Introduction The integration of artificial intelligence (AI) into the field of physics has emerged as one of the most promising and transformative developments in recent scientific history. No longer confined to optimizing experiments or crunching numbers, AI systems are now actively contributing to hypothesis generation, simulation, data interpretation, and even the formulation of physical laws. […]
Introduction Integrate AI Models with Scientific Simulations : In recent years, the fusion of artificial intelligence (AI) models with scientific simulations has emerged as a transformative approach reshaping the landscape of scientific discovery. This integration offers a powerful synergy: AI contributes data-driven intelligence and pattern recognition capabilities, while scientific simulations provide rigorous, physics-based modeling essential […]
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 […]
