Publications [#382824] of Cynthia D. Rudin

Papers Published

1. Bastawrous, MV; Chen, Z; Ogren, AC; Daraio, C; Rudin, C; Brinson, LC, A multiscale design method using interpretable machine learning for phononic materials with closely interacting scales, Computer Methods in Applied Mechanics and Engineering, vol. 440 (May, 2025) [doi]
   (last updated on 2026/01/16)

   Abstract:
   Manipulating the dispersive characteristics of vibrational waves is beneficial for many applications, e.g., high-precision instruments. architected hierarchical phononic materials have sparked promise tunability of elastodynamic waves and vibrations over multiple frequency ranges. In this article, hierarchical unit-cells are obtained, where features at each length scale result in a band gap within a targeted frequency range. Our novel approach, the “hierarchical unit-cell template method,” is an interpretable machine-learning approach that uncovers global unit-cell shape/topology patterns corresponding to predefined band-gap objectives. A scale-separation effect is observed where the coarse-scale band-gap objective is mostly unaffected by the fine-scale features despite the closeness of their length scales, thus enabling an efficient hierarchical algorithm. Moreover, the hierarchical patterns revealed are not predefined or self-similar hierarchies as common in current hierarchical phononic materials. Thus, our approach offers a flexible and efficient method for the exploration of new regions in the hierarchical design space, extracting minimal effective patterns for inverse design in applications targeting multiple frequency ranges.