Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Inverse design of multilayer nanoparticles using artificial neural
  networks and genetic algorithm   The light scattering of multilayer nanoparticles can be solved by Maxwell
equations. However, it is difficult to solve the inverse design of multilayer
nanoparticles by using the traditional trial-and-error method. Here, we present
a method for forward simulation and inverse design of multilayer nanoparticles.
We combine the global search ability of genetic algorithm with the local search
ability of neural network. First, the genetic algorithm is used to find a
suitable solution, and then the neural network is used to fine-tune it. Due to
the non-unique relationship between physical structures and optical responses,
we first train a forward neural network, and then it is applied to the inverse
design of multilayer nanoparticles. Not only here, this method can easily be
extended to predict and find the best design parameters for other optical
structures.

18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
11
The categories of this paper are: hep-lat
29
The categories of this paper are: funct-an
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th