1 citations · 2 across the 2 of their papers we have counts for
3 papers
Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
Shahroz Khan, Zahid Masood, Muhammad Usama +4
In this work, we propose a set of physics-informed geometric operators (GOs) to enrich the geometric data provided for training surrogate/discriminative models, dimension reduction…
Accelerating Dimensionality Reduction in Wave-Resistance Problems through Geometric Operators
Stamatios Stamatatelopoulos, Shahroz Khan, Panagiotis Kaklis
Reducing the dimensionality and uncertainty of design spaces is a key prerequisite for shape optimisation in computationally intensive fluid problems. However, running these analys…
Generative VS non-Generative Models in Engineering Shape Optimization
Muhammad Usama, Zahid Masood, Shahroz Khan +2
In this work, we perform a systematic comparison of the effectiveness and efficiency of generative and non-generative models in constructing design spaces for novel and efficient d…