Challenges In Using Sub-7nm ICs In Automotive


The automotive industry is producing vehicles with increasing levels of real-time decision-making, enabled by thousands of ICs, sensors, and multi-chip packages, but making sure these systems work flawlessly throughout their expected lifetimes is a growing challenge. Automotive chips traditionally were developed at mature process nodes in five- to seven-year cycles, but much has changed over... » read more

High-Quality Data Needed To Better Utilize Fab Data Streams


Fab operations have wrestled with big data management issues for decades. Standards help, but only if sufficient attention to detail is taken during collection. Semiconductor wafer manufaFcturing represents one of the most complex manufacturing processes in the world. With each generation of process improvement comes more sophisticated fab equipment, new process recipes, and exponential incr... » read more

Identifying Sources Of Silent Data Corruption


Silent data errors are raising concerns in large data centers, where they can propagate through systems and wreak havoc on long-duration programs like AI training runs. SDEs, also called silent data corruption, are technically rare. But with many thousands of servers, which contain millions of processors running at high utilization rates, these damaging events become common in large fleets. ... » read more

E-Beam Inspection Proves Essential For Advanced Nodes


Electron-beam inspection is proving to be indispensable for finding critical defects at sub-5nm dimensions. The challenge now is how to speed up the process to make it economically palatable to fabs. E-beam inspection's notorious sensitivity-throughput tradeoff has made comprehensive defect coverage with e-beam at these advanced nodes especially problematic. For Intel’s 18A logic node (~1.... » read more

Who Is Most Likely To Link Financial And Manufacturing Data?


Experts at the Table: Semiconductor Engineering sat down to discuss which companies have the most to gain from linking financial data with manufacturing data analytics platforms with Dieter Rathei, CEO of DR Yield; Jon Holt, senior director of product management at PDF Solutions, Alex Burlak, vice president of advanced analytics and test at proteanTecs; and Dirk de Vries, technical program ma... » read more

Need For Speed Drives Targeted Testing


As packaging complexity increases and nodes shrink, defect detection becomes significantly more difficult. Engineers must contend with subtle variations introduced during fabrication and assembly without sacrificing throughput. New material stacks degrade signal-to-noise ratios, which makes metrology more difficult. At the same time, inspection systems face a more nuanced challenge — how t... » read more

Secure Handling Of Financial Data In Manufacturing


Experts at the Table: Semiconductor Engineering sat down to discuss the advantages associated with linking financial data with manufacturing data analytic platforms, real security challenges and the best uses for AI/ML methods, with Dieter Rathei, CEO of DR Yield; Jon Holt, senior director of product management at PDF Solutions, Alex Burlak, vice president of advanced analytics and test at p... » read more

Why Thin Film Measurements Matter


Semiconductor devices are becoming thinner and more complex, making thin deposited films even harder to measure and control. With 3nm node devices in production and 2nm nodes ramping toward first-silicon, the importance of precise film measurement is only growing in significance as fabs seek to maintain the performance and reliability of leading-edge devices. Whether it’s the read and writ... » read more

Nearly Invisible: Defect Detection Below 5nm


Detecting sub-5nm defects creates huge challenges for chipmakers, challenges that have a direct impact on yield, reliability, and profitability. In addition to being smaller and harder to detect, defects are often hidden beneath intricate device structures and packaging schemes. Moreover, traditional optical and electrical probing methods, trusted for decades, are proving inadequate against ... » read more

Hunting For Macro Defects


Detecting macro-defects early in the wafer processing flow is vital for yield and process improvement, and it is driving innovations in both inspection techniques and wafer test map analysis. At the wafer level, a macro-defect can affect more than one die, and in some cases large regions of a wafer. Finding macro defects can indicate a significant issue with a process module, a particular fi... » read more

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