Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Impact of fabrication errors and refractive index on multilevel diffractive lens performance

Abstract

Multilevel diffractive lenses (MDLs) have emerged as an alternative to both conventional diffractive optical elements (DOEs) and metalenses for applications ranging from imaging to holographic and immersive displays. Recent work has shown that by harnessing structural parametric optimization of DOEs, one can design MDLs to enable multiple functionalities like achromaticity, depth of focus, wide-angle imaging, etc. with great ease in fabrication. Therefore, it becomes critical to understand how fabrication errors still do affect the performance of MDLs and numerically evaluate the trade-off between efficiency and initial parameter selection, right at the onset of designing an MDL, i.e., even before putting it into fabrication. Here, we perform a statistical simulation-based study on MDLs (primarily operating in the THz regime) to analyse the impact of various fabrication imperfections (single and multiple) on the final structure as a function of the number of ring height levels. Furthermore, we also evaluate the performance of these same MDLs with the change in the refractive index of the constitutive material. We use focusing efficiency as the evaluation criterion in our numerical analysis; since it is the most fundamental property that can be used to compare and assess the performance of lenses (and MDLs) in general designed for any application with any specific functionality.

Introduction

There has been a significant interest in the scientific community in recent times to reduce the thickness and weight of lenses to enable miniature and compact optical systems1. Conventional refractive lens, which harness refraction to guide light, fails to satisfy both of this criterion, as it tends to be heavy and bulky owing to its increasing curvature with the increase in numerical aperture2. Unlike their refractive analogue, lenses, which exploit diffraction to guide incident light, have already been shown to be thin (thickness ~ 2λ) and lightweight. This ability to maintain a constant thickness is simply achieved by decreasing the local period of the diffractive optic3. To ensure constructive interference, each incident ray must now locally phase shift to compensate for the variation in its total optical path length to the focal plane. For conventional diffractive lenses, this is achieved by engineering the path traversed by the ray within the diffractive lens itself3,4.

In terms of performance, with respect to its refractive counterparts, traditional blazed, or diffractive lenses with almost optimal continuous phase distribution have already been shown to achieve 100% efficiency5. In principle, however, the analysis of such blazed gratings or diffractive lenses relies on the thin element approximation (TEA) which assumes no diffraction occur within the structure, i.e., it assumes that the grating will impose its structural shape on the incident beam wave-front. This is clearly not the case at high NA as diffraction occurs within the gratings with power being diverted to guided-mode resonances instead of the propagating modes6. In addition to this, conventional diffractive lenses also have poor broadband performance due to significant chromatic aberrations. The first problem is mitigated with parametric optimization of constituent elements of the diffractive lens, and the second problem is avoided to some extent through harmonic phase shifts7 and by using higher orders of diffraction8. However, a harmonic diffractive lens (or multi-order diffractive lens) is, in principle, a hybrid refractive-diffractive lens. Such a refractive-diffractive based approach is limited only to a discrete number of operating wavelengths. Alternate methods to tackle the problems mentioned above involved harnessing appropriately designed pure phase masks to mimic the functionality of an achromatic lens or utilizing an axilens to achieve broadband achromatic focusing9,10. From such a perspective, multilevel diffractive lenses (MDLs), as shown in Fig. 1a; especially broadband MDLs, are fundamentally very different as they can be designed using the same principle of parametric optimization of the constituent elements; but operate across a continuous bandwidth at both low and high numerical apertures with high efficiency.

Figure 1
figure1

(a) Schematic of a THz Multilevel Diffractive Lens (MDL) (adapted from Ref.3). Characterization of fabrication error in terms of (b) error in ring height between the optimized height and the fabricated height and (c) error in ring width between the simulated width and the fabricated width of the final MDL structure.

Various research groups have designed achromatic MDLs via careful parametric optimization of the lens surface topography in the visible3,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25, NIR26, SWIR27, LWIR28, THz29,30 and microwave31 bands. In fact, we have recently shown the design of a single achromatic MDL with a focal length of 18 mm and aperture of ~ 1 mm, operating across a continuous spectrum of wavelengths from 450 nm to 15 μm32,33. We hypothesize that the achievable bandwidth with MDLs is “unlimited” for practical purposes and is only constrained by the quantum efficiency of the image sensor. Furthermore, we also showcased MDLs with a Field of View (FOV) up to 50˚ for wide-angle imaging26 as well as MDLs with a Depth of Focus (DOF) imaging of up to 6 m in the NIR34. Apart from this, MDLs have also been utilized to create broadband holograms enabling multi-plane image projection35 and in holographic displays for AR/VR applications36. Computational imaging with single and multi-aperture MDLs have also been showcased37,38,39 along with its potential for applications in photovoltaics40.

