Insights

Articles, talks and events.

What we learn on projects we share in trade journals and at conferences of the simulation community.

Articles

Conference paper · NAFEMS World Congress 2025

Accelerating R&D Processes with AI-Driven CAE

With PDTec: how centrally managed simulation data, task-specific AI models and SPDM integration speed up development in the automotive industry.

Conference paper · NAFEMS World Congress 2025

Optimized EV Charging: AI-Driven Model Reduction

With AUDI: an AI-reduced model sizes charging cables with phase-change material for fast charging, without simulating every variant.

Article (German) · NAFEMS Magazin 1/2025

AI in CFD simulation: neural networks optimise atmospheric water generators to reduce energy demand

A neural network assesses pipe cross-sections and bends, lowering flow resistance and the energy demand of water generators.

Article (German) · NAFEMS Magazin 4/2024

AI in FEM simulation: accelerated optimisation of plastic snap hook designs in the automotive industry

Neural networks predict snap hook stress from geometry, material and boundary conditions, and solve the design task inversely as well.

Article (German) · maschinenbau 1/2024

AI-supported component optimisation for more efficient electric vehicles

Phase-change material as passive heat storage during fast charging: FEM study, prototype and an ML model for inverse design.

Article (German) · NAFEMS Magazin 1/2024

Innovation in injection molding: process simulation for water injection technology

How a neural network predicts residual wall thickness and returns the process setting for a required thickness.

Talks and conferences

EventDatePlaceTalks
NAFEMS SPDM & AI/ML Conference 202627–29 October 2026Garching near Munich
  • From Simulation Data Management to Engineering Intelligence: AI-Integrated Requirement Robustness Assessment (with CAIQ)
  • AI-Driven Engineering Intelligence for Physics-Based Decision Support in CAE Workflows (with DLR and PTB)
CONTACT Open World 202623–24 September 2026Bonn
  • Beyond Faster Simulation – Towards Faster Engineering Decisions
  • Panel discussion: Engineering Intelligence with CAIQ
NAFEMS DACH Conference 20265–7 May 2026Bamberg
  • System intelligence for CAE decisions: AI assessment of AFP manufacturing defects at DLR
  • AI-Driven Development of Flow Disturbance Generators (with PTB)
ESA AI STAR 20253–5 December 2025Darmstadt
  • AI-Driven Simulation to Accelerate Complex Engineering Workflows
Symposium on Disaster Research 202518–20 September 2025Wels
  • Medical Aviation: AI-supported drone development for disaster response
NAFEMS World Congress 202519–22 May 2025Salzburg
  • Optimized EV Charging: AI-Driven Model Reduction (with AUDI)
  • Accelerating R&D Processes with AI-Driven CAE (with PDTec)
VDI SIMVEC 202419–20 November 2024Baden-Baden
  • AI-supported model reduction for efficient EV charging (with AUDI)
CADFEM Conference 20247 November 2024Salzburg
  • Using AI to make CAE-based development of vehicle components more efficient
NAFEMS DACH Conference 202410–12 June 2024Bamberg
  • AI in FEM simulation: accelerated optimisation of plastic snap hook designs in the automotive industry
  • AI in CFD simulation: neural networks optimise atmospheric water generators
  • Boosting Simulation & Testing Tasks by Integrating AI/ML in SPDM (with PDTec)
  • Workshop: AI-supported CAE project planning (with PDTec)
NAFEMS Nordic Conference 202422–23 May 2024Gothenburg
  • AI in FEM Simulation: Accelerated Optimization of Plastic Snap Hook Designs in the Automotive Industry
  • Workshop: Project Planning for AI-supported CAE
prostep ivip Symposium 202410–11 April 2024Munich–
NAFEMS Seminar: AI and ML in CAE-based Simulation23–24 October 2023Munich
  • AI in FEM and CFD simulation, shown on water injection technology in plastic injection moulding

Upcoming

NAFEMS World Congress 2027

25–28 April 2027 · Vancouver

Seminars and workshops at your site are available on request at any time.

Formats on request

Product demo

A guided look at dAIve Predict using your data or a comparable example.

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Work out together which data are suitable and what a sensible start looks like.

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A talk on AI in engineering for your development department or leadership team.

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