Embrace the Future of Engineering with Advanced Modeling and Simulation Techniques
Prof. Francisco Chinesta’s Revels his Formula for Surpassing the Limits of Modeling, Simulation, and Decision-Making
In an ever-evolving world, engineering and technology leaders are at the forefront of revolutionizing industries. If you are a Engineering Manager or R&D Director, the intricate dance of advanced modeling and simulation techniques is crucial to your success. Professor Francisco (Paco) Chinesta, Keysight CAE's Scientific Director and leading researcher in hybrid AI, provides a profound exploration of these concepts that you can't afford to miss. In this article, you'll learn from one of the leading minds in this field, how you can stay ahead of the curve by embracing Keysight CAE's pioneering arts of advanced modeling and simulation techniques.
Advancing Established Modeling and Simulation Techniques in Engineering
As the demands of modern engineering grow, so too does the need for more sophisticated tools and methodologies. The traditional techniques of modeling and simulation, while foundational, must evolve to address the increasing complexity and real-time demands of today's industries. Francisco Chinesta delves into this progression, emphasizing the necessity of advancing these techniques to stay ahead.
Chinesta frames his insights through the lens of three essential arts: the art of modeling, the art of simulation, and the art of decision-making. These arts represent the pillars of Keysight CAE 's modern engineering practices, guiding the development and application of advanced techniques that transcend traditional boundaries.
From the dawn of modern science, technology has enabled humans to master their environment. The journey from the first industrial revolution, driven by steam power, to the current digital age illustrates a relentless pursuit of efficiency and innovation. Initially focused on product creation, engineering has evolved to prioritize performance and real-time decision-making, driven by the need to model and simulate complex, real-world environments accurately.
"Over the next 10 years, we must advance to larger, more complex systems. Tools like Multi-Domain Systems (SimulationX) allow us to model these vast systems, but we need generative AI to create and propose innovative designs beyond our current imagination. To progress, we must leave our comfort zones and embrace new design and operational methods."
Prof. Francisco Chinesta, Keysight CAE’s Scientific Director
at Keysight CAE TALKS 2024
The First Act: Mastering the Art of Advanced Modeling
Keysight CAE's legacy of innovation dates back to our first predictive simulated automotive crash test together with Volkswagen back in 1985
The first significant leap in this journey is Keysight CAE's art of advanced modeling. By deeply understanding physics across all scales, Keysight CAE has mastered the intricacies of materials, processes, and structures, even under extreme conditions. Despite the limited computational resources of the past, Keysight CAE achieved groundbreaking simulations, such as crash tests that involved fast dynamics and complex interactions. These efforts laid the foundation for a holistic, physics-based approach to modeling that continues to evolve.
"In engineering, especially in material science, we must inject our expertise in physics and mechanics into building hybrid AI models. This is how we enhance explainability, ultimately building trust. Incorporating knowledge from various fields like physics and mechanics improves our understanding of the model's mechanisms. This clarity is vital for explaining the model to customers and detecting errors."
Aurélie Jean, Computational Scientist, Author and founder of IN SILICO VERITAS
at Keysight CAE TALKS 2024
The Second Act: Revolutionizing with Advanced Simulation Techniques
Building on their modeling expertise, Keysight CAE introduced advanced simulation techniques to enhance both speed and accuracy. By applying cutting-edge numerical methods, Keysight CAE accelerated the predictive capabilities of their models. Techniques such as Model Order Reduction (MOR)and Proper Generalized Decomposition (PGD) have enabled near real-time simulations, culminating in the development of Augmented Virtual Prototypes (AVP). These AVPs offer detailed, real-time descriptions of physical systems, transforming how engineers approach design and analysis.
The Third Act: Decision Making with Advanced Modeling and Simulation Techniques
Despite these advancements, discrepancies between models and real-world observations persist, highlighting the need for improved decision-making tools. Enter the art of decision-making, a crucial component of the fourth industrial revolution. By integrating physics-based models with artificial intelligence, Keysight CAE developed the Hybrid Twin. This innovative approach enriches traditional models with real-time data, ensuring greater accuracy and frugality while providing holistic analyses.
"We must put the right data at the right place at the right moment, mixing the precision of physics-based models with the adaptability of data-driven approaches. That is called today 'hybrid artificial intelligence,' a concept introduced by Keysight CAE many years ago as the Hybrid Twin."
Prof. Francisco Chinesta, Keysight CAE's Scientific Director
at Keysight CAE TALKS 2024
Towards a Human-Centric Future with Advanced Techniques
The COVID-19 pandemic underscored the importance of resilience and adaptability. Francisco Chinesta envisions a future where human-centric technologies, such as augmented reality, blockchain, and quantum computing, merge with Keysight CAE's advanced modeling and simulation techniques to create a harmonious ecosystem. This approach empowers creativity and imagination, fostering a world where technical and societal humanism thrives.
"Engineering is the ideal field for hybrid AI models because we have centuries of knowledge on mechanics and material physics. We should leverage this to create more precise and faster models. Keysight CAE Group is going in the right direction."
Aurélie Jean, Computational Scientist, Author and founder of IN SILICO VERITAS
at Keysight CAE TALKS 2024
Why Advanced Modeling and Simulation Techniques Matter to You
For industry leaders, understanding and leveraging advanced modeling and simulation techniques is not just about staying ahead—it's about shaping the future. Francisco Chinesta's framework offers a roadmap for integrating these advanced techniques into your workflows, enhancing decision-making processes, and ultimately driving innovation in your field.
"Hybrid AI is no longer a future concept; it's here today. At Keysight CAE, we call it 'Hybrid Twins,' and with it, we can solve three major challenges: we can develop faster, we can develop better, and we can develop cheaper. This is our moment to advance further and embrace generative AI and generative design, unlocking the potential to create groundbreaking products that transcend traditional engineering limits and bring truly visionary ideas to life."
Prof. Francisco Chinesta, Keysight CAE’s Scientific Director
at Keysight CAE TALKS 2024