RESOURCE LIBRARY

Watch and learn how to combine physics and AI for faster, smarter simulation workflows. In this exclusive roundtable, Digital Engineering 24/7 and COMSOL explore how AI-derived reduced order models (ROMs), also known as surrogate models, are transforming engineering workflows. By leveraging trained models to approximate complex physical behavior, engineers can bypass time-consuming, compute-intensive physics solvers and dramatically accelerate simulation cycles. In this roundtable, Kenneth Wong and Danilo Di Stefano - modeFRONTIER Product Manager discuss: how physics-based simulations and ROMs complement and strengthen each other, why relying on only one approach can limit your results, what you need to develop and deploy your first ROM successfully. Watch the discussion and discover how to combine physics and AI for faster, smarter simulation workflows.

ESTECO’s approach to unifying architecture models and simulation analysis throughout the engineering design process. Model-based systems engineering (MBSE) is essential for managing the complexity of systems across industries like aerospace programs which require a variety of models, datasets, practices, and regulatory requirements. Yet many organizations still struggle to connect system architecture models with simulation analysis due to tool fragmentation, data silos and manual workflows. This gap introduces risk, slows decision-making, and limits the value of digital engineering. In this white paper we explore how ESTECO’s MBSE plugin, developed for connecting Cameo Systems Modeler and VOLTA digital engineering platform, closes this loop. Tailored for engineering design processes, the MBSE plugin enables traceable verification and validation (V&V) within existing toolchains - from requirements to simulation results.

Watch and learn how our AI/ML process data approach for engineering design optimization is orchestrated by modeFRONTIER’s workflow. Watch now the webinar Accelerate design predictions with modeFRONTIER’s automated AI/ML workflow with Danilo Di Stefano, modeFRONTIER Product Manager, and Luca Battaglia, Support Engineer, as they illustrate how our AI/ML process data approach for engineering design optimization is orchestrated by modeFRONTIER’s workflow. Learn how this methodology facilitates the effective handling of both table-like and CAE simulation data enabling the development of computational efficient machine learning (ML) based Response Surface Models (RSM) and Reduced Order Models (ROM) to expedite the exploration of complex design spaces, and make fast design predictions early in the product development process.

Read how Daiwa House streamlined structural calculations & cut costs with ESTECO Technology, enabling more designers to perform structural design optimization. Daiwa House Industry Co., is a pioneer in the “industrialization” of construction in Japan, and since it was established in 1955, it has been developing and supplying high-quality housing that stresses the needs of inhabitants. Today it has grown into one of Japan’s leading home builders. It has a wide range of business developments, centered around housing and extending to the construction of shops and office buildings, and it also includes the company’s own special brand of resort operations and retail do-it-yourself home centers. Daiwa House has embraced a digital strategy known as the Mobius Loop Concept, aiming to integrate technology across the building lifecycle. A key pillar of this approach is the internal mandate to adopt building information modeling (BIM) within its building division, initiated in 2017. The company began developing a BIM platform to serve as a central hub for all project data. At the heart of this system lies the common data environment (CDE) — a collaborative space where all project members can manage all data related to the construction process and contribute to a unified 3D model. By minimizing the reliance on paper drawings and siloed workflows, Daiwa House has laid the foundation for efficient, data-driven decision-making across departments. Japan’s vulnerability to seismic activity poses a unique challenge in structural engineering. Structural design in the country must meet three fundamental criteria: Functional requirements: meeting the client’s expectations for performance and usability. Safety: ensuring buildings can withstand frequent and potentially devastating earthquakes. Economic efficiency: balancing cost-effectiveness with high structural integrity. Traditionally, Daiwa House’s structural design process involved manual iterations: engineers created a model, ran calculations, made adjustments based on experience, and repeated the process until a final plan emerged. While this approach has served its purpose, it faced four major limitations: A limited number of design alternatives considered. Risk of missing better solutions due to fixed thinking patterns. Subjective decision-making based on individual judgment. Long lead times for design completion. Given these limitations, the need for a more efficient structural design process became clear. Daiwa House turned to modeFRONTIER and VOLTA software solutions to introduce an optimization system for their structural engineering teams, allowing them to perform many simulations more quickly. In particular, modeFRONTIER was chosen for its ability to integrate and automate structural analysis software with the aim of performing rapid, high-volume simulations and applying design optimization methods. Engineers use it to define variables such as beam and column types, run calculations, and evaluate performance across hundreds of design variants — from cost and material usage to seismic resilience. Once a simulation workflow is created in modeFRONTIER, it is uploaded to VOLTA platform, which allows engineers across Daiwa House’s 50+ regional branches to: Execute the simulation workflow and apply design optimization studies remotely. Visualize and analyze simulation results through interactive web-based dashboards. Collaborate more easily by sharing design results and insights. Case study highlights: With the new optimization system, structural engineers analyzed two steel-framed buildings (a 2-story, 1000m² and a 3-story, 3700m² structure). Optimization objectives included minimizing the amount of steel structure (cost factor) and the deformation of the building (performance factor). Results showed: 7.4% cost reduction in Project 1 2.5% cost reduction in Project 2 Both while meeting or exceeding structural performance targets. Daiwa House engineers are located at various branches throughout Japan. To ensure consistent and efficient use of the optimization system across the entire company, it was essential that all engineers, regardless of their location, have access to it. That’s why they adopted the VOLTA digital engineering platform to democratize optimization across all engineers in the company, making it easy to share, monitor, and replicate best practices. How they use it: Upload and execute optimization workflows created in modeFRONTIER. Visualize results across multiple projects. Share insights with project teams and decision-makers. By integrating optimization into their structural design process, Daiwa House achieved a paradigm shift in how buildings are designed: More design alternatives explored in less time. Collaborative data-driven decision-making. Clear performance insights for every design considered. With VOLTA, Daiwa House can simulate up to 200 design alternatives — compared to just five in the traditional method — and visualize their performance clearly. It has significantly improved collaboration, decision-making, and reduced the design time by up to 67%, which amounts to a total reduction of 2100 hours to 700 hours annually across all projects. This translates to safer, more competitive products and time savings. Looking forward, Daiwa House plans to accelerate digital transformation by integrating optimization results with a centralized database, enabling smarter iterations and knowledge reuse. The company also sees potential to expand optimization to other structural types such as reinforced concrete (RC) structures, and architectural and equipment design.

Watch and learn how to accelerate aircraft design optimization by combining parametric modeling, Physics AI, and multidisciplinary design optimization (MDO) in a unified automated workflow. Watch now the webinar AI-Accelerated Aircraft Design Optimization with nTop, Luminary Cloud, and ESTECO. Design optimization studies often involve evaluating dozens to hundreds of design configurations, each traditionally requiring meshing and full CFD simulation that can take hours to days per run. This results in total study durations of weeks to months, with computational resources becoming the limiting factor for early-stage design quality. Learn how to generate design variants in nTop, train Physics AI models with Luminary Cloud, and orchestrate, manage, and analyze run optimization studies in ESTECO VOLTA digital engineering platform - eliminating the bottleneck of running full CFD simulations for every design iteration while maintaining analysis accuracy.

Watch and learn Runbox - the VOLTA web app which bridges the gap between simulation experts and non-experts. Watch now the webinar with Marco Turchetto, VOLTA Product Manager, Gabriele Degrassi, Senior Application Engineer and Chiara La Guardia, Application Engineer. We demonstrate how to close the gap between simulation experts and non-experts by capturing and automating processes into web apps, enabling seamless execution of design exploration and optimization studies within the VOLTA digital engineering platform. The complexity of simulation workflows often limits access to a selected group of domain experts. How can we extend the use of simulation workflows and empower a wider audience of engineers to run simulations while maintaining accuracy and consistency? By leveraging VOLTA APIs, method developers can encapsulate CAE expert knowledge into user-friendly, web apps. This allows any engineer to perform design evaluations without expert-level simulation experience.

Accelerate vehicle design processes with ESTECO’s digital engineering solutions for multidisciplinary design optimization, AI data-driven modeling and simulation data management. In this ebook, we explore how ESTECO’s digital engineering solutions equip automotive OEMs with vendor-neutral simulation process automation workflows, robust data governance, and collaborative AI-powered multidisciplinary design optimization (MDO) technology. These tools empower OEMs to process and evaluate countless design iterations quickly, ensuring results directly influence vehicle design from the earliest stages of development. Access our gated content for free and explore how the automotive industry can accelerate vehicle design processes using ESTECO’s digital engineering solutions for multidisciplinary design optimization, AI data-driven modeling and simulation data management.

Learn how VOLTA digital engineering platform empowers MBSE programs to evolve from concept to compliance, with repeatable, traceable, and simulation-driven V&V at the core. Watch now the webinar and learn how VOLTA digital engineering platform empowers MBSE programs to evolve from concept to compliance, with repeatable, traceable, and simulation-driven V&V at the core. AIAA hosted us for a webinar focused on tackling the practical challenges of implementing traceable verification and validation (V&V) in MBSE initiatives, using a structured multidisciplinary design optimization (MDO) approach. Roel Van De Velde, VP of Aerospace and Defense and Daniel Schmidt, Senior Application Engineer at ESTECO North America, explore how simulations from diverse tools can be referenced in Cameo models using VOLTA, the digital engineering platform for MDO and SPDM. Discover how VOLTA helps manage simulation data with full traceability, version control, and context, ensuring data-driven decisions are made with confidence.

Let's take a deep dive into modeFRONTIER, focusing on its latest innovations for process automation and design optimization. Watch the webinar now and explore the latest innovations in process automation and design optimization with modeFRONTIER. This session spotlights the modeFRONTIER Planner environment, which empowers you to create, reuse and apply various design space exploration strategies within a single simulation workflow and project file. Discover the newly introduced AI data-driven modeling capabilities, enabling real-time simulation of complex what-if scenarios. The webinar also explores the modeFRONTIER python ecosystem, which offers APIs for creating custom simulation workflows or performing ML-based design exploration or optimization analysis. Additional highlights include improved integration with electronic design automation (EDA) and 3D Modeling software, the introduction of the proprietary MUSA optimization algorithm and the all-new sensitivity analysis tool.

The use of simulations across the product lifecycle has been growing over the years. However, simulation artifacts have largely remained siloed in separate systems in design, testing, and validation workflows. Even proper organization of the data is lacking in most organizations. The use of simulations across the product lifecycle has been growing over the years. However, simulation artifacts have largely remained siloed in separate systems in design, testing, and validation workflows. Even proper organization of the data is lacking in most organizations. As companies increasingly adopt simulation-driven design and digital twins, the ability to track and connect data, processes, and results is becoming essential. Without it, valuable insights get lost, slowing innovation and decision-making. Discover how ESTECO VOLTA and its PLM connector are an excellent choice for early adopters who are considering a SPDM system and developing a connection between PLM and simulation data. Fill out the form to access this exclusive commentary and explore strategies for unlocking the true value of your simulation data.