Title: Customizable wave tailoring materials enabled by coupling nonlinear inverse design at two scales

Abstract: Passive transformation of waves via nonlinear systems is ubiquitous in settings ranging from acoustics to optics and electromagnetics. Passivity is of particular importance for responding rapidly to stimuli, and nonlinearity enormously expands signal transformability compared to linear systems due to the breaking of superposition. It is well known that different types of nonlinearity yield vastly and qualitatively different effects on propagating signals, which raises the question of what precise nonlinearity is the best for a given wave tailoring application? This question has largely remained in the regime of simulation and theory, as, until recently it has not been possible to freely choose any optimal nonlinearity (instead relying on limited tunability around known nonlinear mechanisms). Herein, we leverage recent advances in mechanics, wherein desired nonlinear constitutive responses can be achieved through shape optimization, and couple this to a larger-scale, reduced-order nonlinear dynamical inverse design step. Using minimization of kinetic energy transmission from impact as a case study, we identify ideal nonlinear constitutive responses and the geometries needed to achieve them within a single design process. As part of this, we show the large sensitivity of this metric to small changes in nonlinearity, and thus the need for high precision, free-form nonlinearity tailoring. We validate our predictions using impact experiments in a chain of nonlinear springs and masses. This work sets the foundation for broader passive nonlinear mechanical wave tailoring material design, including future incorporation of higher-dimensionality, irreversibility, material heterogenity, and coupled physics. Potential applications include mechanical computing, acoustic signal and image processing, impact mitigation, and materials that autonomously respond and do work via rapid shape-change.