Wireless energy transfer (WET) based on ultrasound‐driven generators with enormous
beneficial functions, is technologically in progress by the valuation of ultrasonic …

Metamaterials are a group of materials/structures which possess novel behaviors not
existing in nature. The metamaterials include electromagnetic metamaterials, acoustic …

This article addresses the inference of physics models from data, from the perspectives of
inverse problems and model reduction. These fields develop formulations that integrate data …

Artificial architected metamaterials equipped with unique mechanical and physical
properties that are naturally inaccessible can be obtained by rational design. In this work …

We propose derivative-informed neural operators (DINOs), a general family of neural
networks to approximate operators as infinite-dimensional map**s from input function …

With the continuous improvement of structural performance requirements of advanced
equipment, the multiscale design of materials and structures is increasingly develo** …

Many-query problems–arising from, eg, uncertainty quantification, Bayesian inversion,
Bayesian optimal experimental design, and optimization under uncertainty–require …

We develop a fast and scalable computational framework to solve Bayesian optimal
experimental design problems governed by partial differential equations (PDEs) with …

Various strategies have been proposed to achieve invisibility cloaking, but usually only one
phenomenon is controlled by each device. Cloaking an object from two different waves …

By including acoustic-elastic interactions in a topology optimization based on the covariance
matrix adaptation evolution strategy, we developed acoustic cloaks of optimal design that …