Dear Sir or Madam,

Unlock a new era of efficiency and insight in engineering simulation. We're excited to announce CDH/ACE, a revolutionary framework that combines physics-based FE modeling and machine learning into a single, automated, and intelligent system.

What is CDH/ACE?

CHD/ACE (Autonomous Computational Experiments) is an AI-reinforced CAE platform. It's designed to automate simulation workflows, perform self-learning experiments, and build predictive models, ultimately enabling faster, smarter, and more efficient computational engineering solutions.

Key Capabilities in Version 2025b:

• Hybrid Modeling: Combines high-fidelity FEM solvers (e.g., Nastran, Optistruct, Optran) with machine learning to deliver accurate yet fast predictions
• Autonomous Workflows: Automates design of experiments (DOE), parameter identification, sensitivity studies, and robustness analyses.
• Self-Learning Engine: Iteratively generates simulation data and improves accuracy through feedback-driven model refinement.
• Model Reduction: Creates lightweight, real-time-capable predictive models using trained ML algorithms.
• Python Integration: Open, scriptable architecture for seamless integration with custom tools and pipelines.

Benefits for Engineers and Teams:

• Faster Results: Significant reduction in simulation setup and computation time.
• Wider Exploration: Automatically explores broader design spaces for better-performing solutions.
• Ease of Use: Designed for accessbillity - advanced simulations without the need for expert-level of CAE knowledge.
• Scalability: Supports up to 64 CPU cores, Linux-based clusters, and integration with CAE job queuing systems.
• NVH Focus: Optimized for vibration and acoustics tasks - especially powerful when used with CDH/AMLS and FastFRS.

Use Cases:

• Efficient NVH optimization
• Multi-parameter sensitivity & robustness evaluations
• AI-based model acceleration
• Real-time capable simulation substitutes 
• Automated simulation campaigns

System Requirements & Compatibility:

• Supported FEM Solvers: MSC/Hexagon Nastran (2019+), Simcenter Nastran (2020+), Optistruct (2029+), CDH/OPTRAN (v5.3+).
• OS: Linux 64-bit (RedHat ≥ 8).
• Hardware: Intel Xeon or AMD EPYC, min. 8 cores, 256 GB ECC RAM. Optional: GPU acceleration for ML training.

If you have any questions or need assistance, please contact support@cdh-ag.com. 

Further information on our new product is available on our website. Should you be interested in a demonstration project, please submit a contact request.