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Nature Communications|December 14, 2023
A computational toolbox for the assembly yield of complex and heterogeneous structuresAgnese I Curatolo, Ofer Kimchi, Carl P Goodrich, et al.Proceedings of the National Academy of Sciences of the United States of America|May 19, 2021
Machine learning-accelerated computational fluid dynamicsDmitrii Kochkov, Jamie A Smith, Ayya Alieva, et al.Nature Biotechnology|February 12, 2021
Deep diversification of an AAV capsid protein by machine learningDrew H Bryant, Ali Bashir, Sam Sinai, et al.Proceedings of the National Academy of Sciences of the United States of America|March 3, 2021
Designing self-assembling kinetics with differentiable statistical physics modelsCarl P Goodrich, Ella M King, Samuel S Schoenholz, et al.Proceedings of the National Academy of Sciences of the United States of America|June 24, 2024
Programming patchy particles for materials assembly designElla M King, Chrisy Xiyu Du, Qian-Ze Zhu, et al.Physical Review Letters|March 10, 2012
Skating on a film of air: drops impacting on a surfaceJohn M Kolinski, Shmuel M Rubinstein, Shreyas Mandre, et al.ACS Nano|April 11, 2025
Hierarchical Self-Assembly of Magnetic Handshake MaterialsAndreia L Fenley, Chrisy Xiyu Du, Paul L McEuen, et al.Proceedings of the National Academy of Sciences of the United States of America|December 29, 2012
Liquid transport facilitated by channels in Bacillus subtilis biofilmsJames N Wilking, Vasily Zaburdaev, Michael De Volder, et al.Proceedings of the National Academy of Sciences of the United States of America|July 1, 2026
Combinatorial decision-making driven by multicomponent surface condensatesAidan Zentner, Ethan V Halingstad, Cameron Chalk, et al.Science (New York, N.Y.)|October 15, 2005
Shocks in ion sputtering sharpen steep surface featuresH Henry Chen, Omar A Urquidez, Stefan Ichim, et al.Pageof 15