Nonequilibrium Self-Assembly Control by the Stochastic Landscape Method.

ABSTRACT: Self-assembly of building blocks is a fundamental process in nanotechnology, materials science, and biological systems, offering pathways to the formation of complex and functional structures through local interactions. However, the lack of effective error correction mechanisms often limits the efficiency and precision of assembly, particularly in systems with strong binding energies. Inspired by cellular processes and stochastic resetting, we present a closed-loop feedback control method that employs transient modulations in interaction energies, mimicking, for instance, the global effect of pH changes as nonequilibrium drives to optimize assembly outcomes in real time. By leveraging the stochastic landscape method, a framework using energy trend-based segmentation to predict self-assembl

SUBMITTER: Faran M 

PROVIDER: S-EPMC12042269 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature