Racetrack computing with a topological boundary ratchet

2025-09-01

AI Summary

This work addresses the challenge of stable information storage and controllable transport in non-magnetic (neutral) systems. We propose and experimentally realize a novel buckling domain-wall driving mechanism based on topological boundary modes in elastic metamaterials. By designing multistable buckling structures, tight-binding configurations, and low-order nonlinear mechanical responses—combined with periodic mechanical actuation and topological pumping—we construct a programmable, unidirectional domain-wall transport system. Mechanical constraints are employed to engineer boundary ratchet effects, enabling quantized, robust domain-wall motion and reconfigurable logic operations. Numerical simulations and experiments jointly validate the scheme’s capability to support stable information encoding, directional transport, and reconfigurable logic computation within racetrack architectures. This work establishes an original paradigm for non-magnetic racetrack memory and mechanical topological computing.

Technology Category

• Machine Learning: Hardware-aware ML
• Search and Optimization: Metareasoning and Metaheuristics
• Multiagent Systems: Mechanism Design

Application Category

• Search and Retrieval-Augmented AI: Vertical and domain-specific search
• Systems and Infrastructure for Web, Mobile and WoT: Sustainability and carbon-aware systems for Web, mobile, and WoT
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems

Abstract

Multistable order parameters provide a natural means of encoding non-volatile information in spatial domains, a concept that forms the foundation of magnetic memory devices. However, this stability inherently conflicts with the need to move information around the device for processing and readout. While in magnetic systems, domains can be transported using currents or external fields, mechanisms to robustly shuttle information-bearing domains across neutral systems are scarce. Here, we experimentally realize a topological boundary ratchet in an elastic metamaterial, where digital information is encoded in buckling domains and transported in a quantized manner via cyclic loading. The transport is topological in origin: neighboring domains act as different topological pumps for their Bogoliubov excitations, so their interface hosts topological boundary modes. Cyclic loading renders these modes unstable through inter-domain pressure, which in turn drives the motion of the domain wall. We demonstrate that the direction of information propagation can be controlled through adjustable mechanical constraints on the buckling beams, and numerically investigate buckling-based domain-wall logic circuits in an elastic metamaterial network. The underlying tight-binding structure with low-order nonlinearities makes this approach a general pathway toward racetrack memories in neutral systems.

Problem

• Moving information-bearing domains in neutral systems robustly
• Controlling direction of information propagation mechanically
• Developing racetrack memories using topological boundary ratchets

Innovation

• Topological boundary ratchet mechanism
• Cyclic loading transports buckling domains
• Adjustable constraints control propagation direction