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Deep Learning To Classify And Establish Structure Property Predictions With PeakForce QNM Atomic Force Microscopy


Machine learning and specifically, deep learning, is a powerful tool to establish the presence (or absence) of microstructure correlations to bulk properties with its ability to flesh out relationships and trends that are difficult to establish otherwise. This application note discusses the use of deep learning tools, to explore AFM phase and PeakForce Quantitative Nanomechanics (QNM) im... » read more

Advantages Of Measuring Surface Roughness With White Light Interferometry


The concept of measuring surface roughness originated nearly a century ago as a means to prevent uncertainty and disputes between manufacturers and buyers. Now, it has become a common identifier used throughout industry for validating manufacturing processes, confirming adherence to both internal and regulatory specifications, and guaranteeing quality and performance of end products. Subjective... » read more

Atomic Force Microscopy Covers The Landscape Of Polymer Characterization


"Materials scientists designing a polymer-based material for a specific application must analyze how and why all these factors come together to impact the final product. Understanding the structure and properties at the microscopic level is critical to a complete understanding of the material. “Everybody wants to make their materials perform better at the macroscale,” says Bede Pittenger, a... » read more

Extracting Intrinsic Mechanical Properties Of Thin Low-Dielectric Constant Materials With iTF Analysis


This white paper focuses on the optimization and use of Bruker’s iTF software package for the extraction of intrinsic (substrate independent) mechanical properties, particularly for thin, low-k materials. These considerations are split into two main parts: Measurement procedure (Section II) and iTF execution (Section III). The former outlines important aspects of acquiring proper experimental... » read more

A Guide To FT‑NIR Spectroscopy In The Chemical Lab


Quality control in the chemical and petrochemical industry is a complex task. Often the many different parameters need to be analyzed using a wide variety of instruments and complex workflows. Timing is also very important — the production team needs results within minutes, not hours. FT-NIR can help you simplify analysis routines in the lab. Often, many different parameters can be analyzed w... » read more

Residual Stress With EIGER2 R 500K


Many manufacturing processes leave residual stresses which can affect the performance of manufactured components. Compressive stress can be engineered into a metal coating to resist crack propagation, while tensile stress can be exploited to enhance conductivity in semiconductors. Strained materials exhibit changes in atomic spacing which can be detected by X-ray diffraction (XRD) and related t... » read more

Characterization Of CMP Processes With White Light Interferometry


Faster computer and electronic processors require smaller features for integrated circuits (IC), which in turn require smaller and smoother substrate surfaces. Chemical mechanical polishing (CMP) has become one of the most critical semiconductor fabrication technologies because it offers a superior means of removing unwanted topography in interlevel dielectric layers and achieving sufficient pl... » read more

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