Classification and Localization of Semiconductor Defect Classes in Aggressive Pitches (imec, Screen)


A new technical paper titled "An Evaluation of Continual Learning for Advanced Node Semiconductor Defect Inspection" was published by Imec and SCREEN SPE Germany. Abstract "Deep learning-based semiconductor defect inspection has gained traction in recent years, offering a powerful and versatile approach that provides high accuracy, adaptability, and efficiency in detecting and classifying... » read more

Metrology Analysis Tool For Photolithography Process Characterization At Advanced Nodes


Continued scaling of integrated circuits to smaller dimensions is still a viable way to increase compute power, achieve higher memory cell density, or reduce power consumption. These days, chip makers are using single-digit nanometer figures or even Angstrom to label their manufacturing technology nodes, which are associated with the size of features patterned during the lithography process. ... » read more

High-NA EUVL: Automated Defect Inspection Based on SEMI-SuperYOLO-NAS


A new technical paper titled "Towards Improved Semiconductor Defect Inspection for high-NA EUVL based on SEMI-SuperYOLO-NAS" was published by researchers at KU Leuven, imec, Ghent University, and SCREEN SPE. Abstract "Due to potential pitch reduction, the semiconductor industry is adopting High-NA EUVL technology. However, its low depth of focus presents challenges for High Volume Manufac... » read more

Streamlining Failure Analysis Of Chips


Experts at the Table: Semiconductor Engineering sat down to discuss how increasing complexity in semiconductor and packaging technology is driving shifts in failure analysis methods, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; Mike McIntyre, director of product management in the Enterprise Business Unit at Onto Innovation; Kamran Hak... » read more

Latest Discoveries in the Mechanics of 2D Materials


A new technical paper titled "Recent advances in the mechanics of 2D materials" was published by researchers at McGill University, University of Science and Technology of China, and University of Illinois. "We review significant advances in the understanding of the elastic properties, in-plane failures, fatigue performance, interfacial shear/friction, and adhesion behavior of 2D materials. I... » read more

Measuring 3D Sidewall Topography & LER for Photoresist Patterns Using Tip-Tilting AFM Technology


A new technical paper titled "Enhancing the precision of 3D sidewall measurements of photoresist using atomic force microscopy with a tip-tilting technique" by researchers at National Metrology Institute of Japan (NMIJ) and National Institute of Advanced Industrial Science and Technology (AIST). "We have developed a technique for measuring the sidewall of the resist pattern using atomic for... » read more

Quantification Of Steels And Alloys Using A Dual Source Multidetector System On SEM


The accurate and precise analysis of steels and alloys is essential for understanding their mechanical and thermal properties. Such materials often have a wide range of elements at various concentrations down to trace ppm levels. Accordingly, it is not possible to determine the concentrations of all elements with a standard scanning electron microscope (SEM) and an energy dispersive spectromete... » read more

Nanosheet FETs Drive Changes In Metrology And Inspection


In the Moore’s Law world, it has become a truism that smaller nodes lead to larger problems. As fabs turn to nanosheet transistors, it is becoming increasingly challenging to detect line-edge roughness and other defects due to the depths and opacities of these and other multi-layered structures. As a result, metrology is taking even more of a hybrid approach, with some well-known tools moving... » read more

Improving Yield With Machine Learning


Machine learning is becoming increasingly valuable in semiconductor manufacturing, where it is being used to improve yield and throughput. This is especially important in process control, where data sets are noisy. Neural networks can identify patterns that exceed human capability, or perform classification faster. Consequently, they are being deployed across a variety of manufacturing proce... » read more

Pushing the limits of EUV mask repair: addressing sub-10 nm defects with the next generation e-beam-based mask repair tool


Abstract "Mask repair is an essential step in the manufacturing process of extreme ultraviolet (EUV) masks. Its key challenge is to continuously improve resolution and control to enable the repair of the ever-shrinking feature sizes on mask along the EUV roadmap. The state-of-the-art mask repair method is gas-assisted electron-beam (e-beam) lithography also referred to as focused electron-beam... » read more

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