Because of this stupendous progress made using MDLs, a common concern amongst most of the work in this field is the fact that there is still a discrepancy among simulated and experimental efficiency values. This ultimately affects the system performance. We acknowledge the fact that researchers indeed have made efforts to justify these discrepancies by resorting to fabrication errors, as is associated with a non-industrial grade fabrication facility. Yet still, we firmly believe that it would be of immense help to designers to understand how (and in which cases) fabrication errors do affect the performance of MDLs at the initial stage (i.e., even before putting them into fabrication) and numerically evaluate the trade-off between efficiency and initial parameter selection. This will not only help to make a judicious decision while choosing the initial parameters when designing a MDL, keeping in mind the fabrication capability at the corresponding location, but will enable one to predict (at least provide the ballpark estimates of) efficiency (with a certain degree of accuracy) even if a certain MDL is designed and tested out.

To facilitate with this process of providing a suitable metric, in this work, we seek to perform a statistical simulation-based study on MDLs (primarily operating in the THz regime) to analyse the impact of various imperfections (single and multiple) on the final structure as a function of the number of ring height levels. Figure 1b,c depict the two major cases, i.e., error in ring height and ring width, which is often commonly encountered in the fabrication of an MDL. Both these cases have been studied individually. Furthermore, an amalgamation of both errors presented simultaneously in the final MDL structure is analysed, to paint a more practical picture for narrowband and broadband operation. Furthermore, we also evaluate the performance of the same MDLs with variations in the refractive index. An aspect from which error (primarily at the modelling stage) can also occur (e.g. due to variations in density when 3D printing) and propagate during the optimization stage. It is essential to study the variation of performance with respect to material dispersion because most often, it is difficult to ascertain the exact optical constants (refractive index and absorption coefficient) of the material that is going to be used in the manufacturing process. In that case, MDL designers are left to rely upon values of materials already provided in the pre-existing literature while doing the design. In addition to this, many groups or fabrication facilities use modified hybrids of the same standard material, to which other groups do not have access too. A study pertaining to this specific problem is done in41 pertaining to 3D printable materials used in manufacturing THz diffractive optical elements at a common fabrication facility versus the author's own laboratory. Finally, even if the design is done with a specific material; to have an idea of how well the same design may perform with a different material with similar properties will help one to gauge the robustness of the designed MDL structure.

The rationale behind the choice of focusing efficiency as the evaluation metric stems from the fact that focusing efficiency is the most basic criterion, which guides the field of lens design for any desired application with any tailored functionality. Other metrics like EDOF, FOV magnification, aberrations can also be included; but these are often not the principal criterion that one looks at when designing an optical element. The choice of performing this study on MDLs primarily operating the THz regime is due to two main reasons42,43,44,45. First, the ease in modelling larger unit cells (“rings”) leads to the total number of elements in the entire structure to be small and tractable; hence, it is easy to capture the trade-off in efficiency with faster simulations and develop accurate prediction metrics. Therefore, the THz regime is an ideal frequency band to capture the real significance of this work44,45. Second, since the THz band lies in almost the centre of the electromagnetic spectrum, hence the metrics developed in this paper can be scaled up or down to both the microwave as well as optical ranges without any loss of generality. One can very well argue here that since the current study is specifically dealing with MDLs operating in the THz regime, which could be fabricated by 3D printing, that at visible and infrared wavelengths, where the MDLs are fabricated using other approaches, e.g., grayscale lithography or multi-step lithography, other error sources like misalignment and feature rounding5 apart from the ones mentioned here will be significant. These are effects that indeed should also be analyzed and that are dependent on the particularities of the MDL fabrication processes. However, as shown, e.g., in17,18,19,27,28,32,33, the error in MDL’s ring width and height, as analyzed in this study, still can contribute as a significant source of error to a great extent towards the reduction in MDL efficiency at these wavelengths. At optical wavelengths, the errors in height and width herein analyzed are referred to as “misetch” and “feature size error,” respectively5.

Finally, we would also like to highlight some limitations of the current study. First, the work, as reported here, only applies to MDLs operating under low NA (NA ≤ 0.3). At this point, we are not truly aware of how the error sensitivity varies for Mid- (NA > 0.3 and NA ≤ 0.6) to High-NA (NA > 0.6) MDLs. This is because for Mid- to High-NA MDLs, due to “shadowing effect,” one would be required to perform full-wave simulations instead of simply relying on scalar diffraction theory for accurate estimates. Second, the analysis (to be specific, the scalar model) in this study, neglects reflection losses at the interface between PLA and air. This, however, is not expected to significantly alter the overall outcome of the analysis, as discussed in previous works, e.g.27,28,32,33. Third, the study is limited to the sources of error already mentioned, i.e., error in ring width and ring height. In order to provide even more accurate predictions, one would be typically required to incorporate additional error and modeling constraints on top of this existing framework. To re-iterate the same statement made earlier, in this work, our focus is to develop a simple metric which will enable one to predict (at least provide the ballpark estimates of) efficiency (with a certain degree of accuracy).

