Quanscient

The topic of our upcoming #webinar is the Quanscient API! The live event will be held on Tuesday, October 29th at 4 pm CET (10 am US East, 3 pm London) and the recording will be sent to all registrants. In the 45-minute webinar, we’ll cover the following topics: • Programmatic control of simulations, optimizations, and geometric sweeps • Seamless integration with design software and automated workflows • The roadmap of the Quanscient API and its upcoming features • How the Quanscient API is used by our customers today • A live demonstration of the capabilities of the API This webinar is ideal for anyone interested in improving their design and validation processes through automation and integration of #multiphysics simulations. Register for the webinar now to reserve your seat and ensure access to all materials. 📁 In addition to access to the live event, all registrants will receive a recording of the webinar and a downloadable summary PDF.

Simple way of simulating fluids with #quantum computers? The latest blog post from our Quantum Labs is by Niccolò Fonio, a visiting PhD researcher from Aix-Marseille University. Niccolò joined our Quantum Labs in September, bringing his expertise in quantum computing and fluid dynamics. In his guest post, he explores Quantum Lattice Gas Cellular Automata (#LGCA), a numerical method for fluid dynamics simulations. He breaks down the topic and explains how LGCA can be used as a "simple" method to simulate fluid behavior on a quantum computer. Niccolò also shares his experience working with our team in Finland, and his thoughts on the potential of quantum computing in the context of physics simulations. Read the full post here: https://lnkd.in/d_rY4p5z

Ever wondered how the Quanscient API enables automated workflows in #multiphysics simulations? No? Well, you can still join our upcoming #webinar on October 29th! Led by our Chief Product Officer and Co-Founder Asser Lähdemäki, we’ll cover: • Programmatic control of simulations, optimizations, and geometric sweeps • Seamless integration with design software and automated workflows • The roadmap of the Quanscient API and its upcoming features • How the Quanscient API is used by our customers today • A live demonstration of the capabilities of the API Read more and register for the event below! 📁 All registrants will receive a recording and a downloadable summary PDF after the webinar. https://lnkd.in/dnFKh9d4

498 million unknowns solved on 1000 cores with 16 TB RAM completed in 10 minutes – and all it takes is a laptop browser! Quanscient Allsolve sets a new internal benchmark for 3D electromagnetic wave simulations. The details include: • Second-order edge shape functions • Fully automatic, unstructured DDM partitioning • No shortcuts or problem-specific optimizations Large-scale simulations like these are starting to be the new standard with modern cloud-based simulation software. Excited to see how our clients will further leverage these capabilities to achieve even more remarkable results! #multiphysics #simulation

Quanscient will be at the NAFEMS Multiphysics Conference 2024 next week! Our Chief Scientist and co-founder, Dr. Valtteri Lahtinen, and our Head of Marketing, Jukka Knuutinen, will be representing Quanscient in Singapore next week. In addition to our booth presence in the exhibition area, we’ll be hosting a 90-minute #workshop on cloud-powered #multiphysics simulations with a deep dive into the work done by our Quantum Labs. If you’re in Singapore next week, join our workshop on Wednesday and meet us at our booth!

These are the 6 most common challenges with traditional APIs (that the Quanscient API solves) Let’s take a look at them together: 1. Complex setups can be a nightmare, involving tricky dependencies and compilation steps 2. Relying on outdated Java APIs creates a steep learning curve and leads to too much boilerplate code 3. Having separate licenses for different software packages increases costs and limits flexibility 4. Licensing constraints often limit the number of parallel simulations and lead to bottlenecks 5. Integration with other tools is typically restricted to those with specific modules or a Java-based architecture 6. Reliance on workarounds, like manual data exchanges and search-and-replace methods in scripts are inefficient and error-prone In summary, traditional simulation APIs can be complex to set up, are specific to single products that solve only certain physics, and offer limited integration options. With the Quanscient API, you can avoid these challenges. To learn how, read our recent blog article below. After all, why deal with complicated setups when Quanscient API can do the heavy lifting? https://lnkd.in/dPjVR_Ff

Engineers, by nature, want to make their work more efficient. In the context of modeling and simulations, APIs are a great way to go about that. Traditional API’s, however, often present challenges with their complexity and limited integration options. Designed with user-friendliness in mind, Quanscient API enables the flexibility and freedom you and your design processes deserve. This is enabled by: • Automatic simulations from your CAD software • Programmatic control of the simulations with Python • Centralized simulation results directly through the API To learn more about the Quanscient API and see it in action, register for our upcoming #webinar! (And yes, all registrants will receive the recording and PDF summary) https://lnkd.in/dnFKh9d4

How Proxima Fusion utilizes the Quanscient API In our recent #HTS webinar, Dr. Nicolò Riva detailed how Proxima Fusion uses the Quanscient API to automate complex magneto-mechanical simulations for their stellarator coils. They faced the challenge of frequent design iterations from their plasma physicists where previously, each new coil configuration required significant manual effort to set up. With the Quanscient API, they've automated this workflow. Here's how it works: 1. Proxima Fusion provides the CAD model of the coil and the mesh (created, for example, with Gmsh) 2. They define material properties, boundary conditions, and simulation parameters in a Python script 3. The API handles the transfer of this information to Quanscient Allsolve 4. Allsolve automatically sets up and executes the magneto-mechanical simulation, leveraging cloud computing and #DDM for faster results 5. Proxima Fusion receives the simulation results directly through the API for further analysis and design optimization This automated workflow saves Proxima Fusion significant time and effort, allowing them to focus on design optimization and analysis instead of managing the simulations themselves. Watch the full clip of Dr. Riva walking through their workflow below, and learn more about the Quanscient API in our upcoming #webinar. Read more and register for the webinar from the link in the comments.

The future of product design is simulation-driven and automated In our newest blog post, our CEO, Juha Riippi, details how API-driven simulations are key to a more efficient design process. He introduces the Quanscient API, highlighting #automation and #integration as the pillars for future design and validation, with processes that will enable • Triggering simulations from your CAD software without manual file transfers or setup • Embedding simulations directly into your design process to ensure continuous validation and optimization • Connecting with your data management systems to centralize simulation data and streamline analysis • Running large-scale simulations and parallel optimization algorithms with Quanscient Allsolve Read the full article below to see how the Quanscient #API is enabling a more efficient and integrated approach to design and validation. https://lnkd.in/dPjVR_Ff

#HTS webinar recording is now available! If you missed the live session, here’s what you’ll find in the full 60-minute recording: • How cloud computing can be utilized to efficiently simulate complex fusion reactors and handle large-scale simulations for intricate geometries • How the thinshell method simplifies geometries while maintaining accuracy and reducing computational time • The full workflow Proxima Fusion uses to automate their magneto-mechanical model integration with the Quanscient API • Real-world results from Proxima Fusion, highlighting the value of advanced simulation tools in fusion research For easier watching, the recording is divided into timestamps that are outlined in the picture below. Watch the full webinar now or save it for later from the link below! https://lnkd.in/dMJTBcuV