Surrogate Models

2 items

RESEARCHarXiv CS.AI·4/17/2026

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making

This survey explores the integration of surrogate modeling and Explainable AI (XAI) for complex system simulations, addressing the inherent black-box nature of these models. It aims to reconnect these complementary fields by outlining how XAI can unpack surrogate models despite engineering constraints.

simulations Surrogate Models Decision Making machine learning

RESEARCHarXiv CS.LG·22d ago

Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation

This paper introduces Mask-Morph Graph U-Net (MMGUNet), a practical approach addressing the limitation of hierarchical Graph U-Net architectures in crash simulations. It aims to improve generalisability by retaining fixed coarse graph connectivity while improving spatial correspondence, offering a faster alternative to computationally expensive finite element methods.

Surrogate Models Crashworthiness Graph Neural Networks machine learning