Results and discussion

The rotationally symmetric MDLs were designed via a non-linear search method, namely Gradient Descent Assisted Binary Search (GDABS) algorithm coupled with scalar diffraction theory under Fresnel approximation. Full description of the design process is already explained in29,30. Therefore, we choose to omit an in-depth discussion of the same here. However, to surmise, each of the designed MDL consists of concentric rings of width equal to a pre-defined value with the ultimate objective of maximizing the focusing efficiency across its bandwidth of operation. Radial symmetry of these structures is exploited to speed up the computation and reduce the optimization time. For our current study, we designed five different MDLs for both narrowband (0.2 THz) as well as broadband (0.1 THz to 0.3 THz) operation. Therefore, in total, ten different MDLs were designed. The ring height distribution and the relevant geometric design parameters are provided in the Supplementary Information.

Speaking of geometric design parameters, the design values were chosen, keeping in mind the fabrication constraints associated with any off-the-shelf hobbyist 3D printer available in the market. To be specific, the parameters were chosen, keeping in mind the lowest vertical and lateral resolution possible with the 3D printers available from Cura Ultimaker, Dremel DigiLab, MakerBot Replicator, and Formlabs range of 3D printers. Knowledge of vertical and lateral resolution possible with this range of 3D printers is of prime importance because vertical resolution dictates the amount of error in pixel height, whereas lateral resolution dictates the error in pixel width of the fabricated MDL. Each MDL was designed to be 24 mm in diameter. The MDLs designed to operate at a single frequency of 0.2 THz comprised of multilevel concentric rings having a maximum thickness (hmax) = 1.6 mm whereas the broadband MDLs have a maximum thickness (hmax) = 3.2 mm. Each ring of the designed MDLs has a width (w) = 0.4 mm. Therefore, the total number of such rings within each MDL = 30. For the purpose of this study, the number of distinct ring height levels were varied from P = [8, 16, 32, 64, 128] which dictated the minimum thickness (hmin) = [0.2 mm, 0.1 mm, 0.05 mm, 0.025 mm, 0.0125 mm] for narrowband MDLs and (hmin) = [0.4 mm, 0.2 mm, 0.1 mm, 0.05 mm, 0.025 mm] for broadband MDLs. The focal length was fixed at f = 50 mm, which translates to a numerical aperture (NA) of 0.2334. The material chosen for the design of the MDLs was PLA, and its dispersion values (which was inputted into the optimization algorithm) are provided in the Supplementary Information. The reason behind choosing PLA is due to its widespread availability as a common 3D printable material and its negligible loss within the frequency of operation of the designed MDLs. However, other materials could also have been used.

A statistical standard deviation-based simulation error model like in17,32,33 was undertaken to study the impact of fabrication error (ring height and ring width) due to the following reasons: One, the standard deviation is always considered in relation to the mean (or average) since the mean by itself is usually not very useful. Two, the standard deviation is the best measure of variation since it is based on every item in the distribution46. Third, the standard deviation is less affected by fluctuations of sampling than most other measures of dispersion. Fourth, the standard deviation is most prominently used in carrying out further statistical studies like computing skewness, correlation, etc.47. Therefore, the use of a standard deviation-based error model seems justified. In this study, we varied the ring height (Δherr) as well as the ring width (Δwerr) of the optimized MDLs first individually and then as an amalgamation of both and re-calculated the focusing efficiency. The error terms for ring heights and ring widths were embedded in the pupil function \(T\left( {x,y,\lambda } \right)\) of the MDL which can be written as:

$$T\left( {x,y,{ }\lambda } \right) = { }1 + { }\mathop \sum \limits_{m} circ\left( {r - m\Delta_{w} } \right)\left( {e^{{ia\left( \lambda \right)\Delta_{h} p_{m} }} - 1} \right),$$
(1)

where \({\text{m}} \in - \left[ {\frac{l}{2},\frac{l}{2}} \right]\) and l is the diameter of the MDL, r is the radius, a(λ) is equal to \(k\left[ {\left\{ {{\text{n}}_{{\uplambda }} + i{\text{K}}_{{\uplambda }} } \right\} - 1} \right]\), \(\Delta_{h} = \frac{{h_{max} }}{P}\) and finally \(p_{m} \in \left[ {0,{ }P} \right]\). The error term Δherr and Δwerr was added to Eq. (1) to yield a very similar expression,

$$T\left( {x,y,{ }\lambda } \right) = { }1 + { }\mathop \sum \limits_{m} circ\left( {r - m(\Delta_{w} + \Delta_{werr} } \right))\left( {e^{{ia\left( \lambda \right)\left( {\Delta_{h} + \Delta_{herr} } \right)p_{m} }} - 1} \right).$$
(2)

Mathematically, Δherr(m) can be written as,

$$\Delta_{herr} = { }\frac{1}{{\sigma \sqrt {2\pi } }}e^{{ - \frac{{\left( {\Delta_{h} - \mu } \right)^{2} }}{{2\sigma^{2} }}}} .$$
(3)

Now for a normal (gaussian) distribution, the mean (µ) is equal to 0, which simplifies Eq. (3) to be a function of only standard deviation (σ) i.e.

