SciEngineer

12/08/2026

Ahead of today’s full solar eclipse, we’re looking beyond the spectacle to the science and engineering that make it possible to predict, model, and study such an extraordinary event.

It’s a compelling example of the kind of complex physical modeling and simulation workflows that can be explored with MATLAB and Simulink combining orbital mechanics, data analysis, visualization, and system-level simulation to better understand how real-world systems behave.

Our latest article explores how scientists model the shadow before it falls and what today’s eclipse can teach us about the Sun, space engineering, and the power of simulation. Read the full article on our website:

On 12 August 2026, a total solar eclipse will cross parts of Greenland, Iceland, Spain, and Portugal, while a deep partial eclipse will…

11/08/2026

Falling river levels, shrinking reservoirs, and water constraints are putting new pressure on energy producers across CEE.

The question is no longer just how to respond to drought, but how to design systems that remain resilient when conditions change.

Simulation can help energy companies test how plants, cooling systems, controls, and operations perform under different water-availability scenarios, identify potential bottlenecks, and evaluate adaptation strategies before making costly real-world changes.

Read more:

Central and Eastern Europe is facing one of its most severe droughts in recent memory. Falling river levels, shrinking reservoirs, and increasingly constrained…

07/08/2026

At the Hackathon organized by the University of Pannonia, AUMOVIO, and SciEngineer, the winning team tackled a real automotive engineering challenge: estimating the speed difference between a motorcycle’s front and rear wheels using real sensor data.

Their solution turned noisy measurements into an accurate model of motorcycle dynamics, while meeting the requirements of embedded automotive hardware.

Now, we’re taking a closer look at the winning team’s approach and ex*****on: the engineering decisions they made, how they developed their model, and how the solution can be applied to a real-world automotive use case.

Read the full story:
https://lnkd.in/dtwFtHQY

06/08/2026

The future of engineering is not only about generating results faster. It is about building reliable workflows where AI and engineering expertise work together.

In a practical engineering example, SciEngineer ’s Application Engineer, Bence Nagy, explored how Agentic AI can support the verification process of a Light Control System architecture using System Composer, Simulink, and the Simulink Agentic Toolkit.

The focus is not simply on automation. It is about integrating AI into structured engineering workflows where verification, traceability, and engineering expertise remain essential.

The workflow included:
✅ Analyzing system requirements
✅ Creating a verification plan
✅ Generating test cases linked back to requirements
✅ Executing the test suite in Test Manager

The results:
✅ 7/7 test cases passed
✅ Full traceability from requirements to test results
✅ Complete workflow completed in under 20 minutes

Agentic AI has great potential in engineering, but reliable processes, verification, and human expertise remain essential.

31/07/2026

🛰️ Building the next generation of satellite communications?

Join the MathWorks webinar on August 6 to learn how to model and simulate Non-Terrestrial Networks (NTNs), design antenna arrays, and use agentic AI to accelerate satellite communication system development in MATLAB.

📅 Register here:

This webinar describes technical challenges of non-terrestrial communications networks (NTNs) implemented with low earth orbiting (LEO) satellites.  It then describes how you can address those challenges through modeling and simulating the satellites and their orbits, the onboard antennas or antenn...

24/07/2026

At Budapest University of Technology and Economics (BME), MATLAB campus-wide access enabled direct support from our educational engineer to explore how could strengthen an existing electromagnetics course.

Attila Géczy (BME) and Koppány Ákos Kiss, PhD (SciEngineer) analyzed the course syllabus together to identify areas where simulation-based learning could complement theoretical concepts.

The result was a hands-on PCB antenna design and optimization exercise where students explored real engineering workflows and investigated the impact of geometry and materials.

The developed lab exercise will become part of the curriculum, creating a new learning opportunity for future engineering students.

➡️Read the full story: https://tinyurl.com/c2c8s2rn

💡Is your university already part of MATLAB Campus-Wide Access? Explore the list of participating institutions and find out more: https://tinyurl.com/4aa6cyda

24/07/2026

Join the MathWorks webinar on July 28 to get an introduction to key aerospace certification standards, including DO-178C, DO-254, ARP4754B, and ARP4761A, and learn how Model-Based Design supports structured, traceable development workflows.

📅 Register here:

Safety-critical system development in aerospace requires adherence to rigorous standards and well-defined engineering workflows.

20/07/2026

Missed our Controls & Real-Time Simulation with MATLAB & Simulink workshop?

One of the workshop sessions, "A Digital Twin Foundation for Unmanned Air Systems (UAS)," is now available to watch on demand.

If you couldn't attend—or would like to revisit the session—you can watch the recording here:
https://sciengineer.com/ondemand/a-digital-twin-foundation-to-unmanned-air-systems/

17/07/2026

Curious about how RF digital twins are transforming wireless communications and radar development?

Join the MathWorks webinar on 23rd of July to learn how RF digital twins help accelerate design, improve validation, and reduce development risk.

📅 Register here:

Modern radar and wireless communications systems increasingly rely on highly programmable, wideband beamforming platforms that must support diverse applications, operating environments, and lifecycle requirements.

16/07/2026

As automotive software development evolves, engineering teams are exploring new ways to integrate AI into their workflows.

Bence Nagy, our Application Engineer, created a practical step-by-step walkthrough showing how to connect AI Agents with Simulink using the MATLAB & Simulink Agentic Toolkit.

The video below covers the 5 key steps:
1️⃣ Download the agenticToolkitInstaller from the MATLAB GitHub repository.
https://github.com/matlab/matlab-agentic-toolkit/ -the-MATLAB-Agentic-Toolkit

2️⃣ Open the Getting Started guide and choose the installation path that fits your environment.

3️⃣ Run the installation command in MATLAB:
setupAgenticToolkit("install")

4️⃣ Configure the MCP Server and MATLAB & Simulink Agentic Toolkit.

5️⃣ Verify the connection
Ask your AI Agent:
"Do you see the open MATLAB session, and do you have access to the MATLAB and Simulink Agentic Toolkit and skills?"
If the agent lists your available toolboxes, the connection is ready.

This is another example of how AI capabilities can become part of future engineering workflows, supporting areas such as modeling, simulation, testing, and development.

Explore Bence’s full walkthrough and learn more about integrating AI Agents with Simulink.