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COMSOL Multiphysics Capabilities for Aerospace and Defense

The Finite Element Method entails numerous advantages when utilized in the Aerospace and Defense industries. Read on to learn about COMSOL Multiphysics’ comprehensive capabilities for applying FEM.
Reduced Order Modeling Based on Neural Networks

Learn about Reduced Order Modeling (ROM), how it can be used to solve problems quickly and maximize your time and effort, and how you can create a reduced order model based on Neural Networks in MATLAB
Battery Pack Design in COMSOL Multiphysics

Discover COMSOL Multiphysics’ capabilities for monitoring the temperature distribution of a battery pack. See how you can optimize battery design in the development cycle using the Battery Design Module.
AI: Driving the Industry Towards Greater Success

Artificial intelligence (AI) is seen as a promising technology that can help leading OEMs to maintain their position as market leaders. In this post, read about how AI is changing the manufacturing sector, as well as its potential advantages and potential drawbacks.
Microgrid Design and Simulation with Simulink

Discover the essentials of microgrid design and simulation using Simscape Electrical™ and Simulink®. Get started with expert insights in this blog.
Quantization Noise: What Is It, And Why Should You Care?

Explore the world of quantization noise and its significance in this blog. Learn how to handle finite word-length arithmetic with fixed- and floating-point approaches.
COMSOL Multiphysics for the Automotive Sector (Part 1)

Explore COMSOL Multiphysics capabilities for simulating and analyzing complex multiphysics problems, including automotive acoustics, battery design, and electromagnetic compatibility of the vehicle.
Key MATLAB and Simulink Capabilities for Aerospace and Defense

Explore MATLAB and Simulink capabilities that can help aerospace and defense organizations with control systems, system design, and physical modeling.
MATLAB and Simulink for Automotive

Discover how MATLAB and Simulink drive automotive innovation. Learn how these tools expedite vehicle development and help OEMs meet evolving market demands.
MATLAB and Simulink for Artificial Intelligence

Learn about MATLAB and Simulink’s capabilities for creating AI-driven products and services, including the benefits of using these platforms, key components of the AI workflow, and the integration of AI models into real-world applications.
Excitation Signals for Identification of Dynamic Systems

Learn about optimizing multisine signals for precise frequency-domain system identification. Discover the importance of low Crest Factor (CF) in excitation signals and explore techniques to enhance signal-to-noise ratios (SNR) for improved measurement accuracy.
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Engineering Undergraduates at BME Using Symbolic Math Toolbox to Learn Symbolic Computation

Professors at BME, Faculty of Transportation Engineering, and Vehicle Engineering use Symbolic Math Toolbox™ and its Live Script format in the curriculum, which provides first-year engineering students with the basic knowledge of how to use symbolic computation in engineering mechanics problems.