$$\Delta_{herr} = { }\frac{1}{{\sigma \sqrt {2\pi } }}e^{{ - \frac{{\left( {\Delta_{h} } \right)^{2} }}{{2\sigma^{2} }}}} .$$
(4)

Similarly, one can derive the same expression for the Δwerr(m), whose expression can be written as,

$$\Delta_{werr} = { }\frac{1}{{\sigma \sqrt {2\pi } }}e^{{ - \frac{{\left( {\Delta_{w} } \right)^{2} }}{{2\sigma^{2} }}}} .$$
(5)

Once the error terms were incorporated into the pupil function, the beam propagation from the lens plane to the focal plane was carried out using the Fresnel-Kirchoff diffraction integral shown below:

$$U\left( {x^{\prime},y^{\prime},\lambda ,f} \right) = { }\frac{{e^{ikf} }}{i\lambda f}{\iint }T\left( {x,y,\lambda } \right).e^{{i\frac{k}{2f}\left[ {\left( {x - x^{\prime}} \right)^{2} + { }\left( {y - y^{\prime}} \right)^{2} } \right]}} dxdy,$$
(6)

where f is the focal length, k equals \(\frac{2\pi }{\lambda },(x,{\text{y}})\) are coordinates in the lens plane, (\(x^{\prime},y^{\prime}\)) are coordinates in the focal plane and \(T\left( {x,y,\lambda } \right)\) is the pupil function of the MDL. We assume that only the light that falls inside the MDL's active area is diffracted, and whatever falls outside this area propagates through unaltered. The intensity in the focal plane is given by:

$$I\left( {x^{\prime},y^{\prime},\lambda ,f} \right) = { }\left| {U\left( {x^{\prime},y^{\prime},\lambda ,f} \right)} \right|^{2} .$$
(7)

Finally, the focusing efficiency can be expressed as:

$$\Delta = { }\frac{{\mathop \sum \nolimits_{{j = { }1}}^{{j = { }m}} \frac{{\mathop \int \nolimits_{{ - \frac{{3{*}w_{xj} }}{2}}}^{{\frac{{3w_{xj} }}{2}}} \mathop \int \nolimits_{{ - \frac{{3{*}w_{yj} }}{2}}}^{{\frac{{3w_{yj} }}{2}}} {\text{I}}_{f} \left( {x^{\prime},y^{\prime},\lambda_{j} } \right)}}{{\mathop \int \nolimits_{{ - \frac{x}{2}}}^{\frac{x}{2}} \mathop \int \nolimits_{{ - \frac{y}{2}}}^{{ - \frac{y}{2}}} {\text{I}}_{i} \left( {x,y,\lambda_{j} } \right)}}}}{m},$$
(8)

where m equals the number of wavelength samples, variables (\(w_{xj} ,w_{yj} )\) are the full width half maximum (FWHM) of the theoretical diffraction-limited PSF in both the x- and y-direction for the respective wavelength sample. In the numerator, \({\text{I}}_{f} \left( {x^{\prime},y^{\prime},\lambda_{j} } \right)\) is the intensity at the focal plane; whereas, in the denominator \({\text{I}}_{i} \left( {x,y,\lambda_{j} } \right)\) represents the intensity at the lens plane (rather total power impinging on the MDL). The fixed quantity \(\left( \frac{3}{2} \right)\) in the term \(\frac{{3w_{xj} }}{2}\) denotes that the optimization routine will try to maximize the intensity within a spot of diameter equal to 3 times the theoretical diffraction-limited FWHM of the PSF at the focal plane. For each number of distinct ring height value P, we recorded ten sets of observation data. From this observation data, we then proceeded to calculate the mean as well as the 90% confidence interval around this mean. We then plotted the same in Figs. 2 and 3.

Figure 2
figure2

Effect on average focusing efficiency due to a standard deviation-based error in ring height for (a) narrowband operation at 0.2 THz and (b) broadband operation from 0.1 THz to 0.3 THz. A similar approach is undertaken to characterize the impact due to a standard deviation-based error in ring width under (c) narrowband operation at 0.2 THz and (d) broadband operation from 0.1 THz to 0.3 THz.

Figure 3
figure3

Impact on average efficiency due to a standard deviation-based error in ring height for a fixed error in (a) width = ~ 250 µm under narrowband operation at 0.2 THz and (b) width = ~ 200 µm under broadband operation from 0.1 THz to 0.3 THz. Consequently, the impact due to a standard deviation-based error in ring width for a fixed error in (c) height = ~ 350 µm under narrowband operation at 0.2 THz and (d) height = ~ 250 µm under broadband operation from 0.1 THz to 0.3 THz.

