ProgSim, the German-language Online Magazine

Relaunched - focusing on AI/ML, SPDM, and CAE

ISSN 2311-522X

The magazine "ProgSim" (Progressive Simulation) is the German-language online magazine for engineering simulation focusing on Artificial Intelligence (AI), Machine Learning (ML), Simulation Process and Data Management (SPDM), Computer Aided Engineering (CAE) / numerical simulation methods and related fields.

AI / ML
Today, a new generation of predictive models is emerging. These models go beyond integral values – they can predict high-dimensional outputs such as spatially and time-resolved quantities. While the potential impact on CAE-based workflows is significant, industry adoption is slow. Questions regarding robustness, data generation, generalization, validation, and integration into existing simulation environments remain.

SPDM
Information about best practice methodologies – and challenges – in SPDM deployment as well as strategic value of SPDM solutions are essentiall. Real-world examples of the business benefits and competitive advantages that can be gained from the adoption of SPDM solutions, including early AI deployments utilizing SPDM.

CAE
Standards for exchange, collaborative working, and long-term archival of simulation datasets are as vital as data and process integration tools. How best to achieve technical interoperability between CAE tools, PDM/PLM systems, and AI agents to ensure seamless data flow.

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Download issue 75 here

Inhalt / Contents

NAFEMS DACH Student Award

SPDM / AIML Conferences 2026:
- Questions and answers to and from the experts
- Invitation and agenda

Multiphysics Conference 2026 / NAFEMS World Congress 2027

Fachbeiträge / technical articles:

Gesponsorter Fachbeitrag / sponsored expert article: Probabilistic AI for Engineering: Evaluation of a Single Model Family Across Tabular, Mesh-Based and Particle-Based Benchmarks
Kevin Cremanns (PI Probaligence)

Datenfreie Physics-Informed Neural Networks zur Modellierung industrieller Strömungen
Amin Zargaran, Uwe Janoske (Bergische Universität Wuppertal)

KI-gestütztes Simulationsdatenmanagement für industrielle Entwicklungsumgebungen
Maciej Klebowski CAIQ Polska); Alexander Mahl (CAIQ)

Von Daten zu Entscheidungen: Eine Graph-KI-Architektur für die dialoggestützte Crash-Analyse
Sebastian Fink (GNS Systems)

Datenmanagement als Basis für die Verknüpfung von Simulationen und physischen Tests
Sebastian Schweigert-Recksiek (:em engineering methods); Roland Kummeth, Alwin Perras, Steffen Hartmann (Schaeffler Technologies)

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