Engineering.com’s July webinar series will showcase the leading edge of design and simulation software.
Do you ever feel overwhelmed by the variety—and rapid evolution—of digital engineering tools? You could write a dictionary with all the acronyms: AI, BIM, CAD, DFM, EDA, FEA… etc.
It may be a vast and sprawling jungle of technology, but if you can hack your way through it the benefits are immense. Today’s design and simulation tools can help you be a better, more efficient engineer, allowing you and your team to get products to market faster while spending less. Using the right tools in the right way can give you engineering superpowers.
Okay, but how? You don’t have to hack your way through the jungle alone. Let Engineering.com’s Design and Simulation Week 2025, kicking off July 14, be your guide.
In this series of webinars, we’re bringing in industry experts to map the territory of design and simulation software—teaching you what tools, trends and techniques will be most valuable to you and your organization. You’ll see how other engineers are leveraging new technology, learn how to plan your own digital transformation and have the chance to interact directly with our expert guests. The only thing you won’t get is lunch (too many ants in the jungle, anyways).
Registrations are now open. Here’s what’s in store for the week:
July 14: Welcome to Design and Simulation Week 2025
12:00 PM Eastern Daylight Time
Welcome to Engineering.com’s Design and Simulation Week 2025, where we’ll help you stay on top of the most exciting developments in engineering software. In this kickoff session, we’ll explore the design and simulation tools, trends and techniques that are shaping new engineering workflows, with a preview of the sessions and speakers you’ll see in the week to come.
What you’ll learn:
- What are the software trends you need to be aware of?
- Is AI really ready for engineering software?
- How can you take full advantage of Design and Simulation Week 2025?
July 15: The rise of AI agents in engineering: What can we expect?
12:00 PM Eastern Daylight Time
The next revolution in engineering simulation has begun, and AI is increasingly in the driver’s seat.
AI in simulation isn’t just about accelerating physics predictions any longer. AI agents are becoming capable of core engineering work too—handling decisions, performing model setup, and running simulations. But with this new era comes a pressing question: will these powerful tools disrupt the traditional role of engineers, or unlock new levels of human ingenuity?
Join us as we explore the rise of AI agents in engineering and dive into the realities behind the buzzwords. Whether you’re curious, cautious, or actively exploring AI-driven workflows, this interactive session will help you separate fact from fiction—and prepare for what’s next.
What you’ll learn:
- What AI agents are: See how Engineering AI and Physics AI is reshaping the experience of simulation in engineering workflows.
- Real-world use cases: See the concepts put into context with examples of AI agents solving complex engineering tasks.
- A vision and strategy for AI tooling: Understand the value we see this unlocking in the future.
July 15: Best practices for scaling automation
2:00 PM Eastern Daylight Time
Manufacturers today are under growing pressure to deliver more custom solutions under ever-tightening schedules. Customers are demanding bespoke products, and manufacturers need to find ways to deliver, without taking excessive time away from engineering resources.
The solution? Automation. Makes sense, but where do you begin and how can you scale your automation strategy?
What you’ll learn:
- How automation helps reduce repetitive tasks in mechanical design.
- How to reduce time to market when configuring bespoke products.
- How you can win more business with custom made forms for sales.
July 16: Physics AI: The engineering revolution you need to be prepared for
12:00 PM Eastern Daylight Time
The Physics AI revolution is happening right now in engineering, and the availability of massive amounts of data together with recent advances in physics-based AI/ML modeling architectures is making it possible.
This revolution will have a meaningful and disruptive impact on how products are designed and how engineering teams are organized and work.
With advances in large-scale data availability, Physics AI models can be trained in specific domains with inference times around 1-3 seconds and accuracy in the predictions of the physics and derived quantities in the range of 1-2%.
What you’ll learn:
- Recent trends in Physics AI including most likely uses in engineering product development.
- How availability of massive amounts of high-fidelity data affects model accuracy for both scalar output quantities and field prediction.
- Domain-specific vs foundational models: How far can we currently push Physics AI models and how can we improve model generalizability?
- See examples of industrial applications of Physics AI.
July 17: Challenges, trends and opportunities in multiphysics simulation in 2025
12:00 PM Eastern Daylight Time
In this webinar, we’ll present the results from a recent survey of 250 engineers and decision-makers working in high-technology R&D. We’ll cover the 4 key challenges faced with multiphysics simulation and examine industry perceptions around modern platforms and emerging technologies.
Attendees will gain a clear understanding of the current landscape of multiphysics simulation and how new approaches are being implemented to address the common bottlenecks.
What you’ll learn:
- The 4 key challenges faced with multiphysics simulation in high-tech R&D.
- The role of modern platforms and emerging technologies addressing these challenges.
- Real-world examples of how these technologies are impacting simulation workflows today.
Don’t miss out! Register now for Engineering.com’s Design and Simulation Week 2025.
