Stijn Donders

Siemens Digital Industries Software NV (SISW)

Innovative simulation and test solutions for trustworthy data-centric AI

Innovative simulation and test solutions for trustworthy data-centric AI

August 11, 2026
Trustworthy AI begins with trustworthy data. Discover how Siemens and KU Leuven are performing research along this line, aiming to enable trustworthy data-centric AI for engineering applications. We consider the rich variety of engineering data, from modeling and simulation to test data acquisition, throughout product design and validation up to real-world operation. Check our blog to learn about our research towards trustworthy data-centric AI, together with KU Leuven in the frame of our research project SATISFY.AI, with support from the Flanders Innovation & Entrepreneurship Agency (VLAIO).
By Stijn Donders
< 1 MIN READ
Leveraging know-how with AI into efficient product design

Leveraging know-how with AI into efficient product design

July 14, 2026
Is your engineering data a hidden goldmine? Overcome the 'cold start' problem in AI by using geometric similarity and transfer learning to transform existing models and simulations into powerful assets, speeding up product design and innovation
By Stijn Donders
< 1 MIN READ
ML for Industrial CAE - "Just scale it"

ML for Industrial CAE - "Just scale it"

April 7, 2026
By scaling up ML, engineers can more quickly iterate and optimize their product design, thanks to faster simulations. ML can speed up traditional methods, which makes it easier to integrate their capabilities within established company software and processes. Read about our ML engineering innovation journey in the frame of the research project ML4SIM!
By Stijn Donders
< 1 MIN READ
Realizing reliable microelectronic systems

Realizing reliable microelectronic systems

February 12, 2026
1. Challenge: Microelectronic systems need to be reliable The sustainability of the market for Electronic Components and Systems (ECS) depends...
By Stijn Donders
< 1 MIN READ
Materials informatics accelerates customer tailored composite material design

Materials informatics accelerates customer tailored composite material design

September 20, 2022
Siemens DISW is a partner in the project DOME 4.0 aiming to realize a digital platform for connecting materials data sources to data users.
By Stijn Donders
< 1 MIN READ
The Fatigue Challenge of Additive Manufacturing: A Simulation-Based Approach

The Fatigue Challenge of Additive Manufacturing: A Simulation-Based Approach

March 30, 2022
Additive Manufacturing (AM), also known as 3D-printing, allows the production of complex components layer by layer, using only the material you need. Siemens Digital Industries Software offers simulation-based solutions to predict and optimize Additive Manufacturing product performance.
By Stijn Donders
< 1 MIN READ
Composite Materials Performance Evaluation - using a fast, virtual testing tool

Composite Materials Performance Evaluation - using a fast, virtual testing tool

March 22, 2021
Industrial Challenge: Materials Engineering for Composites subject to Variability The powerful combination of being strong and lightweight, makes composites materials...
By Stijn Donders
< 1 MIN READ
Efficiently Optimize Vehicle Durability With Virtual Tests Using Internal Loads

Efficiently Optimize Vehicle Durability With Virtual Tests Using Internal Loads

September 29, 2020
Learn to efficiently optimize vehicle durability with virtual testing to create an efficient and reliable design. Includes SimRod Case Study.
By Stijn Donders
< 1 MIN READ
The Fatigue Challenge of Additive Manufacturing: A Simulation-Based Approach

The Fatigue Challenge of Additive Manufacturing: A Simulation-Based Approach

May 6, 2020
Additive Manufacturing (AM), also known as 3D-printing, allows the production of complex components layer by layer, using only the material you need. Siemens Digital Industries Software offers simulation-based solutions to predict and optimize Additive Manufacturing product performance.
By Stijn Donders
< 1 MIN READ
Fatigue Simulation of Short Fiber Reinforced Composites

Fatigue Simulation of Short Fiber Reinforced Composites

March 16, 2020
It’s no secret that reducing the weight of materials is key to cutting CO2 emissions – but the question is,...
By Stijn Donders
< 1 MIN READ
VirtualCT: realistic composite material modeling using micro-CT-based voxel approach

VirtualCT: realistic composite material modeling using micro-CT-based voxel approach

May 9, 2019
Recall the blogpost a few weeks ago about the Simcenter 3D Virtual Material Characterization (VMC) ToolKit for materials engineering of lightweight components[1]. With the VMC ToolKit, the material d...
By Stijn Donders
< 1 MIN READ