… Then, we discussed state-of-the-art inverse design problems being solved by DL, categorizing
them by the three different classes of learning methods: supervised, unsupervised, and RL…

… is usually processed by solving an optimization problem to map a … However, inverse design
for materials suffers from the … Besides, the inverse design problem is inherently ill-posed or …

… We will apply hPINN to solve this inverse design problem of holography. The objective
function is defined in (3.1) and is approximated by MonteCarlo integration. The PDEs are the real …

… inverse scattering problems. Here we show that by combining forward modeling and inverse
design … the inverse design suffers from the problem of nonuniqueness, a typical issue in the …

… Very recently, machine learning has been adopted in the research of photonics and optics
as an alternative approach to address the inverse design problem. In this report, the fast …

… 3 we minimize equation (3) for a single-frequency λ = 532 nm lens design problem: we focus
an incident planewave at a 5-degree angle on a focal point 14.7 µm from the surface, using …

… on most nanophotonic inverse design problems, we consider two different inverse design
problems from the template design and free-form design categories, respectively. …

… The key challenge we address in this paper is the inverse design problem for inflatables:
How can we find the optimal network of air channels such that the deployed surface best …

… problem, which forms the foundation for using TopOpt for inverse design, using a cylindrical
metalens design problem … The basic optimization problem derived in Section 6 is solved to …

… To overcome these issues, inverse design with various flow simulation … inverse design
methods. Our neural network methodology does not approach the inverse design problem from …