Racetrack Computing with a Topological Boundary Ratchet.

Area of Science:

• Physics
• Materials Science
• Information Technology

Background:

• Multistable order parameters encode nonvolatile information in spatial domains, fundamental to magnetic memory.
• Moving information-bearing domains in magnetic systems typically requires currents or external fields.
• Robust methods for transporting domains in neutral systems are limited.

Purpose of the Study:

• To experimentally realize a topological boundary ratchet in an elastic metamaterial.
• To demonstrate quantized transport of information-encoded buckling domains via cyclic loading.
• To explore the potential for domain-wall logic circuits in elastic metamaterial networks.

Main Methods:

• Encoding digital information in buckling domains within an elastic metamaterial.
• Utilizing a topological boundary ratchet mechanism driven by cyclic loading.
• Investigating topological boundary modes at domain interfaces and their response to interdomain pressure.
• Controlling information propagation direction via adjustable mechanical constraints.
• Numerical simulations of buckling-based domain-wall logic circuits.

Main Results:

• Successful experimental realization of a topological boundary ratchet for quantized domain transport.
• Demonstration that topological boundary modes drive domain wall motion under cyclic loading.
• Control over information propagation direction achieved through mechanical constraints.
• Numerical evidence supporting the feasibility of domain-wall logic circuits.

Conclusions:

• The topological boundary ratchet provides a robust mechanism for transporting information-encoded domains in neutral systems.
• This approach offers a general pathway toward developing racetrack memories in elastic metamaterials.
• The underlying physics, based on topological properties and nonlinearities, has broad implications for future information storage and processing technologies.