FEA optimization using Deep Learning: Finite Element Analysis (FEA) is a widely used computational method for solving structural, thermal, and fluid dynamics problems in engineering. However, traditional FEA methods are computationally intensive, particularly for optimization tasks that require multiple simulations. Recent advancements in Deep Learning (DL) have shown immense potential in accelerating FEA, reducing computational […]
Introduction Simulations have become a cornerstone of innovation, enabling industries to model complex systems, test hypotheses, and predict outcomes without real-world experimentation. Whether designing a spacecraft, predicting the spread of a virus, or modeling the effects of climate change, simulations provide invaluable insights. However, traditional simulation methods are increasingly challenged by their high computational demands, […]
