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

Installing Yield Software Early In A Ramp Up


In 1999, the White Oak Semiconductor Fab in Richmond, VA, was awarded the prestigious “Top Fab of the Year” (yes, that actually existed – proof attached!) by the leading semiconductor magazine of the time. Back then, I was a young engineer on the ramp up team and I recall that the reason we were chosen for the award was the incredibly short time in which we were able to ramp up production... » read more

Fab And Field Data Transforming Manufacturing Processes


The ability to capture, process, and analyze data in the field is transforming semiconductor metrology and testing, providing invaluable insight into a product's performance in real-time and under real-world conditions and use cases. Historically, data that encapsulates parameters such as power consumption, temperature, voltages, currents, timing, and other characteristics, was confined to d... » read more

Power Semis Usher In The Silicon Carbide Era


Silicon carbide production is ramping quickly, driven by end market demand in automotive and price parity with silicon. Many thousands of power semiconductor modules already are in use in electric vehicles for on-board charging, traction inversion, and DC-to-DC conversion. Today, most of those are fabricated using silicon-based IGBTs. A shift to silicon carbide-based MOSFETs doubles the powe... » read more

SiC Growth For EVs Is Stressing Manufacturing


The electrification of vehicles is fueling demand for silicon carbide power ICs, but it also is creating challenges in finding and identifying defects in those chips. Coinciding with this is a growing awareness about just how immature SiC technology is and how much work still needs to be done — and how quickly that has to happen. Automakers are pushing heavily into electric vehicles, and t... » read more

Multivariate Analysis For Full Process Visibility


In semiconductor manufacturing, especially in electrical test data, but also in other parameters, there are often sets of parameters that are very highly correlated. Even a change in the correlation of those parameters may indicate a problem. For that reason, multivariate monitoring, or multivariate statistics, is applied to these parameters. Multivariate analysis, also known as multivariate... » read more

Ramping Up Power Electronics For EVs


The rapid acceleration of the power devices used in electric vehicles (EVs) is challenging chipmakers to adequately screen the ICs that power these vehicles.[1] While progress toward autonomous driving is grabbing the public’s attention, the electrification of transportation systems is progressing quietly. For the automotive industry, this shift involves a mix of electronic components. Amo... » read more

Pinpointing Timing Delays Can Improve Chip Reliability


Growing pressure to improve IC reliability in safety- and mission-critical applications is fueling demand for custom automated test pattern generation (ATPG) to detect small timing delays, and for chip telemetry circuits that can assess timing margin over a chip's lifetime. Knowing the timing margin in signal paths has become an essential component in that reliability. Timing relationships a... » read more

Preventing Process Excursion With AI And Yield Management Software


Process excursion, or any deviation in a certain process, significantly impacts the cost of semiconductor manufacturing process and product yield. During production, process excursion can be detected early during in-line inspections. However, in some cases, excursion isn’t detected until later in the production process such as during wafer testing in the probing area after production. Apar... » read more

Using AI To Improve Metrology Tooling


Virtual metrology is carefully being added into semiconductor manufacturing, where it is showing positive results, but the chip industry is proceeding cautiously. The first use of this technology has been for augmenting existing fab processes, such as advanced process control (APC). Controlling processes and managing yield generally do not require GPU processing and advanced algorithms, so t... » read more

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