Journal
SENSORS
Volume 21, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/s21010100
Keywords
diffractive optical elements; terahertz optics; beam shaping; 3D printing; convolution approach; on-axis and off-axis regime; neural-network-based optimization
Funding
- National Center for Research and Development under the LIDER program [LIDER/11/0036/L-9/17/NCBR/2018]
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Diffractive optical elements are characterized by their flat and lightweight properties, with low attenuation, providing better efficiency in some cases compared to refractive lenses. Terahertz optical structures based on diffractive design exist, with optimization methods such as neural networks to effectively control phase changes.
Diffractive optical elements are well known for being not only flat but also lightweight, and are characterised by low attenuation. In different spectral ranges, they provide better efficiency than commonly used refractive lenses. An overview of the recently invented terahertz optical structures based on diffraction design is presented. The basic concepts of structure design together with various functioning of such elements are described. The methods for structure optimization are analysed and the new approach of using neural network is shown. The paper illustrates the variety of structures created by diffractive design and highlights optimization methods. Each structure has a particular complex transmittance that corresponds to the designed phase map. This precise control over the incident radiation phase changes is limited to the design wavelength. However, there are many ways to overcome this inconvenience allowing for broadband functioning.
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