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  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.

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  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.

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  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.

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  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.

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  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.

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  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.

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  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.

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  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.

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  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.

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  Expletive Pharma Improves Productivity with a MATLAB-Driven Pricing System

  Expletive Pharma transforms an existing pricing solution into an improved, user-friendly, and flexible system that could also function as a base for any further advancements with the help of MATLAB.

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  FBMC – An Ever-Promising Candidate for 5G Technologies and Beyond

  In this blog, we discuss the newest solution for improving the signal processing of FBMC receivers. Explore the newest solution for improving the signal processing of FBMC receivers, including efficient implementation strategies and receiver structure enhancements. Discover new insights and alternative signal processing solutions that promise enhanced performance and reduced complexity for these crucial systems.