Figure 2a,b depicts the impact on average focusing efficiency for the first fabrication error scenario, i.e., standard deviation-based error in ring height for the designed MDLs under narrowband (0.2 THz) and broadband operation (0.1 THz–0.3 THz) respectively. We computed the focusing efficiency of the MDLs as the power within a spot of diameter equal to 3 times the FWHM of the spot divided by the total power incident on the lens3. Later we averaged the individual focusing efficiencies over the total number of design frequencies. This is exactly what Eq. (8) is in mathematical notation. On similar lines, Fig. 2c,d portrays the impact on average focusing efficiency second fabrication error scenario, i.e., standard deviation-based error in ring width for the designed MDLs under both narrowband (0.2 THz) and broadband operation (0.1 THz to 0.3 THz) correspondingly. We would like to remind the readers that the terms “average focusing efficiency” and “average efficiency” are the same and will be used interchangeably in this discussion. Moreover, the term “average efficiency” for the narrowband MDL is just “efficiency” since the number of frequency samples in this case = 1. Moving ahead, we considered the standard deviation in the error of both ring height and width up to 500 µm because the fall in efficiency for all the plots is ~ 50%, barring only the first case for narrowband MDLs operating at a single frequency.

Some general observations from the plots in Fig. 2 are as follows: The MDLs designed to operate at only a single frequency are very resilient to errors in both ring height and width as compared to its broadband counterparts. This is easy to understand given the fact that the constraint of focusing a larger number of frequencies at a single point in the observation plane requires a higher degree of control by the diffractive structures, and hence a slight mismatch would significantly degrade its performance. An important corollary to the former statement is the fact that in general the average focusing efficiency of the structures irrespective of whether under narrowband or broadband operation, is higher with the increase in the number of ring height levels. There is a noticeable increase in average efficiency when the number of ring height levels increase from 8 to 64 levels. However, the increase in efficiency gets somewhat saturated for anything over 64 levels. The explanation for this can be attributed to the fact that at 64 levels, the surface topography of the MDL is almost continuous, i.e., resembles a blazed grating structure and hence, any increase in the number of height levels beyond 64 levels does not result in a steep rise in efficiency. This effect is like what is observed in conventional multilevel DOEs5.

The third important observation is that the effect of errors in the width of the designed MDLs is in general greater than the effect of error in height under both narrowband (0.2 THz) as well as broadband operation (0.1 THz to 0.3 THz). The reason for this behaviour, we believe is because only the ring height profile is optimized for the MDL structures with Δh = [0.2 mm, 0.1 mm, 0.05 mm, 0.025 mm, 0.0125 mm] for narrowband MDLs and Δh = [0.4 mm, 0.2 mm, 0.1 mm, 0.05 mm, 0.025 mm] for broadband MDLs with P = [8, 16, 32, 64,128]; whereas the width of each ring is kept constant at 0.4 mm during the entire optimization. Even if one assumes that the optimized MDL might converge to a solution where the height of two adjacent rings have the same value such that both the rings can now be considered as a single ring of 0.8 mm thickness, the differential width (Δw) still has a smaller degree of freedom in contrast to its height. A smaller degree of freedom here refers to the fact that the number of discrete width values which the ring width can assume during the optimization is smaller than the number of discrete height values which the ring height can assume. Therefore, as evidenced from Fig. 2, this ultimately leads to an optimized MDL structure, which is much more resilient to errors in height than in width. Finally, to quantify the results, for a 20% reduction in focusing efficiency, the narrowband MDLs require a ~ 350 µm error in ring height as compared to a ring width error of ~ 250 µm. For the broadband MDLs, the values are ~ 250 µm and ~ 200 µm in ring height and width, respectively. The “20% decrease in focusing efficiency” metric has been adopted from3, where it is seen that the change in the PSF plots is prominent for this value of decease in focusing efficiency.

A second set of ten MDL designs were also undertaken to understand the influences of fabrication error on other geometries generated by the algorithm (with the same design parameters as those discussed herein). The MDL pixel profiles and the corresponding error analysis plots, following the analysis in Figs. 2 and 3, are provided in the Supplementary Information. The trends in MDL sensitivity are consistent with the ones observed in the examples presented here. For the sake of completeness, exemplary PSFs corresponding to the plots in Figs. 2 and 3 are also provided in the Supplementary Information (for a number of height levels = 128) for the readers to gauge how the point spread functions (PSFs) deteriorate as errors are augmented. This will help one to quantify the basic imaging quality of an optical system.

We also analysed the relative error arising from the inner (central) and outer (periphery) rings of the MDL to investigate how sensitive is the performance of the structure to localized variations taking place only in certain regions of the MDL. For this, we choose to perform the same standard deviation based error in pixel heights analysis and its impact on the focussing efficiency, but now we divided the total number of rings (i.e., 30) within the MDL into two equal sections, i.e., inner and outer regions consisting of 15 rings each. The plots for the same are shown in Fig. S8 of the Supplementary Information. We performed this analysis on MDLs designed for both the narrowband (Fig. S8 (a,b)) as well as the broadband (Fig. S8 (c,d)) operation. There are two main key takeaways. First, the impact of error on efficiency is higher for the outer rings as compared to the inner rings. A qualitative 5%-10% relative error is observed across the plots for both narrowband as well as the broadband operation. This is in line as to what one can expect, for instance, for any DOE, where it becomes difficult to focus (diffract) light from the outer zones (due to larger spreading) in contrast to the central zones48,49. A more rigorous treatment of the same is provided in50. Second, the impact on focussing efficiency was higher for the broadband MDLs (~ 7–10%) in comparison to the narrowband MDLs (3–6%). This could be understood from the perspective that the challenge to achieve achromatic broadband focusing is much higher than focusing single frequencies.

