BEGIN:VCALENDAR VERSION:2.0 PRODID:-//PYVOBJECT//NONSGML Version 1//EN BEGIN:VTIMEZONE TZID:Europe/Brussels BEGIN:STANDARD DTSTART:20001029T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10 TZNAME:CET TZOFFSETFROM:+0200 TZOFFSETTO:+0100 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000326T020000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3 TZNAME:CEST TZOFFSETFROM:+0100 TZOFFSETTO:+0200 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:20260525T122305Z - 61824@eupp208 DTSTART;TZID=Europe/Brussels:20260130T140000 DTEND;TZID=Europe/Brussels:20260130T144500 CREATED:20260525T122305Z DESCRIPTION:When heat interferes: A data-driven workflow to analyz e thermal crosstalk in PIC switch networks\nSpeaker Missed the webinar ? Watch Now To meet the escalating bandwidth requirements of AI clusters a nd data center interconnects\, the industry is rapidly pivoting towards ad vanced optical communication solutions. By bringing the electro-optic inte rface closer to electronic chips that process the data\, and enabling high -speed communication with a low cost per bit\, PICs have become one of the key enablers of next-generation computing architectures. At the heart of these systems are complex optical switching networks\, which are used to r edirect light signals from one destination to another. These networks ofte n rely on active components\, such as MZI switches\, to steer light betwee n outputs. While this approach offers flexibility and scalability\, real-w orld implementations face a challenging tradeoff between limited chip area \, accumulated optical losses\, and crosstalk between the channels. Nirav Annavarapu\, PhD Application Engineer at Luceda Photonics Although losses and crosstalk are often estimated using simple frequency-domain simulation s\, the impact of the spatial heat distribution is difficult to calculate. It can ultimately dictate key architectural and layout decisions and sign ificantly impact device performance. In this webinar\, we’ll show you ho w to estimate the impact of parasitic thermal effect by using Layout-Aware Variability Analysis in Luceda Circuit Analyzer. You will learn how to: D esign and leverage parametric circuits in Luceda IPKISSSet up and run layo ut-aware variability analysis simulationsLeverage Luceda’s data-driven w orkflows to efficiently perform such analysesPerform tradeoff analyses usi ng Circuit Analyzer to guide robust design decisions Join us to gain pract ical insights into thermal crosstalk analysis and learn how Luceda Photoni cs can help you design more scalable\, reliable photonic switch networks b efore committing to fabrication. [...] DTSTAMP:20260525T122305Z LOCATION:Online event SUMMARY:When heat interferes: A data-driven workflow to analyze thermal cro sstalk in PIC switch networks X-ALT-DESC;FMTTYPE=text/html:When heat interferes: A data-driven w orkflow to analyze thermal crosstalk in PIC switch networks\nSpeaker M issed the webinar? Watch Now To meet the escalating bandwidth requirements of AI clusters and data center interconnects\, the industry is rapidly pi voting towards advanced optical communication solutions. By bringing the e lectro-optic interface closer to electronic chips that process the data\, and enabling high-speed communication with a low cost per bit\, PICs have become one of the key enablers of next-generation computing architectures. At the heart of these systems are complex optical switching networks\, wh ich are used to redirect light signals from one destination to another. Th ese networks often rely on active components\, such as MZI switches\, to s teer light between outputs. While this approach offers flexibility and sca lability\, real-world implementations face a challenging tradeoff between limited chip area\, accumulated optical losses\, and crosstalk between the channels. Nirav Annavarapu\, PhD Application Engineer at Luceda Photonics Although losses and crosstalk are often estimated using simple frequency- domain simulations\, the impact of the spatial heat distribution is diffic ult to calculate. It can ultimately dictate key architectural and layout d ecisions and significantly impact device performance. In this webinar\, we ’ll show you how to estimate the impact of parasitic thermal effect by u sing Layout-Aware Variability Analysis in Luceda Circuit Analyzer. You wil l learn how to: Design and leverage parametric circuits in Luceda IPKISSSe t up and run layout-aware variability analysis simulationsLeverage Luceda ’s data-driven workflows to efficiently perform such analysesPerform tra deoff analyses using Circuit Analyzer to guide robust design decisions Joi n us to gain practical insights into thermal crosstalk analysis and learn how Luceda Photonics can help you design more scalable\, reliable photonic switch networks before committing to fabrication. [...] END:VEVENT END:VCALENDAR