Accelerating Simulation with Machine Learning: Lessons from a Vehicle Dynamics Thesis
May 28, 2026
Key Takeaways for Engineers and Engineering Leaders Why Simulation Teams Are Looking to Machine Learning Engineering teams today are balancing two competing demands: increasing system complexity and shrinking development timelines. High-fidelity simulation remains essential for accuracy and confidence, but its computational cost can slow iteration, limit design exploration, and delay critical decisions. At Modelon, this […]
Engineering AI that Supports Real Decisions
April 23, 2026
Executive Summary Engineering teams rarely struggle because they lack possible answers. They struggle because getting from a question to a trustworthy answer takes work: choosing the right model, deciding which assumptions are acceptable, configuring a study that can actually run, understanding why a run failed, and turning results into something that supports a real decision. […]
AI Assisted Simulation Now in Modelon Impact
April 21, 2026
Modelon’s new AI Assistant helps engineers get started faster, troubleshoot more easily, and move through simulation work with greater confidence. Simulation software has long asked users to do a lot of the heavy lifting themselves. Setting up models, working through errors, and finding the right next step often takes time, experience, and access to the […]
From Intent to Action: Agentic AI for Vehicle Dynamics in Modelon Impact
March 30, 2026
Artificial intelligence is already capable of turning engineering intent into executable models. The next step is putting that capability to work. Previously, we explored why equation-based, physics-driven modeling is uniquely suited for AI. Now, we move from capability to application. What happens when AI is not just generating models, but actively participating in engineering workflows? […]
From Intent to Insight: AI-Driven, Physics-Based Modeling with Modelica
March 18, 2026
Artificial intelligence is changing engineering workflows at a remarkable pace. But in the race to adopt AI, one question matters more than most: What kinds of engineering tools are actually ready for this new era? The answer may have less to do with flashy interfaces and more to do with something foundational: open, structured, machine-readable, […]