SciEngineer

Want to lower R&D costs? Reducing reliance on expensive physical prototypes and turning to simulation solutions is one of the most effective ways to accelerate space mission timelines and lower R&D costs. This ebook demonstrates how multiphysics simulation streamlines engineering workflows while delivering measurable time and cost savings: ✅75% reduction in testing time for 3D-printed injectors ✅83.3% cost reduction in rocket engine development ✅Optimized compressor design for the life-support system on the ISS ✅Early identification of thermal risks in small satellites ✅Performance validation for spacecraft antennas ✅Efficient deep-space power generation Discover how technical experts use simulation to reduce risk and speed up innovation. Get the ebook now!

Simulation can help understand complex physics⬇️ Investigating coupled physical phenomena in extreme environments requires high-fidelity models that bridge theoretical physics and practical engineering. This new ebook highlights real-world case studies from leading research institutions like NASA, ITRI, and IIT, showing how multiphysics modeling advances space technology R&D: ✅Gas dynamics and rocket combustion instability ✅Electron emission for satellite power generation ✅Thermal modeling for life-support system improvement ✅Electromagnetic behavior analysis for spacecraft antennas ✅Temperature variations and satellite longevity ✅Additive manufacturing for rocket engines Learn more in the ebook⬇️

Physical testing under real space conditions is costly, time-consuming, and difficult to reproduce. Multiphysics simulation enables engineers to analyze coupled physical interactions early in the design phase. This new ebook highlights four case studies and two technical articles showing how COMSOL Multiphysics® can help solve critical space R&D challenges: ✅Additive manufacturing for rocket engines ✅Carbon dioxide removal on the ISS ✅Rocket combustion instability analysis ✅Deep-space satellite power generation ✅Spacecraft antenna design ✅Small satellite thermal management Discover how engineers optimize space systems from concept to flight. Get the ebook now!

Can Agentic AI become a reliable part of automotive development? AI can accelerate development. The challenge is keeping the process reliable, structured and traceable. The SDV Engineering Series demonstrates an end-to-end AUTOSAR Adaptive workflow, from requirements and architecture through implementation, verification and deployment. Across three chapters, you'll see how Agentic AI can be integrated into this workflow, including: ✅ Setting up the Agentic AI workflow in MATLAB & Simulink ✅ Defining a service-oriented architecture from requirements ✅ Building and verifying the application in Simulink ✅ Deploying the application and delivering over-the-air updates SDV Engineering Series | Season 1: Building an AUTOSAR Adaptive Application with Agentic AI Get free access to the full 3-part series, starting with Chapter 1.

How can Agentic AI support the development of an AUTOSAR Adaptive application? The SDV Engineering Series takes you through a complete end-to-end workflow, from system requirements and architecture to software development, verification, deployment and Over-the-Air updates. Across three chapters, you'll see how to: ✅ Set up the Agentic AI workflow in MATLAB & Simulink ✅ Define a service-oriented architecture from requirements ✅ Build and verify the application in Simulink ✅ Deploy the application and deliver an over-the-air update The workflow uses MATLAB, Simulink, System Composer and MATLAB MCP Server, keeping the engineering process reliable, structured and traceable. Get free access to Chapter 1, with the next chapters delivered weekly.

I was recently invited to share expert insights on how multiphysics simulation is reshaping engineering decision-making, and the broader shift happening across the industry. After more than a decade working in simulation, I've seen a clear trend emerge: simulation is moving upstream. It's no longer something used simply to validate designs at the end of a project, but an increasingly important part of how engineering decisions are made from the very beginning. What makes this shift particularly significant is the growing complexity of modern systems. Whether in automotive, energy, electronics, or medical technology, engineers are being asked to understand interactions across multiple physical domains long before a prototype exists. Tools such as COMSOL Multiphysics are helping make that possible, but the bigger story is how simulation itself is changing the way organizations approach risk, design, and innovation. In the interview, we discussed where this transformation is headed, what challenges still remain, and why predictive engineering is becoming a competitive advantage rather than a specialized capability. Read the full interview here: https://lnkd.in/diEjBJSY