Finally, we study the impact of change in the refractive index of the constitutive material on the average focusing efficiency of the MDL structures, again, at both a single frequency of 0.2 THz as well as a broadband regime from 0.1 THz to 0.3 THz. The respective plots for both these cases are depicted in Fig. 4a,b, respectively. A point of note here is that the absorption coefficient is very negligible in this frequency range, i.e., 0.1 THz to 0.3 THz, as is evidenced from the plot in Fig. S2 of the Supplementary Information. When the refractive index values were changed during this study, the term a(λ) in the pupil function \(T\left( {x,y,\lambda } \right)\) of the MDL in Eq. (2) was updated accordingly. The term a(λ) can be written as \(k\left[ {\left\{ {({\text{n}}_{{\uplambda }} + \Delta n) + i{\text{K}}_{{\uplambda }} } \right\} - 1} \right]\) where \(\Delta n{ } \in \left[ { - 0.2,{ }0.2} \right]\).

Figure 4
figure4

Effect on average focusing efficiency of the MDL structures with the change in the refractive index under (a) narrowband operation at 0.2 THz and (b) broadband operation from 0.1 THz to 0.3 THz, respectively.

From Fig. 4b it is observed that the fall in the average focusing efficiency is steeper for the broadband MDLs in contrast to the narrowband MDLs in Fig. 4b. The narrowband MDLs are also more resilient to the change in refractive index too. This, again, can be attributed to the “potential challenge” in handling more design constraints with accuracy. Another important observation that is critical here is the fact that for the change in refractive index (\({\text{i.e}}.\;{ }\Delta n{ } \in \left[ { - 0.2,{ }0.2} \right]\)), the MDL solutions for both narrowband and broadband become equally unstable. This tells us that irrespective of the bandwidth or the number of ring height levels, the optimized structures will just not work if the dispersion values are way off than what was used during the design stage.

Conclusion

In conclusion, we have performed a statistical simulation-based study on MDLs designed to operate in the THz regime to analyse the impact of various fabrication imperfections in the final structure as a function of the number of ring height levels. In addition to this, we also analysed the performance of these same MDLs with the change in the refractive index. We firmly believe that this work provides important information to MDL designers and researchers alike to compare and assess the performance of MDLs as well as offer fundamental insight into designing highly efficient and robust MDLs with given fabrication constraint.

References

  1. 1.

    Goodman, J. W. Introduction to Fourier Optics (Roberts & Company, Greenwood Village, 2005).

    Google Scholar 

  2. 2.

    Lalanne, P. & Chavel, P. Metalenses at visible wavelengths: past, present, perspectives. Laser Photonics Rev. 11, 1600295 (2007).

    Google Scholar 

  3. 3.

    Banerji, S. et al. Imaging with flat optics: metalenses or diffractive lenses?. Optica 6(6), 805 (2019).

    ADS  CAS  Google Scholar 

  4. 4.

    Liang, H. et al. High performance metalenses: numerical aperture, aberrations, chromaticity, and trade-offs. Optica 6(12), 1461–1470 (2019).

    ADS  Google Scholar 

  5. 5.

    Shiono, T., Hamamoto, T. & Takahara, K. High-efficiency blazed diffractive optical elements for the violet wavelength fabricated by of electron-beam lithography. Appl. Opt. 41, 2390–2393 (2002).

    ADS  PubMed  Google Scholar 

  6. 6.

    Schmidt, S. et al. Wave-optical modeling beyond the thin-element-approximation. Opt. Express 24, 30188–30200 (2016).

    ADS  CAS  PubMed  Google Scholar 

  7. 7.

    Sweeney, D. W. & Sommargren, G. E. Harmonic diffractive lenses. Appl. Opt. 34, 2469–2475 (1995).

    ADS  CAS  PubMed  Google Scholar 

  8. 8.

    Faklis, D. & Morris, G. M. Spectral properties of multiorder diffractive lenses. Appl. Opt. 34, 2462–2468 (1995).

    ADS  CAS  PubMed  Google Scholar 

  9. 9.

    Wang, S., Zhou, C., Liu, Z. & Li, H. Design and analysis of broadband diffractive optical element for achromatic focusing. In Proceedings of SPIE, Vol. 10022, 100221J (2016).

  10. 10.

    Chen, Y., Britton, W. A. & Negro, L. D. Phase-modulated axilenses for infrared multiband spectroscopy. Opt. Lett. 45, 2371–2374 (2020).

