Serving the Numerical Simulation community since 1989 
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"From Legacy Finite Element Modeling to Explainable Simulation: Technical Requirements for XAI in Computational Mechanics", a technical paper authored by ESRD Co-founder and Chairman Dr. Barna Szabó, was recently published in Computational Mechanics and is available to all as an open-access article. This paper discusses technical requirements posed by Explainable AI (XAI), methods for controlling both model-form and discretization errors in AI-assisted simulation, and model-centric vs. element-centric implementations.
Numerical simulation has substantial unrealized potential due to a disconnect between the professional practice of finite element modeling and the underlying science of numerical simulation. Realizing this potential requires bridging that gap—a challenge that entails overcoming several critical obstacles.
Compliance with ASME and NASA standards on verification, validation, and uncertainty quantification (VVUQ) is often taken as sufficient evidence that simulation results can be trusted. This is a mistake, however. Compliance alone does not answer the question that truly matters to decision-makers: Are the predictions reliable enough for the decision at hand?
Dynamic Results Mining.
Solution Verification.
Simulation Governance.
Democratization.
