown, A. Prokopec, and D.-A. Alistarh, “Non-blocking interpolation search trees with doubly-logarithmic running time,” in Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, San Diego, CA, United States, 2020, pp. 276–291.

G. Sperl, R. Narain, and C. Wojtan, “Homogenized yarn-level cloth,” ACM Transactions on Graphics, vol. 39, no. 4. Association for Computing Machinery, 2020.

J. Pkalski, W. Rzadkowski, and A. Z. Panagiotopoulos, “Shear-induced ordering in systems with competing interactions: A machine learning study,” The Journal of chemical physics, vol. 152, no. 20. AIP Publishing, 2020.

M. A. Baig, D. Hendler, A. Milani, and C. Travers, “Long-lived snapshots with polylogarithmic amortized step complexity,” in Proceedings of the 39th Symposium on Principles of Distributed Computing, Virtual, Italy, 2020, pp. 31–40.

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.

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.