    ADS  PubMed  Google Scholar 

  11. 11.

    Park, J.H., Park, J., Lee, K. & Park, Y. disordered optics: exploiting multiple light scattering and wavefront shaping for nonconventional optical elements. Adv. Mater. 1903457 (2019).

  12. 12.

    Zhan, A. et al. Low-contrast dielectric metasurface optics. ACS Photonics 3(2), 209–214 (2016).

    CAS  Google Scholar 

  13. 13.

    Reshef, O., et al. Towards ultra-thin imaging systems: an optic that replaces space. arXiv preprint arXiv:2002.06791 (2020).

  14. 14.

    Meem, M. et al. Large-area, high-numerical-aperture multi-level diffractive lens via inverse design. Optica 7(3), 252–253 (2020).

    ADS  Google Scholar 

  15. 15.

    Werdehausen, D., Burger, S., Staude, I., Pertsch, T. & Decker, M. Dispersion-engineered nanocomposites enable achromatic diffractive optical elements. Optica 6(8), 1031–1038 (2019).

    ADS  CAS  Google Scholar 

  16. 16.

    Werdehausen, D., Burger, S., Staude, I., Pertsch, T. & Decker, M. General design formalism for highly efficient flat optics for broadband applications. Opt. Exp. 28(5), 6452–6468 (2020).

    ADS  Google Scholar 

  17. 17.

    Wang, P., Mohammad, N. & Menon, R. Chromatic-aberration-corrected diffractive lenses for ultra-broadband focusing. Sci. Rep. 6, 21545 (2016).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Mohammad, N., Meem, M., Shen, B., Wang, P. & Menon, R. Broadband imaging with one planar diffractive lens. Sci. Rep. 8, 2799 (2018).

    ADS  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Meem, M., Majumder, A. & Menon, R. Full-color video and still imaging using two flat lenses. Opt. Exp. 26(21), 26866–26871 (2018).

    ADS  Google Scholar 

  20. 20.

    Doskolovich, L. L., Bezus, E. A. E., Bykov, D. A., Skidanov, R. V. E. & Kazanskii, N. L. V. Calculation of a diffractive lens having a fixed focal position at several prescribed wavelengths. Comput. Opt. 43(6), 946–955 (2019).

    ADS  Google Scholar 

  21. 21.

    Skidanov, R. V. et al. Experiment with a diffractive lens with a fixed focus position at several given wavelengths. Comput. Opt. 44(1), 946–955 (2019).

    Google Scholar 

  22. 22.

    Doskolovich, L. L. et al. Design of diffractive lenses operating at several wavelengths. Opt. Exp. 28, 11705–11720 (2020).

    ADS  Google Scholar 

  23. 23.

    Zhang, B., Piao, M. & Cui, Q. Achromatic annular folded lens with reflective-diffractive optics. Opt. Exp. 27(22), 32337–32348 (2019).

    ADS  CAS  Google Scholar 

  24. 24.

    Luo, Y. et al. Design of task-specific optical systems using broadband diffractive neural networks. Light Sci. Appl. 8(1), 1–14 (2019).

    CAS  Google Scholar 

  25. 25.

    Wirth, J. H., Watnik, A. T. & Swartzlander, G. A. Jr. Half-ring point spread functions. Opt. Lett. 45(8), 2179–2182 (2020).

    PubMed  Google Scholar 

  26. 26.

    Banerji, S. et al. Ultra-thin near infrared camera enabled by a flat multi-level diffractive lens. Opt. Lett. 44(22), 5450–5452 (2019).

    ADS  CAS  PubMed  Google Scholar 

  27. 27.

    Banerji, S. et al. Single flat lens enabling imaging in the short-wave infra-red (SWIR) band. OSA Contin. 2(10), 2968–2974 (2019).

    CAS  Google Scholar 

  28. 28.

    Meem, M. et al. Broadband lightweight flat lenses for long-wave infrared imaging. Proc. Natl. Acad. Sci. 116(43), 21375–21378 (2019).

    ADS  CAS  PubMed  Google Scholar 

  29. 29.

    Banerji, S. & Sensale-Rodriguez, B. A computational design framework for efficient, fabrication error-tolerant, planar THz diffractive optical elements. Sci. Rep. 9, 5801 (2019).

    ADS  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Banerji, S. & Sensale-Rodriguez, B. 3D-printed diffractive terahertz optical elements through computational design. In Micro-and Nanotechnology Sensors, Systems, and Applications XI, Vol. 10982, 109822X. International Society for Optics and Photonics (2019).

  31. 31.

    Yildirim, B. K., Bor, E., Kurt, H. & Turduev, M. A broadband polarization-insensitive diffractive lens design for subwavelength focusing of light. In 2019 21st International Conference on Transparent Optical Networks (ICTON) 1–4. IEEE (2019).

  32. 32.

