Quanscient

Our December webinar is on #PMUT and #CMUT design! We’re very excited to invite you to our last webinar of the year on Tuesday, December 17th, from 4-5 pm CET. We'll cover how Quanscient Allsolve enables efficient design space exploration, accurate performance prediction, and accelerated development cycles in #MUT design. Key takeaways include: • Learn how to simulate large sections of MUT arrays to efficiently capture effects like cross-talk and directivity • Discover how to run fully coupled transient simulations on CMUT and PMUT arrays • See a live demonstration and results of a PMUT array simulation in Quanscient Allsolve, showcasing key outputs like pressure, mechanical crosstalk, and electrical crosstalk Dr. Andrew Tweedie, our UK Director, will be leading the technical discussion in this webinar. Register for the webinar now to reserve your seat for the live event! https://lnkd.in/dKXy3Gs7

We are excited to share that Quanscient is now SOC 2 Type 2 certified! This is an important milestone for us, as we are committed to safeguarding customer data. We want to ensure that we meet the highest standards when it comes to privacy, security and confidentiality. Many thanks to Prescient Security and Vanta for their continued support. We are proud of this achievement and excited to continue building trust with our customers. #SOC2 #DataSecurity #Compliance

Our UK Director, Dr. Andrew Tweedie is representing us at the 2024 UFFC Joint Symposium debrief event with a focus on #ultrasonics. The event is hosted on Dr. Tweedies home turf in Glasgow, Scotland, and sure enough, he’ll be giving a keynote speech on cloud computing in ultrasonic simulations. Furthermore, Dr. Tweedie will be participating in a panel discussion for further discussion on ultrasonic research. If you’re joining the event, be sure to tune in for these, and keep posted for a summary of the keynote speech next week!

Runtime reduced from 64 minutes to 10 minutes – just with #DDM The Domain Decomposition Method (DDM) is a method implemented in Quanscient Allsolve that partitions the global computational domain into smaller, independent subdomains, enabling concurrent computations on separate processors. As demonstrated live in our #webinar last week, this method alone can reduce the runtime of large-scale simulations from hours to minutes. Check out the clip from our webinar below to learn more about how DDM works in Quanscient Allsolve!

More than two years ago, we published a blog post about the "pre-history" of Quanscient By pre-history, we mean the origins of Finite Element Analysis (#FEA), the process at the heart of modern #simulation tools. The story starts from figuring out how to build better bridges, to introducing computers, all the way to "abstract nonsense" and quantum computing. This piece was written by our Chief Scientist Dr. Valtteri Lahtinen, with contribution from one of our advisors, Prof. P. Robert Kotiuga from Boston University. For an interesting story on the origins and development of FEA and how it’s being used at Quanscient today, read the blog linked below! https://lnkd.in/dxgRrFeX

In our recent blog post, we shared a case study explaining how Quanscient Allsolve can be used to improve MEMS gyroscope design. The case study focused on two major energy loss factors: anchor loss and squeeze film damping. Both were analyzed with eigenmode analysis, which calculates natural frequencies, quality factors, and mode shapes. Eigenmode analysis saved time and provided a more accurate understanding of the gyroscope’s vibrations. This feature of Quanscient Allsolve helps engineers make better design choices and speeds up the processes by eliminating the need for time-consuming frequency sweeps. Read the details from the full case study linked below. https://lnkd.in/dH999KMn

640x speedup with Quanscient Allsolve In our webinar last week, Rahul Kikkeri Nagaraja revisited the results from our whitepaper (which the live attendees received during the event), where we demonstrated how the combination of #DDM and parallel simulations enable massively accelerated design of experiments. Here's how it works: 1. With just the DDM, so by splitting the domain into smaller subdomains solved independently, we saw a speedup of 6.4x in a single simulation 2. By running a hundred of these simulations in parallel with slightly tweaked parameters, the runtime of a hundred simulations is the same as with the single simulation 3. So, compared to an approach where you have to run the simulations without DDM sequentially, we’re talking about a speedup of 640x This nicely illustrates two of the important key benefits enabled by Quanscient Allsolve: speed and scalability. Watch the video below for the full explanation and visit our website to read more!

Missed our #semiconductor packaging webinar last week? Fear not, we still have something for you. Although the live event was an interactive, once-in-a-lifetime spectacle never to be seen again, we do have the summary PDF for those who couldn’t make it. It contains the key takeaways of what we covered, including • Overview of the challenges faced with traditional approaches • How Quanscient Allsolve addresses these challenges • Results of the live demonstration by Rahul Kikkeri Nagaraja • Other valuable pieces of information related to semiconductor packaging design You can access the PDF by filling the form on our website from the link below. In the meantime, stay tuned for the upcoming events! https://lnkd.in/dcga9g_n

Exciting news from Quanscient to Japan 🇯🇵 We're pleased to announce our partnership with Hide Sato! Over the past 6.5 years, Hide Sato has helped companies manage and grow their Japanese operations. Now, Hide Sato will use his expertise and network to help Quanscient strengthen our presence in Japan. Together with Mr. Sato, we look forward to better serving the Japanese market! #multiphysics #simulation #japan

Our semiconductor packaging design #webinar on Tuesday was highly engaging—thank you to everyone who joined! Materials will be shared with live participants, in the meantime, let’s look at how Quanscient Allsolve addresses key challenges: • With cloud-computing and the Domain Decomposition Method (DDM), the computational model is divided into smaller subdomains and solved in parallel which accelerates simulations • Users can run up to thousands of simulations in parallel with zero added computational time which allows faster design of experiments (DoE) • Quanscient Allsolve's API integrates into existing simulation workflows and provides more flexibility and control to users For more detailed information, watch our short clip below. Did you miss the live event? No worries— stay tuned for our upcoming webinars!