Physical Measurement Laboratory researchers at NIST have devised an idea for determining the three-dimensional shape of features as small as 10-nm wide. The model-based method compares data from scanning electron microscope (SEM) images with stored entries in a library of 3-D shapes to find a match and to determine the shape of the sample. The work provides a powerful new way to characterize nanostructures.
The SEM is widely used in various fields of industry and science because it is one of the most versatile imaging and measurement instruments. The size and shape of nanometer-scale structures are important pieces of information to know especially for manufacturing integrated circuits (ICs) and nanoscale features. The SEM, with better than 1-nm resolution, provides information on these structures that is typically interpreted as 2-D images. But those images contain a wealth of information related to all three dimensions, and the PML scientists set out to capture it.
At the beginning of this work, there were two obstacles to achieving very high accuracy, one affecting the quality of measurements and the other the interpretation: (1) the image and measurement quality is degraded by drift of the sample and the electron beam, as even slight movements result in distorted images, and (2) the proper interpretation of SEM results requires an accurate, physics-based model of the relationship between the 3D sample geometry and the intensity of the signal used to acquire the images.
To surmount those obstacles, a team led by András E. Vladár of PML’s Semiconductor and Dimensional Metrology Division successfully developed a model-based measurement method that reconstructs the 3-D shape and for the first time successfully applied it to 10 nanometer scale structures. They have developed two software programs: a fast image acquisition method that is capable of compensating for the inevitable sample and electron beam drift; and a Monte Carlo simulation-based method to interpret the 2-D images in 3-D.
The first software, called ACCORD, works with 2-D Fourier transforms to piece together many rapidly acquired images, in much the same way that astronomers are able to capture images of stars without blurring or other distortions. The result is a single drift-free image, a much closer-to-true representation of the sample than any image provided by traditional methods.
Once a good quality image is pieced together, a Monte Carlo modeling software (JMONSEL), developed by John Villarrubia of PML, is used to generate a library of SEM waveforms for 3-D structures with shape parameters (e.g., widths, angles, radii of curvature) spanning a range of values around the expected ones. Narrow structures like the most recent work have 10-nm lines which place greater demands on the model because scattered electrons can emerge from several surfaces (e.g., left, right, and top) at the same time. After generating a library of SEM waveforms, the task is to identify any 3-D shapes with modeled images that fit the acquired image. The result can be rendered into a 3-D representation of the sample shape.
The application of these methods to SEM imaging and 3-D modeling at the 10 nm level, and the quality of the results, constitute a first-in-the-world achievement. The new method is so powerful that, in this simple case of an IC structure, a single top-down image can be sufficient to determine the 3-D shape along with nanometer-scale sample details.
The researchers tested their results against measurements from a transmission electron microscope (TEM) on 10-nm IC lines. The difference was less than a nanometer—as small as only a few atoms. The SEM results also matched well the results of critical dimension small angle x-ray scattering measurements.
“There is no single method in the world that can give you all the answers,” Vladár explains. “But, when two or three methods give you the same measurement result, your confidence in that result is much higher.”
Collaboration with engineers of Intel Corp. was instrumental to the study as they were able to provide NIST with suitable samples.
“We have developed a method that, in its current form, can be used by pretty much anyone who has a suitable scanning electron microscope,” says Vladár. Although this technique is at its beginnings, the results clearly demonstrate that 3-D SEM measurements at the nanometer level are an important addition to the existing methods, all of which are important for nanometer-level metrology.
PML researchers will further improve the technique by focusing on the improving the modeling software, which is not fast enough at this time.
“Currently, the bottleneck is the speed,” Vladár says. “Generating the modeled libraries can take a long time. The interpretation of the data—finding the best 3-D match—is also slow currently.”
Additional studies will explore ways of dealing with images taken from different angles, which will be necessary in the 3-D modeling of nanoparticles. This study used only top-down-view images. New methods will be needed to merge multiple views into a single, accurate 3-D representation of samples with structures not clearly visible from only one view.
Finally, they plan to explore the feasibility of using the technique to model feature sizes even smaller than 10 nm.
“We have high hopes that this method will work well in the 5- to 7-nm realm,” Vladár states. “We already have ideas on how we can push the technique further.
“This 3-D technique is expected to impact a wide variety of technologies, ranging from integrated circuit production to nanotechnology for 3-D characterization of nanostructures and nanoparticles, critical for catalytic and nanobio applications.”