AI in engineering Advancing Engineering: How AI Generates Physically Consistent and Executable Models Explore a new AI framework that rethinks scientific modeling, enabling large language models to generate physically consistent and simulation-ready code for complex structural engineering tasks.
Deep Learning AI Revolutionizes Material Science: Contactless Estimation of Mechanical Properties Discover how a new deep learning framework enables fast, accurate, and contactless estimation of material displacement and compressibility from image series, offering vital insights for engineering and biomedical fields.
Least-Squares Neural Network Least-Squares Neural Networks: Revolutionizing How AI Solves Complex Engineering Equations Explore the Least-Squares Neural Network (LSNN) method, an AI-driven approach using ReLU neural networks to accurately solve hyperbolic PDEs, capturing shock features without traditional limitations for engineering and scientific applications.
Fluid dynamics simulation Advancing Fluid Dynamics: How AI and Neuro-ODEs Revolutionize Simulation for Industry Explore PIVONet, an AI model transforming fluid simulation by combining Neuro-ODEs and Continuous Normalizing Flows for efficient, real-time analysis of turbulent flows. Discover its impact on industrial design, safety, and operational efficiency.
AI in engineering Revolutionizing Engineering Simulation: How AI is Transforming Geometry and Meshing Explore how AI and machine learning are overcoming bottlenecks in engineering simulation, automating complex geometry preparation and mesh generation for faster, more accurate results.
