公开(公告)号：US20230081282A1

公开(公告)日：2023-03-16

申请号：US17192305

申请日：2021-03-04

Applicant: Arizona Board of Regents on Behalf of Arizona State University

Inventor： Petr Sulc ,  Flavio Romano ,  John Russo ,  Lukas Kroc

IPC: G06F30/10

Abstract: A general framework which transforms the inverse problem of self-assembly of colloidal crystals into a Boolean satisfiability problem for which solutions can be found numerically is described herein. Given a reference structure and the desired number of components, our approach produces designs for which the target structure is an energy minimum, and also allows to exclude solutions that correspond to competing structures.

公开(公告)号：US20240311527A1

公开(公告)日：2024-09-19

申请号：US18606649

申请日：2024-03-15

Applicant: Arizona Board of Regents on Behalf of Arizona State University ,  UNIVERSITÀ CA' FOSCARI ,  SAPIENZA UNIVERSITY OF ROME

Inventor： Petr Sulc ,  Michael Matthies ,  Flavio Romano ,  John Russo ,  Hao Liu

IPC: G06F30/20 ,  G16B15/10

CPC classification number: G06F30/20 ,  G16B15/10

Abstract: A computer-implemented system uses multiscale modeling and optimization algorithms to design DNA nanostructures that self-assemble into a target structure, such as a tetrastack lattice. The system converts a target structure into a Boolean Satisfiability problem and models nanostructure units as “patchy” nanostructure models, where patches encode kinetic properties that affect how each nanostructure model connects with other nanostructure models. The system iteratively simulates self-assembly of a plurality of nanostructure models into a nanostructure assembly model, and compares the nanostructure assembly model with the target structure to determine a set of optimal parameters (such as patch type assignments) for the nanostructure units that reliably result in self-assembly into the target structure.