Laser Wavelength Selection In Raman


Laser wavelength selection, a critical determinant of accuracy and data quality, is guided by factors such as resonance, fluorescence, and sample absorption. Ensuring the correct laser wavelength leads to optimal excitation and signal strength, facilitating precise and informative analysis. Luminous evolution In the early days of Raman spectroscopy, light sources like arc lamps and incan... » read more

Using OCD To Measure Trench Structures In SiC Power Devices


You don’t have to be a dedicated follower of the transportation industry to know it is in the early stages of a significant transition, away from the rumbling internal combustion engine to the quiet days of electric vehicles. The signs of this transition are right there on the streets in the form of electric-powered buses, bikes and cars. The road to our electric future is before us, but we w... » read more

Inspection, Metrology Issues In Advanced Packages


Experts at the Table: Semiconductor Engineering sat down to talk about how to inspect and measure smaller features across large areas in advanced packaging, with Frank Chen, director of applications and product management at Bruker Nano Surfaces & Metrology; John Hoffman, computer vision engineering manager at Nordson Test & Measurement; and Jiangtao Hu, senior technology director at O... » read more

Using FTIR To Improve SiC Power Device Performance


The figures alone are impressive: SiC power devices are experiencing an annual average growth rate approaching 34% through 2027, according to the Yole Group. However, the potential for this amongst other compound semiconductor-based power devices such as gallium nitride (GaN) to change the world around us is even more impressive. Thanks to the role that SiC-based devices play in the increase... » read more

Closing The Test And Metrology Gap In 3D-IC Packages


The industry is investing in more precise and productive inspection and testing to enable advanced packages and eventually, 3D ICs. The next generations of aerospace, automotive, smartphone, and wearable tech most likely will be powered by multiple layers of intricately connected silicon, a stark departure from the planar landscapes of traditional integrated circuits. These 3D-ICs, compos... » read more

New Insights Into IC Process Defectivity


Finding critical defects in manufacturing is becoming more difficult due to tighter design margins, new processes, and shorter process windows. Process marginality and parametric outliers used to be problematic at each new node, but now they are persistent problems at several nodes and in advanced packaging, where there may be a mix of different technologies. In addition, there are more proc... » read more

Addressing Trench Structures And Larger Wafers For Power Devices


Wind power. Rail. Solar energy. And, perhaps most significantly, electric and hybrid vehicles. Together, these four forces are among the major demand drivers for power devices. While silicon (Si) still plays a role in power devices, wide-bandgap compound semiconductors like silicon carbide (SiC) and gallium nitride (GaN) are particularly well-suited for power devices thanks to their higher e... » read more

Tiny Dots, Big Impact: The Luminous World of Quantum Dots


In the early ’80s, Alexey Ekimov and Louis E. Brus independently researched semiconductor clusters, leading to the discovery of quantum dots (QDs). QDs are nanoscale semiconductor particles with unique optical and electronic properties. In 1993, Moungi Bawendi improved quantum dot production, making them nearly perfect for various applications. By the late ’90s and early 2000s, quantum d... » read more

Isolating Critical Data In Failure Analysis


Experts at the Table: Semiconductor Engineering sat down to discuss traceability and the lack of data needed to perform root cause analysis 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 Hakim, ASIC reliability engineer at Teradyne... » read more

Using Smart Data To Boost Semiconductor Reliability


The chip industry is looking to AI and data analytics to improve yield, operational efficiency, and reduce the overall cost of designing and manufacturing complex devices. In fact, SEMI estimates its members could capture more than $60B in revenues associated through smart data use and AI. Getting there, however, requires overcoming a number of persistent obstacles. Smart data utilization is... » read more

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