    Banerji, S., Meem, M., Majumder, A., Sensale-Rodriguez, B. & Menon, R. Imaging over an unlimited bandwidth with a single diffractive surface. arXiv:1907.06251 [physics.optics] (2019).

  33. 33.

    Meem, M., et al. Imaging from the Visible to the Longwave Infrared wavelengths via an inverse-designed flat lens. arXiv:2001.03684 [physics.optics] (2020).

  34. 34.

    Banerji, S., Meem, M., Majumder, A., Sensale-Rodriguez, B. & Menon, R. Extreme-depth-of-focus imaging with a flat lens. Optica 7(3), 214–217 (2020).

    ADS  Google Scholar 

  35. 35.

    Meem, M., Majumder, A. & Menon, R. Multi-plane, multi-band image projection via broadband diffractive optics. arXiv preprint arXiv:1901.05943 (2019).

  36. 36.

    Zhou, F., Hua, J., Shi, J., Qiao, W. & Chen, L. Pixelated blazed gratings for high brightness multiview holographic 3D display. IEEE Photonics Technol. Lett. 32(5), 283–286 (2020).

    ADS  Google Scholar 

  37. 37.

    Nikonorov, A. V. et al. Image restoration in diffractive optical systems using deep learning and deconvolution. Comp. Opt. 41(6), 875–887 (2017).

    Google Scholar 

  38. 38.

    Peng, Y., Fu, Q., Heide, F. & Heidrich, W. The diffractive achromat full spectrum computational imaging with diffractive optics. In SIGGRAPH ASIA 2016 Virtual Reality meets Physical Reality: Modelling and Simulating Virtual Humans and Environments 1–2 (2016).

  39. 39.

    Nikonorov, A., et al. Deep learning-based imaging using single-lens and multi-aperture diffractive optical systems. In Proceedings of the IEEE International Conference on Computer Vision Workshops (2019).

  40. 40.

    Yolalmaz, A. & Yüce, E. Angle-independent diffractive optical elements for efficient solar energy conversion. In Photonics for Solar Energy Systems VIII, Vol. 11366, 113660Q. International Society for Optics and Photonics (2020).

  41. 41.

    Squires, A. D. & Lewis, R. A. Feasibility and characterization of common and exotic filaments for use in 3D printed terahertz devices. J. Infrared Millim. Terahertz Waves 39(7), 614–635 (2018).

    Google Scholar 

  42. 42.

    Minin, I. V. & Minin, O. V. Diffractional Optics of Millimetre Waves (CRC Press, Boca Raton, 2004).

    Google Scholar 

  43. 43.

    Siemion, A. Terahertz diffractive optics—smart control over radiation. J. Infrared Millim. Terahertz Waves 40(5), 477–499 (2019).

    Google Scholar 

  44. 44.

    Minkevičius, L. et al. Compact diffractive optics for THz imaging. Lith. J. Phys. 58(1), 99–107 (2018).

    Google Scholar 

  45. 45.

    Surma, M., Ducin, I., Sypek, M., Zagrajek, P. & Siemion, A. Optimization of THz diffractive optical elements thickness. Photonics Lett. Pol. 10(4), 115–117 (2018).

    CAS  Google Scholar 

  46. 46.

    Wan, X., Wang, W., Liu, J. & Tong, T. Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range. BMC Med. Res. Methodol. 14(1), 135 (2014).

    PubMed  PubMed Central  Google Scholar 

  47. 47.

    Altman, D. G. & Bland, J. M. Standard deviations and standard errors. BMJ 331(7521), 903 (2005).

    PubMed  PubMed Central  Google Scholar 

  48. 48.

    Farn, M. W. & Goodman, J. W. Effect of VLSI fabrication errors on kinoform efficiency. In Computer and Optically Formed Holographic Optics, Vol. 1211, 125–136 (1990).

  49. 49.

    Ferstl, M., Kuhlow, B. & Pawlowski, E. Effect of fabrication errors on multilevel Fresnel zone lenses. Opt. Eng. 33(4), 1229–1236 (1994).

    ADS  Google Scholar 

  50. 50.

    Cole, H. J. & Pittman, W.C. Conference on Binary Optics: An Opportunity for Technical Exchange, Vol. 3227. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program (1993).

Download references

Acknowledgements

This work was primarily supported by the NSF awards: ECCS # 1936729 and MRI #1828480. This work was also partially supported by the AFOSR award FA9550-18-1-0332.

Author information

Affiliations

Authors

Contributions

S.B. and B.S.R. conceived and designed this work. S.B. performed the lens modeling and optimization. J.C. measured the THz properties of PLA employed in the simulations. S.B. and B.S.R. analyzed the data and wrote the paper.

Corresponding author

Correspondence to Berardi Sensale-Rodriguez.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Banerji, S., Cooke, J. & Sensale-Rodriguez, B. Impact of fabrication errors and refractive index on multilevel diffractive lens performance. Sci Rep 10, 14608 (2020). https://doi.org/10.1038/s41598-020-71480-2

Download citation

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing